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 skills add unknowbug/anchorlaw --skill anchor.maintaingit clone --depth 1 https://github.com/unknowbug/anchorlawWrote 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.
[](https://agentmods.dev/skills/unknowbug/anchorlaw/anchor.maintain)<a href="https://agentmods.dev/skills/unknowbug/anchorlaw/anchor.maintain"><img src="https://agentmods.dev/badge/skills/unknowbug/anchorlaw/anchor.maintain/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/unknowbug/anchorlaw/anchor.maintain"><img src="https://agentmods.dev/badge/skills/unknowbug/anchorlaw/anchor.maintain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.00585 |
| Opus 5.5 | $0.00017 | $0.00234 |
| Sonnet 5.5 | $0.00008 | $0.00117 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
anchor.maintain 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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- anchor-maintain — 94% identical, 3 lines differ
What it actually says
anchor.maintain — 协议维护工作流
Protocol: spec/protocol-v0.25.md §0 (Universal Quantifier Discipline), §8 (Maturity), §10 (Versioning), §11 (Audit) Layer: L4 (Maintain) — 仅限 Anchorlaw 仓库内部（§14.6：MAY 限于协议自身仓库） Execution: inline
触发场景
在本仓库（Anchorlaw）内修改协议或实现时。外部使用者不需要本 skill。
铁律
- 测试全绿：任何改动必须
python -m pytest --rootdir=python python/tests -q全绿（新增时保持全绿；命令行被沙箱拦截时用包装脚本调pytest.main()）。 - 自指铁律：scanner 必须能扫自己的代码不崩溃（第一律反身应用）。
- 新功能必须配测试：协议宣称的每条行为都要有测试证据，否则 §8 Maturity 标 Unverified。
- 协议文档纪律：
- RFC 2119 措辞（MUST/SHOULD/MAY）分级
- 每个全称声称（any/all/every/never）必须带验证证据或限定实现范围，改协议同步更新 §11 审计表
- v0.x 升版记录真实触发原因，不许无理由升版
- Maturity 表 Latest Evidence 写实测数据，不写「应该可以」
- 通用协议铁律：Anchorlaw 是语言无关协议，禁止过度 Python 化——anchor 抽象 = 声明位置 + 验证载体（§13）；跨语言新特性先在协议定义语言无关语义，再逐语言实现。
- 提交纪律：author 固定
unknowbug（禁止改 user.name）；commit message 英文、动词开头（feat(v0.7): ...）；commit 前测试全绿 + changelog/maturity 同步；push 后 GitHub→GitCode 自动同步。
输出
测试全绿 + 协议文档证据同步 + 规范 commit。
约束
- 测试是协议自身的第一律应用，无测试不改协议。
- C++/TS 的 anchor 实现变化需同步 §13 三语言等价表。
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.
- 6d ago Changed 57d116ffdcc0
- 13d ago Changed 9a5204723bda
- 1mo ago Changed 282a199d8531
- 1mo ago Changed 2fb0b8d1cf3d
- 1mo ago Changed 8fc758c346a3
- 1mo ago Changed 280dca35e08b
- 2mo ago First seen · 37 lines · 42 tokens per session scan A edadea8ea01b
anchor.maintain is a skill published in the GitHub repository unknowbug/anchorlaw (7 stars, last pushed 7d ago), licensed MIT. It adds 42 tokens to every session and 585 once invoked, about $0.0002 per session on Opus 5.5. 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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