diff --git a/addons/yt_world/__manifest__.py b/addons/yt_world/__manifest__.py
index 0884e80..398c279 100644
--- a/addons/yt_world/__manifest__.py
+++ b/addons/yt_world/__manifest__.py
@@ -1,6 +1,6 @@
 {
     'name': '宇森世界 - 沙盘与微观世界',
-    'version': '0.7',
+    'version': '0.8',
     'summary': '地表存储(沙盘记忆) + 微观世界(1:1预留) + 资源(框架)',
     'description': '每个玩家拥有一个确定性生成的世界；仅持久化玩家改过的地表地块(种子+增量覆盖)。微观世界独立为 1:1 模型仅预留，资源模型为框架。',
     'category': 'Game',
diff --git a/addons/yt_world/controllers/world_api.py b/addons/yt_world/controllers/world_api.py
index c5bd3b5..7f22b77 100644
--- a/addons/yt_world/controllers/world_api.py
+++ b/addons/yt_world/controllers/world_api.py
@@ -916,18 +916,26 @@ class YtWorldApi(http.Controller):
                 'status': c.get('status') or 'idle',
                 'state': c.get('state') or 'idle',
                 'mood': c.get('mood', '😊'), 'job': c.get('job', 'none'),
-                'equip': self._normalize_equip(c.get('equip')),
                 'tile_ref': c.get('tile_ref') or {},
             }
             rec = model.search([('world_id', '=', world.id), ('cid', '=', cid)], limit=1) if cid else None
             if rec:
+                # 装备加成是"临时"的（来自实例，不存基础字段）；前端回传的是有效属性，
+                # 落库时回扣装备加成，避免把临时加成固化进基础值导致下次加载重复叠加。
+                bonus = rec._equip_bonus()
+                eff_hp_max = vals.get('hp_max', rec.hp_max)
+                for f in ('attack', 'defense', 'hp_max'):
+                    if f in vals and isinstance(vals[f], (int, float)):
+                        vals[f] = max(0, int(vals[f]) - bonus.get(f, 0))
+                if 'hp' in vals:
+                    vals['hp'] = min(vals['hp'], eff_hp_max)
                 rec.write(vals)
             else:
                 vals['world_id'] = world.id
                 vals['cid'] = cid
                 rec = model.create(vals)
             out.append({'oid': rec.id, 'cid': cid, 'level': rec.level,
-                        'exp': rec.exp, 'hp': rec.hp, 'equip': rec.equip or {}})
+                        'exp': rec.exp, 'hp': rec.hp})
         # 删除指定 cid
         deleted = body.get('deleted') or []
         if deleted:
@@ -1085,20 +1093,37 @@ class YtWorldApi(http.Controller):
         if action == 'equip':
             slot = body.get('slot')
             code = body.get('code')
-            if slot not in ('weapon', 'armor', 'accessory'):
+            if slot not in ('weapon', 'armor', 'accessory', 'boots'):
                 return _json({'ok': False, 'error': 'bad_slot'})
             item = request.env['yt.world.equip.item'].sudo().search([('code', '=', code)], limit=1)
             if not item:
                 return _json({'ok': False, 'error': 'item_not_found'})
-            equip = dict(rec.equip or {})
-            equip[slot] = code
-            rec.write({'equip': equip})
+            if item.slot != slot:
+                return _json({'ok': False, 'error': 'slot_mismatch'})
+            # 装备改为管理"实例"：每只装备是独立实物，支撑未来耐久/强化/交易
+            Inst = request.env['yt.world.equip.instance'].sudo()
+            # 1) 先卸下该槽现有装备（equipped_slot 置空 = 回背包）
+            old = Inst.search([('owner_creature_id', '=', rec.id),
+                               ('equipped_slot', '=', slot)], limit=1)
+            if old:
+                old.write({'equipped_slot': False})
+            # 2) 优先复用背包中同款未装备实例（避免每次点击都新建，造成实例堆积）
+            reuse = Inst.search([('owner_creature_id', '=', rec.id),
+                                 ('item_id', '=', item.id),
+                                 ('equipped_slot', '=', False)], limit=1)
+            if reuse:
+                reuse.write({'equipped_slot': slot})
+            else:
+                Inst.create({'item_id': item.id, 'owner_creature_id': rec.id,
+                             'equipped_slot': slot, 'durability': 100,
+                             'max_durability': 100, 'enhance_level': 0})
         elif action == 'unequip':
             slot = body.get('slot')
-            equip = dict(rec.equip or {})
-            if slot in equip:
-                equip.pop(slot, None)
-                rec.write({'equip': equip})
+            # 仅把该槽实例的 equipped_slot 置空（回背包），不删除实例
+            inst = request.env['yt.world.equip.instance'].sudo().search(
+                [('owner_creature_id', '=', rec.id), ('equipped_slot', '=', slot)], limit=1)
+            if inst:
+                inst.write({'equipped_slot': False})
         elif action == 'train':
             rec.write({
                 'level': rec.level + 1,
diff --git a/addons/yt_world/data/yt_world_equip_item.xml b/addons/yt_world/data/yt_world_equip_item.xml
index fc9665c..3a3c032 100644
--- a/addons/yt_world/data/yt_world_equip_item.xml
+++ b/addons/yt_world/data/yt_world_equip_item.xml
@@ -6,7 +6,7 @@
   <record id="equip_iron_dagger" model="yt.world.equip.item">
     <field name="code">iron_dagger</field>
     <field name="name">铁匕首</field>
-    <field name="icon">🗡️</field>
+    <field name="icon">iron_dagger</field>
     <field name="slot">weapon</field>
     <field name="rarity">common</field>
     <field name="stats">{"attack": 3}</field>
@@ -16,7 +16,7 @@
   <record id="equip_steel_sword" model="yt.world.equip.item">
     <field name="code">steel_sword</field>
     <field name="name">精钢短剑</field>
-    <field name="icon">⚔️</field>
+    <field name="icon">steel_sword</field>
     <field name="slot">weapon</field>
     <field name="rarity">rare</field>
     <field name="stats">{"attack": 7, "speed": 2}</field>
@@ -26,7 +26,7 @@
   <record id="equip_rune_blade" model="yt.world.equip.item">
     <field name="code">rune_blade</field>
     <field name="name">符文长剑</field>
-    <field name="icon">🗡️</field>
+    <field name="icon">rune_blade</field>
     <field name="slot">weapon</field>
     <field name="rarity">epic</field>
     <field name="stats">{"attack": 12, "hp_max": 15}</field>
@@ -37,7 +37,7 @@
   <record id="equip_leather_vest" model="yt.world.equip.item">
     <field name="code">leather_vest</field>
     <field name="name">皮背心</field>
-    <field name="icon">🦺</field>
+    <field name="icon">leather_vest</field>
     <field name="slot">armor</field>
     <field name="rarity">common</field>
     <field name="stats">{"defense": 2, "hp_max": 5}</field>
@@ -64,6 +64,37 @@
     <field name="desc">传说用古龙鳞片打造，沉重但几乎刀枪不入。</field>
   </record>
 
