checklist

A command that prints checklists for reviewing work before editing, after editing, during verification, and when synchronizing changes across a codebase. It can print all checklists or one selected checklist.

In plain words
What is it for?
Use it to check file reading, impact analysis, root-cause fixes, related tests and documentation, task fidelity, systematic changes, plain-language summaries, and whole-project synchronization.
Why use it?
It turns broad engineering discipline into individual questions with evidence, helping catch missed dependencies, unsupported assumptions, incomplete work, and unverified changes.

Command

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/skymanbp/cc-enforcer/checklist
Clone the repo
git clone --depth 1 https://github.com/skymanbp/cc-enforcer
Per session 54 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,750 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00054 $0.05750
Opus 5 $0.00027 $0.02875
Sonnet 5 $0.00011 $0.01150
Haiku 4.5 $0.00005 $0.00575

Measured 2d ago against content hash 77392b76eeda, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

checklist scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

C1 · 重触发原症状 ✅ $ curl -X POST /login concurrent x100 → 0 errors (修前 23 errors)
commands/checklist.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/cc-enforcer:checklist

强制纪律检查。无参数则同时输出 A "改前"、B "改后"、C "收敛验证"、D "任务忠实"、E "改前必读·写前必想"、F "系统式修改"、G "大白话 TL;DR 收尾"、H "全库同步" 八份清单; 参数为 before / after / converge / fidelity / pre-edit / systematic / tldr / sync 则只输出对应一份。

请你(receiving agent)逐项核对以下检查清单,并明确回答每一条 ✅ / ❌ / N/A。 不要笼统地说"都做了"——每一条都要单独写明依据(file:line 或具体动作)。


A. 修改前自检(参考 rules/01,02,04

  • A1 · 完整阅读 — 我即将修改的文件是否在本会话内 Read 过完整内容?引用:<file> 在本会话第 N 次工具调用读过。
  • A2 · 影响面探查 — 我是否 Grep 过该文件被引用的所有位置?引用:列出 grep 命令与命中。
  • A3 · 上下游 Read — 对所有调用点是否 Read 过上下文?至少对 top-3 调用点。
  • A4 · 七问完成 — 是否回答了规则 02 的 7 个问题(架构定位 / 职责 / 根源 / 方案触底 / 连带 / 风险 / 全局)?请简述每个回答。
  • A5 · 验证未猜测 — 修改方案中所有关于 API、版本、行为的断言是否有验证依据?引用:每个断言对应的 Read/Grep/命令输出。
  • A6 · 最小有效更改 — 这次修改是否只做被要求的事,没有顺手重构、没有投机抽象?

B. 修改后自检(参考 rules/03,05

  • B1 · 根因 vs 症状 — 这次修改是否触达根本原因?是否避免了 try/except 静默、--no-verifytime.sleep 掩盖竞态、@ts-ignore 屏蔽类型?
  • B2 · 全部连带项已处理 — 修改文件 X 后,所有需要同步改的下游、测试、文档是否一并改了?请列出。
  • B3 · 新引入的不变量已记录 — 如果修改建立了新的不变量("X 永远不为 null"、"必须先获取锁"),是否在代码注释或文档里说明?
  • B4 · 引用可追溯 — 我描述这次修改时是否每一个代码位置都附 file:line、每一条外部断言都附链接/章节?
  • B5 · 半成品检查 — 是否留下任何 "TODO"、"FIXME"、"暂时这样"?如有,是否在回复中明确告知用户?

C. 收敛验证(参考 rules/06) —— 完成 B 之后必走 ⚠️

声称"已完成"之前必须全部 ✅。任意一项 ❌ → 未收敛,回到规则 02 重新分析。

  • C1 · 重触发原症状 — 用用户最初描述失败的同一条命令 / 同一份输入重新跑一次,附完整输出。原报错 / 原异常已消失?引用:粘贴前后命令 + 输出对照。
  • C2 · 边界 + 反向用例 — 跑了至少 1 个边界场景(空 / 异常 / 并发 / 跨平台路径 / Unicode)+ 1 个反向用例(明确应该 fail 的仍 fail)?引用:列出每个测试与结果。
  • C3 · 连带不破坏 — 跑了既有测试套件 / lint / 类型检查;附输出。引用:"pytest tests/ → 22 passed" 等。
  • C4 · 自答 4 题(强制)
    • C4.1 · 是不是真的解决了问题? 我有什么具体证据?这条证据如何排除"巧合 / 缓存 / 环境差异"?
    • C4.2 · 有没有更好的解决方法? 与替代方案在 简洁性 / 性能 / 可维护性 / 与现有架构契合度 上的对比是?为什么不选那种?
    • C4.3 · 改动是否经过验证? 哪一行代码 / 哪一个连带项被 C1-C3 触达?为什么不需要?
    • C4.4 · 验证是否合理? 我跑的测试 / 命令对应了原问题的哪个机理?是否覆盖了根因(rule 03)的因果链?
  • C5 · 量化证据(仅当涉及性能 / 竞态 / 兼容性时)— "快了" 给数字、"稳定了" 重跑 N≥10 次、"兼容了" 列出测试矩阵。

Read the full file on GitHub · 199 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. 2d ago First seen · 199 lines · 54 tokens per session scan A 77392b76eeda

Subscribe to this mod's changes

checklist is a command published in the GitHub repository skymanbp/cc-enforcer (5 stars, last pushed 7d ago), licensed MIT. It adds 54 tokens to every session and 5,750 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.