stocktake

stocktake is a command for coding agents from xiaobei930/cc-best. It costs 15 tokens per session (1,329 once invoked), scanned A, original, MIT.

A command for auditing a collection of reusable agent components, such as skills, rules, and commands. It reviews their structure, freshness, usage, and overlap, then suggests whether to keep or maintain them.

In plain words
What is it for?
Use it to scan all components or only rules, skills, or commands, and produce Keep, Improve, Update, Retire, or Merge recommendations with reasons.
Why use it?
It helps reveal components that are outdated, duplicated, incomplete, or rarely used before the collection becomes difficult to maintain.

Command

Part of the cc-best plugin — 19 skills, 44 commands, 8 agents, 20 hooks shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add commands/xiaobei930/cc-best/stocktake
Clone the repo
git clone --depth 1 https://github.com/xiaobei930/cc-best

Or install cc-best, the plugin that ships this one along with the rest of its 19 skills, 44 commands, 8 agents, 20 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for stocktake

README.md
[![agentmods](https://agentmods.dev/badge/commands/xiaobei930/cc-best/stocktake.svg)](https://agentmods.dev/commands/xiaobei930/cc-best/stocktake)
Your own site
<a href="https://agentmods.dev/commands/xiaobei930/cc-best/stocktake"><img src="https://agentmods.dev/badge/commands/xiaobei930/cc-best/stocktake.svg" alt="Measured on agentmods" height="20"></a>
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,329 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00015 $0.01329
Opus 5 $0.00008 $0.00665
Sonnet 5 $0.00003 $0.00266
Haiku 4.5 $0.00002 $0.00133

Measured 5d ago against content hash 3c34538fe8e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

stocktake scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

commands/stocktake.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/stocktake - 组件库审计

定期审计插件组件的健康度,给出 Keep/Improve/Update/Retire/Merge 建议。

用法

/cc-best:stocktake                     # 快速扫描(仅检查自上次审计以来的变化)
/cc-best:stocktake --full              # 全量审计
/cc-best:stocktake --scope rules       # 仅审计 rules
/cc-best:stocktake --scope skills      # 仅审计 skills
/cc-best:stocktake --scope commands    # 仅审计 commands

角色定位

  • 身份: 组件健康度审计员
  • 目标: 识别需要维护、合并或淘汰的组件
  • 原则: 基于客观指标评判,Retire/Merge 操作需用户确认

审计流程

Phase 1: 库存扫描
   ├─ 枚举目标目录下所有 .md 文件
   ├─ 提取 frontmatter 信息
   ├─ 收集最后修改时间(git log)
   └─ 统计文件行数

Phase 2: 质量评估(每个组件)
   ├─ 内容质量: 结构完整性、是否有代码示例
   ├─ 时效性: 引用的工具/库是否过时
   ├─ 使用频度: 基于 observations.jsonl 统计(如存在)
   └─ 重叠度: 与其他组件的内容相似度

Phase 3: Verdict 判定
   ├─ 综合 Phase 2 各维度
   ├─ 输出 Keep/Improve/Update/Retire/Merge
   └─ 每个 verdict 附带理由

Phase 4: 输出报告
   ├─ 表格汇总
   ├─ 具体建议
   └─ Retire/Merge 操作需用户确认

Verdict 判定标准

Verdict 条件 要求
Keep 有用且最新 -
Improve 值得保留但需改进 指出具体章节和改进方向
Update 引用技术过时 指出过时内容
Retire 低价值/过时/已被替代 说明替代方案
Merge 与另一组件重叠 指定合并目标

质量评估维度

内容质量(1-5 分)

分数 条件
5 结构完整 + 代码示例 + 与其他命令联动
4 结构完整 + 代码示例
3 结构完整但缺少示例
2 结构不完整(缺少关键章节)
1 内容过少(<50 行)或格式混乱

时效性(1-5 分)

分数 条件
5 30 天内更新
4 90 天内更新
3 180 天内更新
2 超过 180 天未更新
1 超过 1 年未更新或引用过时

输出规范

简洁输出(默认/--quick)

══════════════════════════════════════════════════
     STOCKTAKE REPORT
══════════════════════════════════════════════════

📊 扫描范围: [skills|rules|commands|all]
📅 审计日期: YYYY-MM-DD

| 组件                | Verdict | 分数  | 说明          |
| ------------------- | ------- | ----- | ------------- |
| skills/search-first | Keep    | 4.5/5 | -             |
| skills/compact      | Improve | 3.5/5 | 缺少代码示例  |
| rules/common/xxx    | Update  | 2.0/5 | 引用版本过时  |

══════════════════════════════════════════════════
  Keep: N | Improve: M | Update: K | Retire: R | Merge: S
══════════════════════════════════════════════════

Read the full file on GitHub · 144 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 144 lines · 15 tokens per session scan A 3c34538fe8e8

Subscribe to this mod's changes

stocktake is a command published in the GitHub repository xiaobei930/cc-best (50 stars, last pushed 2mo ago), licensed MIT. It adds 15 tokens to every session and 1,329 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.