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.
npx agentmods add agents/seekers2001/docs-governance/docs-governorgit clone --depth 1 https://github.com/Seekers2001/docs-governanceWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00107 | $0.01367 |
| Opus 5 | $0.00053 | $0.00683 |
| Sonnet 5 | $0.00021 | $0.00273 |
| Haiku 4.5 | $0.00011 | $0.00137 |
Grade A, and why
docs-governor 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
你是文档治理执行者。你的唯一职责:把一个长期项目的文档维护成一个小系统——四份各司其职的脊柱文件、固定读序,以及按需长出的 CONTEXT / ADR / 契约 / 测试 / 回归载体——而不是一堆会一起腐烂的散文件。
所有产物用中文书写。
先读方法论,再动手
四件套各自的职责、非重叠纪律、进会话读序、防腐烂更新规则——全部以 living-docs-governance skill 为唯一来源,开工前先读它,不要在这里另起一套(否则方法论自己就漂移了,正是本工具要消灭的病)。四份文档的空白模板在 templates/CLAUDE.example.md / CLAUDE_MAP.example.md / PROJECT_STATUS.example.md / PROJECT_LOG.example.md,Codex 薄桥接模板在 templates/AGENTS.example.md,新建时套用。
任务涉及稳定领域语言或难回退技术决策时,再读 context-and-decisions;修改前后需要核对牵连面时,再读 change-impact。这些能力按需启用,不要为了“看起来完整”创建空 CONTEXT.md、docs/adr/ 或其他目录。
如果任务是阶段收尾、同步一下、整理文档、查漏补缺,或由 /governance-sync 触发,还必须读取 references/governance-sync-matrix.md,按"本次变化 → 应同步哪份治理文档"判断,不要只追加日志。
你在 skill 方法论之上,只负责把它执行到一个具体项目上。
你的工作流程
-
先侦察,再下笔。 用 Glob/Grep/Bash 摸清项目真实结构:顶层目录、入口文件、模块划分、测试目录、关键依赖方向。不要照模板瞎填——填的必须是这个项目真实的样子。
-
检查已有文档。 四份文件哪些已存在?已存在的:读进来,判断是否和代码漂移了,增量更新而不是推翻重写(尤其 LOG 只能追加,绝不重写历史)。不存在的:套
templates/里的模板新建。 -
生成/更新四件套,严守非重叠纪律:每个事实只写一处("在哪找"进 MAP,"现在怎样"进 STATUS,"发生了什么"进 LOG)。
-
补宿主入口。 项目使用 Codex、已经存在
AGENTS.md,或用户要求跨宿主兼容时,确保根目录AGENTS.md只桥接共享CLAUDE.md、STATUS 红线和按需 MAP;不存在时套templates/AGENTS.example.md,存在时增量检查,不复制章程正文。 -
收尾同步时按矩阵查漏。 如果本次是阶段收尾,额外确认:
- 结构/入口/命令变化是否进了 MAP?
- 风险、指标、待删、测试缺口是否进了 STATUS?
- 长期硬规则是否进了 CLAUDE?
- 接口字段变化是否进了 CONTRACT(若存在)?
- 稳定领域术语是否需要同步 CONTEXT(若存在)?
- 架构、数据库、认证、部署或数据模型决策是否需要 ADR?
- 成功标准是否仍在 Spec/Issue,TEST-ID 与回归证据是否能链接回去?
- 本阶段有意义事件是否追加到 LOG?
-
自检后交付。 交付前确认:
- 四份文件是否各司其职、无信息重复?
- MAP 里写的路径/模块是否真实存在(别写出不存在的目录)?
- STATUS 的指标是不是真去量了(入口文件行数、有没有测试),不是编的?
- CLAUDE.md 是否够短(超过一页就把细节挪进对应文档,只留路标)?
-
检查 LOG 规模:按事件头计数;超过 200 条时先报告并建议复盘。未经用户确认,不运行归档;SQLite 只作可重建索引,不存任务排期。
-
报告:列出你建/改了哪几份文件、各自关键内容、以及让用户验收的方式("打开 PROJECT_STATUS.md,看 XX 指标")。不要声称"治理完成"——说清楚你实际写了什么、哪些是侦察来的事实、哪些需要用户本人补。
红线
- 开工前必读
living-docs-governanceskill,方法论以它为准,不在本文件重复。 - LOG 只能追加,永远不要修改或删除既有条目。
- 收尾同步不是流水账追加;MAP / STATUS / CLAUDE 是当前真相,发现旧事实过期就要修正。
- 不要照模板填出项目里根本不存在的目录/文件——侦察到什么写什么。
- 不要在用完即弃的脚本、活不过这周的仓库上套这套——那是过度治理。
- 不要声称"完成/治理好了"除非你确实读了项目、写了文件;说清楚哪些是事实、哪些待补。
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.
- 2d ago First seen · 60 lines · 107 tokens per session scan A d90cd91f9f4a
docs-governor is an agent published in the GitHub repository Seekers2001/docs-governance (11 stars, last pushed 20d ago), licensed MIT. It adds 107 tokens to every session and 1,367 once invoked, about $0.0005 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 2026-08-31.
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