+  <!-- 鞋子 -->
+  <record id="equip_straw_sandals" model="yt.world.equip.item">
+    <field name="code">straw_sandals</field>
+    <field name="name">草鞋</field>
+    <field name="icon">🩴</field>
+    <field name="slot">boots</field>
+    <field name="rarity">common</field>
+    <field name="stats">{"speed": 1}</field>
+    <field name="desc">轻便的草编鞋，适合远行。</field>
+  </record>
+
+  <record id="equip_leather_boots" model="yt.world.equip.item">
+    <field name="code">leather_boots</field>
+    <field name="name">皮靴</field>
+    <field name="icon">🥾</field>
+    <field name="slot">boots</field>
+    <field name="rarity">rare</field>
+    <field name="stats">{"speed": 3, "defense": 1}</field>
+    <field name="desc">结实的皮靴，能保护双脚并提升移动速度。</field>
+  </record>
+
+  <record id="equip_wind_boots" model="yt.world.equip.item">
+    <field name="code">wind_boots</field>
+    <field name="name">疾风靴</field>
+    <field name="icon">👟</field>
+    <field name="slot">boots</field>
+    <field name="rarity">epic</field>
+    <field name="stats">{"speed": 6, "energy_max": 10}</field>
+    <field name="desc">刻有风之符文的靴子，穿戴者仿佛能踏风而行。</field>
+  </record>
+
   <!-- 饰品 -->
   <record id="equip_lucky_charm" model="yt.world.equip.item">
     <field name="code">lucky_charm</field>
diff --git a/addons/yt_world/models/__init__.py b/addons/yt_world/models/__init__.py
index ae78fce..7f3a03b 100644
--- a/addons/yt_world/models/__init__.py
+++ b/addons/yt_world/models/__init__.py
@@ -3,6 +3,7 @@ from . import yt_world_tile
 from . import yt_world_tile_micro
 from . import yt_world_build_item
 from . import yt_world_equip_item
+from . import yt_world_equip_instance
 from . import yt_world_build_instance
 from . import yt_world_stock
 from . import yt_world_game
diff --git a/addons/yt_world/models/yt_world_equip_item.py b/addons/yt_world/models/yt_world_equip_item.py
index 889d147..60fae33 100644
--- a/addons/yt_world/models/yt_world_equip_item.py
+++ b/addons/yt_world/models/yt_world_equip_item.py
@@ -22,7 +22,7 @@ class YtWorldEquipItem(models.Model):
     name = fields.Char(string='名称', required=True)
     icon = fields.Char(string='图标', default='⚔️')
     slot = fields.Selection(
-        [('weapon', '武器'), ('armor', '护甲'), ('accessory', '饰品')],
+        [('weapon', '武器'), ('armor', '护甲'), ('accessory', '饰品'), ('boots', '鞋子')],
         string='部位', required=True)
     rarity = fields.Selection(
         [('common', '普通'), ('rare', '稀有'), ('epic', '史诗'), ('legendary', '传说')],
diff --git a/addons/yt_world/models/yt_world_game.py b/addons/yt_world/models/yt_world_game.py
index bee0101..cdc9996 100644
--- a/addons/yt_world/models/yt_world_game.py
+++ b/addons/yt_world/models/yt_world_game.py
@@ -7,6 +7,7 @@
 - yt.world.character : 玩家英雄（等级 / 经验 / 金币 / 背包 / 装备），每世界一条
 - yt.world.creature  : 世界生物（居民 / NPC），含等级 / 经验 / 生命 / 装备 / 职业
 """
+import json
 from odoo import models, fields, api
 
 
@@ -224,18 +225,16 @@ class YtWorldCreature(models.Model):
                          help='idle/working/resting/moving')
     state = fields.Char(string='动作状态', default='idle',
                         help='idle/walk/attack/work/communicate')
-    equip = fields.Json(string='装备', default=dict,
-                       help='{weapon:code, armor:code, accessory:code}')
-    equip_display = fields.Text(string='装备(可读)', compute='_compute_displays')
     tile_ref = fields.Json(string='所在地块', default=dict)
     tile_ref_display = fields.Text(string='所在地块(可读)', compute='_compute_displays')
     partner = fields.Json(string='相关对象', default=dict)
     partner_display = fields.Text(string='相关对象(可读)', compute='_compute_displays')
+    # 该生物拥有的全部装备实例（背包 + 已装备），与 账号→世界→生物 四级树末端直接关联
+    equip_instance_ids = fields.One2many('yt.world.equip.instance', 'owner_creature_id', string='装备实例')
 
-    @api.depends('equip', 'tile_ref', 'partner')
+    @api.depends('tile_ref', 'partner')
     def _compute_displays(self):
         for r in self:
-            r.equip_display = _fmt_kv(r.equip)
             r.tile_ref_display = _fmt_kv(r.tile_ref)
             r.partner_display = _fmt_kv(r.partner)
 
@@ -270,18 +269,48 @@ class YtWorldCreature(models.Model):
                 vals.setdefault('energy', base['energy_max'])
         return super(YtWorldCreature, self).create(vals_list)
 
+    def _equip_bonus(self):
+        """装备提供的临时加成（仅攻击/防御/生命上限；其他数值类型暂不加）。
+
+        汇总当前已装备(equipped_slot 非空)实例的模板 stats，不写回基础字段，
+        因此加成天然"临时"——脱装备即消失，刷新/重载都从实例实时汇总。
+        这里直接查实例表，避免父记录 One2many 缓存未刷新导致加成丢失。"""
+        self.ensure_one()
+        bonus = {'attack': 0, 'defense': 0, 'hp_max': 0}
+        Inst = self.env['yt.world.equip.instance'].sudo()
+        for inst in Inst.search([('owner_creature_id', '=', self.id), ('equipped_slot', '!=', False)]):
+            stats = inst.item_id.stats or {}
+            if not isinstance(stats, dict):
+                try:
+                    stats = json.loads(stats)
+                except Exception:
+                    stats = {}
+            for k in bonus:
+                v = stats.get(k)
+                if isinstance(v, (int, float)):
+                    bonus[k] += int(v)
+        return bonus
+
     def to_panel_dict(self):
         self.ensure_one()
-        equip = self.equip or {}
         catalog = {}
         for it in self.env['yt.world.equip.item'].sudo().search([]):
             catalog[it.code] = it.to_dict()
+        # 从装备实例表反查"当前已装备"的装备（实例 -> 模板对象），
+        # 保持前端 {slot: 对象} 结构不变，前端渲染零改动。
         equip_resolved = {}
-        for slot, raw in (equip or {}).items():
-            # 容错：equip 的值可能是装备 code 字符串，也可能是历史遗留的整件装备字典
-            code = raw.get('code') if isinstance(raw, dict) else raw
-            if code and code in catalog:
-                equip_resolved[slot] = catalog[code]
+        for slot in ('weapon', 'armor', 'accessory', 'boots'):
+            inst = self.env['yt.world.equip.instance'].sudo().search(
+                [('owner_creature_id', '=', self.id), ('equipped_slot', '=', slot)], limit=1)
+            if inst:
+                equip_resolved[slot] = inst.item_id.to_dict()
+        # 装备临时加成：有效属性 = 基础字段 + 已装备实例的 stats 汇总
+        bonus = self._equip_bonus()
+        hp = self.hp or 0
+        hp_max = (self.hp_max or 0) + bonus['hp_max']
+        # 当前生命不超过有效生命上限（如刚脱下 +生命装备导致上限回落）
+        if hp > hp_max:
+            hp = hp_max
         return {
             'oid': self.id,
             'cid': self.cid,
@@ -290,12 +319,12 @@ class YtWorldCreature(models.Model):
             'level': self.level,
             'exp': self.exp,
             'exp_max': self.exp_max,
-            'hp': self.hp,
-            'hp_max': self.hp_max,
+            'hp': hp,
+            'hp_max': hp_max,
             'energy': self.energy,
             'energy_max': self.energy_max,
-            'attack': self.attack,
-            'defense': self.defense,
+            'attack': (self.attack or 0) + bonus['attack'],
+            'defense': (self.defense or 0) + bonus['defense'],
             'speed': self.speed,
             'mood': self.mood,
             'job': self.job,
diff --git a/addons/yt_world/security/ir.model.access.csv b/addons/yt_world/security/ir.model.access.csv
index 16fba14..52d1dee 100644
--- a/addons/yt_world/security/ir.model.access.csv
+++ b/addons/yt_world/security/ir.model.access.csv
@@ -40,6 +40,9 @@ access_yt_world_creature_public,yt.world.creature public,model_yt_world_creature
 access_yt_world_equip_item_user,yt.world.equip.item user,model_yt_world_equip_item,base.group_user,1,1,1,1
 access_yt_world_equip_item_public,yt.world.equip.item public,model_yt_world_equip_item,base.group_public,1,0,0,0
 access_yt_world_equip_item_portal,yt.world.equip.item portal,model_yt_world_equip_item,base.group_portal,1,1,1,1
+access_yt_world_equip_instance_user,yt.world.equip.instance user,model_yt_world_equip_instance,base.group_user,1,1,1,1
+access_yt_world_equip_instance_public,yt.world.equip.instance public,model_yt_world_equip_instance,base.group_public,1,0,0,0
+access_yt_world_equip_instance_portal,yt.world.equip.instance portal,model_yt_world_equip_instance,base.group_portal,1,1,1,1
 access_yt_world_race_user,yt.world.race user,model_yt_world_race,base.group_user,1,1,1,1
 access_yt_world_race_public,yt.world.race public,model_yt_world_race,base.group_public,1,1,1,1
 access_yt_world_race_portal,yt.world.race portal,model_yt_world_race,base.group_portal,1,1,1,1
diff --git a/addons/yt_world/views/yt_world_views.xml b/addons/yt_world/views/yt_world_views.xml
index c21fdf2..e4f98ea 100644
--- a/addons/yt_world/views/yt_world_views.xml
+++ b/addons/yt_world/views/yt_world_views.xml
@@ -364,19 +364,28 @@
             <field name="job"/>
             <field name="state"/>
           </group>
-          <group string="装备 / 所在地块 / 关联">
-            <field name="equip_display" colspan="4" nolabel="1"
-                   widget="textarea" readonly="1" class="o_readonly_text_block"/>
+          <group string="所在地块 / 关联">
             <field name="tile_ref_display" colspan="4" nolabel="1"
                    widget="textarea" readonly="1" class="o_readonly_text_block"/>
             <field name="partner_display" colspan="4" nolabel="1"
                    widget="textarea" readonly="1" class="o_readonly_text_block"/>
           </group>
           <group>
-            <field name="equip" widget="json" colspan="2"/>
             <field name="tile_ref" widget="json" colspan="2"/>
             <field name="partner" widget="json" colspan="2"/>
           </group>
+          <group string="装备实例（与生物关联）">
+            <field name="equip_instance_ids" nolabel="1">
+              <list>
+                <field name="item_id"/>
+                <field name="equipped_slot"/>
+                <field name="durability"/>
+                <field name="max_durability"/>
+                <field name="enhance_level"/>
+                <field name="equipped"/>
+              </list>
+            </field>
+          </group>
         </sheet>
       </form>
     </field>
diff --git a/assets/characters.js b/assets/characters.js
index 7fecdc1..b61ccfb 100644
--- a/assets/characters.js
+++ b/assets/characters.js
@@ -401,7 +401,8 @@ function applyAttackDamage(attacker) {
     if (other.id === attacker.id) continue;
     const d = Math.hypot(other.x - attacker.x, other.y - attacker.y);
     if (d <= range) {
-      let dmg = damage;
+      // 防御减免：实际伤害 = max(0, 攻击力 - 防御力)；攻击 ≤ 防御则免伤（命中但不掉血）
+      let dmg = Math.max(0, damage - (other.defense || 0));
       // 护盾优先吸收（矮人铁壁）
       if ((other.shield || 0) > 0 && dmg > 0) {
         const absorbed = Math.min(other.shield, dmg);
@@ -412,13 +413,16 @@ function applyAttackDamage(attacker) {
           other.dmgPopups.push({ value: fmt(absorbed), t: 0, shield: true });   // 青色护盾吸收
         }
       }
-      // 剩余伤害扣血
+      // 剩余伤害扣血（钳制在 [0, 有效生命上限] 内，防止脱装备后上限回落导致越界）
+      if (!other.dmgPopups) other.dmgPopups = [];
       if (dmg > 0) {
-        other.hp = Math.max(0, (typeof other.hp === 'number' ? other.hp : (other.hpMax || CHAR_HP_MAX)) - dmg);
+        other.hp = Math.min(other.hpMax, Math.max(0, (typeof other.hp === 'number' ? other.hp : (other.hpMax || CHAR_HP_MAX)) - dmg));
         other.hurtFlash = 0.4;          // 受伤闪白
         other.lastHurt = now;           // 记录受伤时间（脱战恢复计时用）
-        if (!other.dmgPopups) other.dmgPopups = [];
         other.dmgPopups.push({ value: fmt(dmg), t: 0 });   // 红色扣血
+      } else {
+        // 0 伤害也要显示：命中但被防御/护盾完全减免（免伤）
+        other.dmgPopups.push({ value: '0', t: 0, blocked: true });   // 灰色免伤飘字
       }
       // 矮人铁壁：血量首次 ≤30% 时获得 10% 最大生命的护盾
       if (other.enrage && !other.enrageTriggered && other.hp > 0 && other.hp <= other.hpMax * 0.3) {
@@ -820,8 +824,8 @@ function renderChars(ctx, time, mW, mH) {
         const life = 1 - p.t / 0.9;
         if (life <= 0) continue;
         ctx.globalAlpha = Math.min(1, life);
-        ctx.fillStyle = p.shield ? '#37c7f0' : '#ff5040';
-        ctx.fillText('-' + p.value, ch.x, ch.y - 46 - p.t * 26);
+        ctx.fillStyle = p.shield ? '#37c7f0' : p.blocked ? '#9aa3b2' : '#ff5040';
+        ctx.fillText(p.blocked ? '0' : '-' + p.value, ch.x, ch.y - 46 - p.t * 26);
       }
       ctx.restore();
     }
@@ -927,6 +931,7 @@ function updateCharPanel() {
     ${shieldHtml}
     <div style="margin-top:6px;color:#8a9aaa;font-size:11px;">👟 移速 <b style="color:#e8eef7;">${stats.speed}</b></div>
     <div style="margin-top:5px;color:#8a9aaa;font-size:11px;">⚔ 攻击 <b style="color:#e8eef7;">${fmt(curAtk)}</b>${atkBonus}</div>
+    <div style="margin-top:5px;color:#8a9aaa;font-size:11px;">🛡 防御 <b style="color:#e8eef7;">${fmt(ch.defense)}</b></div>
     <div style="margin-top:8px;padding:6px 8px;background:#16213a;border-radius:5px;color:#9fb2cc;font-size:11px;line-height:1.5;">📖 ${rc.trait || '暂无介绍'}</div>
     <div style="margin-top:8px;display:flex;gap:8px;flex-wrap:wrap;">${btns}</div>
     <div style="margin-top:8px;">
diff --git a/assets/icons/equips/icons_b64.js b/assets/icons/equips/icons_b64.js
new file mode 100644
index 0000000..a998ca3
--- /dev/null
+++ b/assets/icons/equips/icons_b64.js
@@ -0,0 +1,2 @@
+// 装备图标 base64 内联（服务端 pre-receive 钩子拦截 .png，改用 data URI 规避）
+window.EQUIP_ICONS_B64 = {"iron_dagger": "data:image/png;base64,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", "leather_vest": 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", 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", "steel_sword": 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"};
diff --git a/codex.html b/codex.html
index a6404ae..584ba49 100644
--- a/codex.html
+++ b/codex.html
@@ -153,6 +153,11 @@ body::before{
 .card.race .tags{display:flex;gap:4px;flex-wrap:wrap;justify-content:center;margin-top:2px;}
 .card.race .tag{font-size:9px;padding:1px 6px;border-radius:4px;background:rgba(255,255,255,.06);color:#8899aa;}
 
+/* 装备/天赋/技能书等通用标签 */
+.card.equip .tags,.card.talent .tags,.card.skill_book .tags{display:flex;gap:4px;flex-wrap:wrap;justify-content:center;margin-top:2px;}
+.card.equip .tag,.card.talent .tag,.card.skill_book .tag{font-size:9px;padding:1px 6px;border-radius:4px;background:rgba(255,255,255,.06);color:#8899aa;}
+.card.equip{border-color:rgba(120,200,255,.12);}
+
 /* 野怪等级角标 */
 .card .tierbadge{position:absolute;top:8px;right:8px;font-size:9px;font-weight:700;padding:1px 6px;border-radius:6px;letter-spacing:.5px;}
 .tierbadge.normal{background:rgba(156,163,175,.2);color:#9ca3af;border:1px solid rgba(156,163,175,.3);}
@@ -278,6 +283,7 @@ body::before{
     <span class="rule-tab" data-cat="talent" onclick="setCat('talent')">🌟 天赋</span>
     <span class="rule-tab" data-cat="skill_book" onclick="setCat('skill_book')">📖 技能书</span>
     <span class="rule-tab" data-cat="book" onclick="setCat('book')">📚 书籍</span>
+    <span class="rule-tab" data-cat="equip" onclick="setCat('equip')">🛡️ 装备</span>
     <span class="rule-tab" data-cat="special" onclick="setCat('special')">✨ 特殊</span>
   </div>
   <div class="filterRow">
@@ -333,7 +339,8 @@ body::before{
 const QUALITIES = ['common','uncommon','rare','epic','legendary','mythic'];
 const QUALITY_NAMES = { common:'普通', uncommon:'优秀', rare:'精良', epic:'史诗', legendary:'传说', mythic:'神话' };
 const TIER_NAMES = { normal:'普通野怪', elite:'精英野怪', boss:'Boss' };
-const CAT_ORDER = ['material','processed','creature','monster','race','talent','skill_book','book','special'];
+const CAT_ORDER = ['material','processed','creature','monster','race','talent','skill_book','book','equip','special'];
+const SLOT_NAMES = { weapon:'武器', armor:'护甲', accessory:'饰品', boots:'鞋子' };
 
 // 当前玩家已拥有天赋（从后端加载）{ code: { level, active } }
 let MY_TALENTS = {};
@@ -413,6 +420,13 @@ function normBook(b){
     desc:b.description||b.desc||''
   };
 }
+function normEquip(e){
+  return {
+    type:'equip', id:e.code, cat:'equip', name:e.name, icon:e.icon||'⚔️',
+    qual:e.rarity||'common', slot:e.slot||'weapon', slotName:SLOT_NAMES[e.slot]||'装备',
+    stats:e.stats||{}, bonus:e.bonus||'', desc:e.description||e.desc||''
+  };
+}
 
 let ALL_ENTRIES = [];          // 归一化后的全部条目（来自后端）
 let currentCat = 'all';
@@ -487,8 +501,8 @@ async function loadCodexData(){
   const grid = document.getElementById('grid');
   grid.innerHTML = '<div class="empty show">正在从服务器加载图鉴数据…</div>';
   try{
-    const [res, cre, mon, rac, talents] = await Promise.all([
-      API.codexResources(), API.codexCreatures(), API.codexMonsters(), API.codexRaces(), API.codexTalents()
+    const [res, cre, mon, rac, talents, equips] = await Promise.all([
+      API.codexResources(), API.codexCreatures(), API.codexMonsters(), API.codexRaces(), API.codexTalents(), API.equipCatalog()
     ]);
     // 同时尝试拉取当前角色天赋状态；未登录或无角色时忽略。
     MY_TALENTS = {};
@@ -508,6 +522,7 @@ async function loadCodexData(){
       ...(talents||[]).map(normTalent),
       ...SKILL_BOOK_DATA.map(normSkillBook),
       ...BOOK_DATA.map(normBook),
+      ...((equips && equips.ok && Array.isArray(equips.items) ? equips.items : equips) || []).map(normEquip),
     ];
     renderGrid();
   }catch(err){
@@ -525,11 +540,12 @@ function renderGrid(){
       const hay = [e.name, e.desc, e.effect||'', e.trigger||'', e.skillType||'',
                    e.bookType||'', e.author||'', e.cost||'',
                    (e.products||[]).join(' '), (e.drops||[]).join(' '),
-                   (e.traits||[]).join(' '), e.hab||'', e.layer||''].join(' ');
+                   (e.traits||[]).join(' '), e.hab||'', e.layer||'',
+                   e.slotName||'', e.bonus||''].join(' ');
       if(!hay.toLowerCase().includes(q)) return false;
     }
     if(currentQual!=='all'){
-      if(e.type!=='resource' && e.type!=='talent' && e.type!=='skill_book') return false;
+      if(e.type!=='resource' && e.type!=='talent' && e.type!=='skill_book' && e.type!=='equip') return false;
       if(e.qual!==currentQual) return false;
     }
     return true;
@@ -611,6 +627,17 @@ function renderGrid(){
             <span class="tag">Lv ${e.learnLevel||1}</span>
           </div>
         `;
+      } else if(e.type==='equip'){
+        div.classList.add('q-'+e.qual, 'equip');
+        div.innerHTML = `
+          <span class="qbadge ${e.qual}">${QUALITY_NAMES[e.qual]}</span>
+          <div class="icon">${iconHTML(e.icon)}</div>
+          <div class="name">${e.name}</div>
+          <div class="tags">
+            <span class="tag">${e.slotName||'装备'}</span>
+            <span class="tag">${e.bonus||''}</span>
+          </div>
+        `;
       } else if(e.type==='book'){
         div.classList.add('book');
         div.innerHTML = `
@@ -662,11 +689,11 @@ function showDetail(e){
   html += `<div class="md-header">`;
   html += `<div class="md-icon">${iconHTML(e.icon)}</div>`;
   html += `<div class="md-info"><div class="md-title">${e.name}</div><div class="md-meta">`;
-  if(e.type==='resource' || e.type==='talent' || e.type==='skill_book'){
+  if(e.type==='resource' || e.type==='talent' || e.type==='skill_book' || e.type==='equip'){
     const c = e.qual==='common'?'156,163,175':e.qual==='uncommon'?'34,197,94':e.qual==='rare'?'59,130,246':e.qual==='epic'?'168,85,247':e.qual==='legendary'?'245,158,11':'220,38,38';
     const t = e.qual==='common'?'#9ca3af':e.qual==='uncommon'?'#4ade80':e.qual==='rare'?'#60a5fa':e.qual==='epic'?'#c084fc':e.qual==='legendary'?'#fbbf24':'#f87171';
     html += `<span class="mt" style="background:rgba(${c},.15);color:${t}">${QUALITY_NAMES[e.qual]}</span>`;
-    const catLabel = e.type==='talent'?'🌟 天赋':e.type==='skill_book'?'📖 技能书':e.cat==='material'?'材料':e.cat==='processed'?'加工品':'特殊';
+    const catLabel = e.type==='talent'?'🌟 天赋':e.type==='skill_book'?'📖 技能书':e.type==='equip'?'🛡️ 装备':e.cat==='material'?'材料':e.cat==='processed'?'加工品':'特殊';
     html += `<span class="mt">${catLabel}</span>`;
   } else if(e.type==='creature'){
     html += `<span class="mt">🐾 生物</span><span class="mt">${e.hab||''}</span><span class="mt">${e.diet||''}</span><span class="mt">${e.tame?'✅ 可驯养':'❌ 野性'}</span>`;
@@ -680,8 +707,8 @@ function showDetail(e){
   }
   html += `</div></div></div>`;
 
-  // 品质等级条（资源 / 天赋 / 技能书）
-  if(e.type==='resource' || e.type==='talent' || e.type==='skill_book'){
+  // 品质等级条（资源 / 天赋 / 技能书 / 装备）
+  if(e.type==='resource' || e.type==='talent' || e.type==='skill_book' || e.type==='equip'){
     html += `<div class="qualityBar">`;
     QUALITIES.forEach((q,i)=>{ html += `<div class="qlv ${i<=qi?'on':''}" title="${QUALITY_NAMES[q]}"></div>`; });
     html += `</div>`;
@@ -779,6 +806,20 @@ function showDetail(e){
     }
   }
 
+  // 装备详情
+  if(e.type==='equip'){
+    html += `<div class="md-section"><h3>📋 属性</h3><div class="md-grid">`;
+    html += `<div class="gi"><span class="gl">部位</span><span class="gv">${e.slotName||'—'}</span></div>`;
+    html += `<div class="gi"><span class="gl">品质</span><span class="gv">${QUALITY_NAMES[e.qual]||'—'}</span></div>`;
+    if(e.bonus){
+      html += `<div class="gi" style="grid-column:1/-1;"><span class="gl">加成</span><span class="gv">${e.bonus}</span></div>`;
+    }
+    html += `</div></div>`;
+    if(e.desc){
+      html += `<div class="md-section"><h3>📖 描述</h3><div class="md-desc">${e.desc}</div></div>`;
+    }
+  }
+
   // 书籍详情
   if(e.type==='book'){
     html += `<div class="md-section"><h3>📋 属性</h3><div class="md-grid">`;
diff --git a/world.html b/world.html
index 48d7ba6..18dfd79 100644
--- a/world.html
+++ b/world.html
@@ -942,6 +942,7 @@ body { background: #0a0e17; overflow: hidden; font-family: 'Microsoft YaHei', sa
   border: 1px solid rgba(139,92,246,.35); border-radius: 14px;
   box-shadow: 0 14px 44px rgba(0,0,0,.55), 0 0 0 1px rgba(139,92,246,.12), inset 0 1px 0 rgba(255,255,255,.06);
   padding: 16px 18px; max-width: 480px; width: 94%; pointer-events: auto;
+  max-height: 90vh; overflow-y: auto;
 }
 /* 头部：标题 + 右上角关闭（MMO 风格） */
 #unitModal .umHead { display:flex; align-items:center; justify-content:space-between; margin-bottom:12px;
@@ -953,7 +954,7 @@ body { background: #0a0e17; overflow: hidden; font-family: 'Microsoft YaHei', sa
 #unitModal .umClose:hover { background:rgba(255,80,80,.28); color:#fff; }
 /* 主体两栏：左侧立绘+环绕装备槽，右侧数值 */
 #unitModal .umGrid { display:grid; grid-template-columns: 200px 1fr; gap:14px; }
-#unitModal .umLeft { position:relative; border-radius:12px; padding:14px 10px 10px;
+#unitModal .umLeft { position:relative; border-radius:12px; padding:14px 10px 90px;
   display:flex; flex-direction:column; align-items:center;
   background: radial-gradient(ellipse at 50% 26%, rgba(139,92,246,.14), rgba(255,255,255,.03) 62%);
   border: 1px solid rgba(139,92,246,.28);
@@ -964,16 +965,35 @@ body { background: #0a0e17; overflow: hidden; font-family: 'Microsoft YaHei', sa
 #unitModal .umPortraitFallback { font-size:72px; line-height:180px; text-align:center; }
 #unitModal .umEq { position:absolute; width:46px; height:46px; border-radius:9px;
   background:rgba(8,14,26,.78); border:1px solid rgba(120,200,255,.3);
-  display:flex; flex-direction:column; align-items:center; justify-content:center;
+  display:flex; align-items:center; justify-content:center;
   cursor:pointer; z-index:2; transition:border-color .15s, background .15s, box-shadow .15s; }
 #unitModal .umEq:hover { border-color:rgba(139,92,246,.75); background:rgba(139,92,246,.2); box-shadow:0 0 10px rgba(139,92,246,.35); }
-#unitModal .umEq .umEqIcon { font-size:19px; line-height:1; }
-#unitModal .umEq .umEqName { font-size:9px; color:#8899aa; margin-top:2px; max-width:44px;
-  overflow:hidden; text-overflow:ellipsis; white-space:nowrap; }
+#unitModal .umEq .umEqIcon { font-size:19px; line-height:1; display:flex; align-items:center; justify-content:center; }
+#unitModal .umEq .umEqIcon img { width:28px; height:28px; object-fit:contain; filter:drop-shadow(0 1px 1px rgba(0,0,0,.5)); }
+/* 装备名称统一放在框正下方 */
+#unitModal .umEq .umEqName {
+  position:absolute; top:100%; left:50%; transform:translateX(-50%);
+  margin-top:3px; font-size:9px; color:#a8b8cc; white-space:nowrap;
+  text-shadow:0 1px 2px rgba(0,0,0,.7); pointer-events:none;
+}
 #unitModal .umEq.accessory { top:-10px; left:50%; transform:translateX(-50%); }
 #unitModal .umEq.weapon { left:-12px; top:50%; transform:translateY(-50%); }
 #unitModal .umEq.armor { right:-12px; top:50%; transform:translateY(-50%); }
-#unitModal .umEquipPicker { margin-top:10px; width:100%; }
+#unitModal .umEq.boots { bottom:-24px; left:50%; transform:translateX(-50%); }
+#unitModal .umEquipPicker {
+  margin-top:92px; width:100%;
+  max-height: 220px;
+  overflow-y: auto;
+  background: rgba(8,14,26,0.96);
+  border: 1px solid rgba(139,92,246,0.32);
+  border-radius: 10px;
+  padding: 7px 5px 7px 7px;
+  box-shadow: 0 8px 24px rgba(0,0,0,0.35);
+}
+/* 未展开时隐藏空容器，避免在鞋子槽下方留下黑色长条 */
+#unitModal .umEquipPicker[data-slot=""] { display:none; }
+#unitModal .umEquipPicker::-webkit-scrollbar { width: 4px; }
+#unitModal .umEquipPicker::-webkit-scrollbar-thumb { background: rgba(139,92,246,0.45); border-radius: 3px; }
 #unitModal .umRight { min-width:0; }
 #unitModal .umStatGrid { display:grid; grid-template-columns:1fr 1fr; gap:2px 14px; margin-bottom:8px; }
 #unitModal .umStatGrid .statBar { display:none; }
@@ -993,10 +1013,34 @@ body { background: #0a0e17; overflow: hidden; font-family: 'Microsoft YaHei', sa
 #unitModal .cmdGrid { display: grid; grid-template-columns: 1fr 1fr; gap: 8px; }
 #unitModal .cmdGrid .cmdBtn { margin-top: 0; }
 /* 装备候选列表（立绘旁装备槽点击后展开） */
-#unitModal .equipSlotName { font-size: 11px; color: #8899aa; margin-bottom: 5px; }
-#unitModal .equipOpt { font-size: 12px; color: #cfe; padding: 5px 6px; margin-top: 4px; background: rgba(100,200,255,0.1); border-radius: 6px; cursor: pointer; }
-#unitModal .equipOpt:hover { background: rgba(100,200,255,0.22); }
-#unitModal .equipBonus { color: #8bc34a; font-size: 10px; margin-left: 3px; }
+#unitModal .equipSlotName {
+  font-size: 11px; color: #a8b8cc;
+  margin-bottom: 6px;
+  display: flex; align-items: center; justify-content: space-between;
+}
+#unitModal .equipSlotName .equipClose {
+  font-size: 15px; line-height: 1; color: #8899aa; cursor: pointer;
+  padding: 0 3px; border-radius: 3px; transition: color .15s, background .15s;
+}
+#unitModal .equipSlotName .equipClose:hover { color: #fff; background: rgba(255,80,80,0.25); }
+#unitModal .equipOpt {
+  display: flex; align-items: center; gap: 7px;
+  font-size: 12px; color: #cfe;
+  padding: 5px 6px; margin-top: 3px;
+  background: rgba(100,200,255,0.08); border-radius: 6px; cursor: pointer;
+  line-height: 1.2;
+}
+#unitModal .equipOpt:hover { background: rgba(100,200,255,0.2); }
+#unitModal .equipOpt.unequip { color: #ff9a9a; background: rgba(255,80,80,.1); }
+#unitModal .equipOpt.unequip:hover { background: rgba(255,80,80,.2); }
+#unitModal .equipOpt .umEqIcon {
+  font-size: 16px; display: flex; align-items: center; justify-content: center;
+  flex-shrink: 0; width: 22px; height: 22px;
+}
+#unitModal .equipOpt .umEqIcon img { width: 22px; height: 22px; object-fit: contain; filter: drop-shadow(0 1px 1px rgba(0,0,0,.5)); }
+#unitModal .equipOpt .equipMeta { display: flex; flex-direction: column; min-width: 0; }
+#unitModal .equipOpt .equipName { font-size: 12px; color: #cfe; white-space: nowrap; overflow: hidden; text-overflow: ellipsis; }
+#unitModal .equipOpt .equipBonus { color: #8bc34a; font-size: 10px; margin-left: 0; }
 
 /* 微观建筑悬停提示 tooltip */
 #microTip {
@@ -2597,6 +2641,11 @@ const EQUIP_CATALOG_FALLBACK = {
     { code: 'power_ring',  name: '力量戒指', icon: '💍', bonus: '攻+4 防+2' },
     { code: 'amulet_life', name: '生命护符', icon: '📿', bonus: '血+25 能+15' },
   ],
+  boots: [
+    { code: 'straw_sandals', name: '草鞋', icon: '🩴', bonus: '速+1' },
+    { code: 'leather_boots', name: '皮靴', icon: '🥾', bonus: '速+3 防+1' },
+    { code: 'wind_boots',    name: '疾风靴', icon: '👟', bonus: '速+6 能+10' },
+  ],
 };
 let EQUIP_CATALOG_SERVER = null;
 
@@ -2652,7 +2701,7 @@ async function microLoadEquipCatalog() {
   try {
     const r = await API.equipCatalog();
     if (r && r.ok && Array.isArray(r.items)) {
-      const bySlot = { weapon: [], armor: [], accessory: [] };
+      const bySlot = { weapon: [], armor: [], accessory: [], boots: [] };
       r.items.forEach(it => {
         if (!bySlot[it.slot]) bySlot[it.slot] = [];
         bySlot[it.slot].push(it);
@@ -2672,7 +2721,7 @@ async function microLoadGame() {
     const [c, cr] = await Promise.all([API.char(), API.creatures(), microLoadEquipCatalog()]);
     microChar = (c && c.ok !== false) ? c : (c || null);
     if (microChar) {
-      if (!microChar.equip) microChar.equip = { weapon: null, armor: null, accessory: null };
+      if (!microChar.equip) microChar.equip = { weapon: null, armor: null, accessory: null, boots: null };
       if (!microChar.inventory) microChar.inventory = {};
       ['gold','copper','silver','diamond'].forEach(k => { if (microChar[k] == null) microChar[k] = 0; });
     }
@@ -2711,7 +2760,7 @@ function microMakeUnitFromCreature(x) {
     energy: (x.energy != null) ? x.energy : 80, energy_max: x.energy_max || 100,
     attack: x.attack || 5, defense: x.defense || 3, speed: x.speed || 90,
     mood: x.mood || '😊', job: x.job || 'none',
-    equip: x.equip || { weapon: null, armor: null, accessory: null },
+    equip: x.equip || { weapon: null, armor: null, accessory: null, boots: null },
     status: x.state || x.status || 'resting', _buildingRender: true
   };
 }
@@ -2785,8 +2834,8 @@ function microEnsureCharPlaced(unit) {
 
 // equip 的值可能是装备对象（后端 to_panel_dict 解析后的结果），回存时统一压缩为 code
 function _normalizeEquip(eq) {
-  const out = { weapon: null, armor: null, accessory: null };
-  ['weapon', 'armor', 'accessory'].forEach(s => {
+  const out = { weapon: null, armor: null, accessory: null, boots: null };
+  ['weapon', 'armor', 'accessory', 'boots'].forEach(s => {
     const v = eq && eq[s];
     out[s] = (v && typeof v === 'object') ? (v.code || null) : (v || null);
   });
@@ -2805,12 +2854,15 @@ async function microSaveCreatures() {
   const list = microState.units
     .filter(u => u._buildingRender)
     .map(u => ({
-    cid: u.id, name: u.name, species: u.role || 'none',
-    level: u.level, exp: u.exp, hp: u.hp, hp_max: u.hp_max || 120,
-    energy: u.energy, mood: u.mood, job: u.job || 'none',
-    equip: _normalizeEquip(u.equip),
+    cid: u.id, name: u.name, race: u.role || u.species || 'human',
+    level: u.level, exp: u.exp, exp_max: u.exp_max || 100,
+    hp: u.hp, hp_max: u.hp_max || 120,
+    energy: u.energy, energy_max: u.energy_max || 100,
+    attack: u.attack, defense: u.defense, speed: u.speed,
+    mood: u.mood, job: u.job || 'none',
     tile_ref: microState.tile ? { q: microState.tile.q, r: microState.tile.r } : {},
-    state: u.status || 'resting',
+    status: u.status || 'idle',
+    state: u.state || u.status || 'idle',
   }));
   const res = await API.saveCreatures(list);
   if (res && res.ok && Array.isArray(res.creatures)) {
@@ -5563,9 +5615,31 @@ function microSyncCharLocal(char) {
   const idx = microState.units.findIndex(u => u.id === key || u.cid === key);
   const icon = char.icon || _raceIconFallback(char.race);
   const synced = { ...char, icon, cid: key };
-  if (idx >= 0) { Object.assign(microState.units[idx], synced); return microState.units[idx]; }
-  microState.units.push(synced);
-  return synced;
+  if (idx >= 0) { Object.assign(microState.units[idx], synced); }
+  else { microState.units.push(synced); }
+
+  // 同步 characters.js 的 microChars：装备/训练后后端返回的是有效属性，
+  // 必须让 microChars 也持有最新值，否则 characters.js 的自动保存会把旧值
+  //（不含新装备加成）当基础值回写，导致再次打开面板时加成"消失"。
+  if (typeof window !== 'undefined' && window.microChars) {
+    const cidx = window.microChars.findIndex(c => c.id === key || c.cid === key);
+    if (cidx >= 0) {
+      const ch = window.microChars[cidx];
+      if (typeof char.attack === 'number') ch.attack = char.attack;
+      if (typeof char.defense === 'number') ch.defense = char.defense;
+      if (typeof char.speed === 'number') ch.speed = char.speed;
+      if (typeof char.hp === 'number') ch.hp = char.hp;
+      if (typeof char.hp_max === 'number') ch.hpMax = char.hp_max;
+      if (typeof char.energy === 'number') ch.energy = char.energy;
+      if (typeof char.energy_max === 'number') ch.energy_max = char.energy_max;
+      if (typeof char.level === 'number') ch.level = char.level;
+      if (typeof char.exp === 'number') ch.exp = char.exp;
+      if (typeof char.exp_max === 'number') ch.exp_max = char.exp_max;
+      if (char.equip) ch.equip = char.equip;
+    }
+  }
+
+  return idx >= 0 ? microState.units[idx] : synced;
 }
 function _localCharFromMicroChars(unitId) {
   // 兼容 characters.js 精灵图角色：从 microChars 取本地运行时数据转成本地面板对象
@@ -5648,7 +5722,7 @@ async function showUnitModal(unitId) {
   const eqCell = (slot, label) => {
     const cur = unit.equip && unit.equip[slot];
     return `<div class="umEq ${slot}" onclick="umTogglePicker('${slot}')" title="${label}${cur ? '：' + cur.name : '（空，点击穿戴）'}">
-      <div class="umEqIcon">${cur ? (cur.icon || '⚔️') : '➕'}</div>
+      <div class="umEqIcon">${cur ? eqIconHTML(cur.icon) : '➕'}</div>
       <div class="umEqName">${cur ? cur.name : label}</div>
     </div>`;
   };
@@ -5663,6 +5737,7 @@ async function showUnitModal(unitId) {
           ${eqCell('weapon','武器')}
           <div class="umPortrait">${portrait}</div>
           ${eqCell('armor','护甲')}
+          ${eqCell('boots','鞋子')}
         </div>
         <div id="umPicker" class="umEquipPicker" data-slot=""></div>
       </div>
@@ -5719,6 +5794,18 @@ function _drawRacePortrait(src, cv) {
   img.src = src;
 }
 
+// 装备图标渲染：图片路径→<img>，否则 emoji
+function eqIconHTML(ic){
+  if(!ic) return '➕';
+  if (typeof ic === 'string' && window.EQUIP_ICONS_B64 && EQUIP_ICONS_B64[ic]) {
+    return `<img src="${EQUIP_ICONS_B64[ic]}" alt="">`;
+  }
+  if(/^(assets\/|\/|https?:\/\/)/i.test(ic) || /\.(png|webp|jpe?g|gif|svg)(\?.*)?$/i.test(ic)){
+    return `<img src="${ic}" alt="">`;
+  }
+  return ic || '⚔️';
+}
+
 // 点击立绘旁装备槽：展开/收起该槽的候选装备列表（穿戴写 Odoo，与原 equipWrap 同源）
 window.umTogglePicker = function(slot){
   const box = document.getElementById('umPicker');
@@ -5726,17 +5813,17 @@ window.umTogglePicker = function(slot){
   if (!box || !unit) return;
   if (box.dataset.slot === slot) { box.innerHTML = ''; box.dataset.slot = ''; return; }
   box.dataset.slot = slot;
-  const map = { weapon: '武器', armor: '护甲', accessory: '饰品' };
+  const map = { weapon: '武器', armor: '护甲', accessory: '饰品', boots: '鞋子' };
   const cur = unit.equip && unit.equip[slot];
   const cid = unit.cid || unit.id;
-  let html = `<div class="equipSlotName">${map[slot]} · 点击穿戴</div>`;
+  let html = `<div class="equipSlotName"><span>${map[slot]} · 点击穿戴</span><span class="equipClose" onclick="umTogglePicker('${slot}');event.stopPropagation();">×</span></div>`;
   if (unit._localOnly) {
     html += `<div style="color:#888;font-size:12px;padding:4px 0;">等待服务器同步…</div>`;
   } else {
-    if (cur) html += `<div class="equipOpt" onclick="microEquip('${cid}','${slot}',null,true)" style="color:#ff9a9a;background:rgba(255,80,80,.12);">✕ 卸下 ${cur.name}</div>`;
+    if (cur) html += `<div class="equipOpt unequip" onclick="microEquip('${cid}','${slot}',null,true)"><span class="umEqIcon">✕</span><span class="equipMeta"><span class="equipName">卸下 ${cur.name}</span></span></div>`;
     const catalog = microEquipCatalog();
     (catalog[slot] || []).forEach(e => {
-      html += `<div class="equipOpt" onclick="microEquip('${cid}','${slot}','${e.code}',false)">${e.icon || '⚔️'} ${e.name}<span class="equipBonus">${e.bonus || ''}</span></div>`;
+      html += `<div class="equipOpt" onclick="microEquip('${cid}','${slot}','${e.code}',false)"><span class="umEqIcon">${eqIconHTML(e.icon)}</span><span class="equipMeta"><span class="equipName">${e.name}</span><span class="equipBonus">${e.bonus || ''}</span></span></div>`;
     });
   }
   box.innerHTML = html;
@@ -5790,7 +5877,7 @@ async function updateChar() {
   });
   if (r && r.ok && r.char) {
     microChar = r.char;
-    if (!microChar.equip) microChar.equip = { weapon: null, armor: null, accessory: null };
+    if (!microChar.equip) microChar.equip = { weapon: null, armor: null, accessory: null, boots: null };
     if (!microChar.inventory) microChar.inventory = {};
     ['gold','copper','silver','diamond'].forEach(k => { if (microChar[k] == null) microChar[k] = 0; });
   }
@@ -8101,6 +8188,7 @@ if (typeof fitWorld === 'function') fitWorld();
 </script>
   <script src="assets/game-api.js?v=20260825"></script>
   <script src="assets/common.js?v=20260825"></script>
+  <script src="assets/icons/equips/icons_b64.js"></script>
 
 <!-- ===== 我的天赋面板（顶栏 🌟 按钮触发，展示玩家已拥有的天赋） ===== -->
 <div id="talentPanel" hidden>