Borrowing it
Nothing to install: this file belongs to Peiiii/nextclaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Peiiii/nextclaw/master/.agents/skills/autonomous-maintainability-campaign/SKILL.mdgit clone --depth 1 https://github.com/Peiiii/nextclawWrote 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/peiiii/nextclaw/autonomous-maintainability-campaign)<a href="https://agentmods.dev/skills/peiiii/nextclaw/autonomous-maintainability-campaign"><img src="https://agentmods.dev/badge/skills/peiiii/nextclaw/autonomous-maintainability-campaign/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/peiiii/nextclaw/autonomous-maintainability-campaign"><img src="https://agentmods.dev/badge/skills/peiiii/nextclaw/autonomous-maintainability-campaign.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00054 | $0.00566 |
| Opus 5 | $0.00027 | $0.00283 |
| Sonnet 5 | $0.00011 | $0.00113 |
| Haiku 4.5 | $0.00005 | $0.00057 |
Grade A, and why
autonomous-maintainability-campaign 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 9d 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.
What it actually says
自治可维护性治理战役
前提
本 skill 只负责长期治理循环，不重新定义代码、目录或验证规范。启动前必须有明确目标、允许范围、停止条件、当前迭代和可执行的最小验证。
最小状态
在当前有效迭代的 work/ 中维护：
working-notes.md：目标、当前事实、已完成批次、剩余候选和下一步；state.json：机器续跑需要的当前批次、状态、验证和更新时间。
只保留当前真相，不写 transcript。没有有效迭代且用户未授权提前留痕时，不为启动战役擅自创建目录。
循环
- 读取最小状态和最新工作区事实。
- 从候选中只选择一个高置信、范围内、可独立验证的批次。
- 按已冻结的标准开发合同完成该批次；结构、死代码等专项只在命中时加载一个 owner，不重新加载上游 lifecycle。
- 当前批次实现完成后返回生命周期，由 Validation 与 Review 阶段分别完成风险证明、maintainability 自动检查和条件主观复核。
- 写回结果、证据、未解决项和下一批候选。
- 只有下一步仍高置信且未命中停止条件时继续。
选择原则
- 优先删除重复路径、死代码、错误 owner、无语义 wrapper 和明确治理违规。
- 一个批次只解决一个责任域，不借治理名义扩展产品功能。
- 显式零增长战役才启用 guard 的
--non-feature；普通清理不靠无关删减抵消行数。 - 不在 dirty 用户文件上做无法隔离的机械重写，不自动 commit/push/release。
停止
- 候选需要产品或架构决策；
- 证据不足、验证环境不可用或将触碰未授权外部状态；
- 连续候选收益低于调查/回归成本；
- 用户暂停，或目标已完成。
结束时汇总已完成批次、主要证据、剩余候选、工作区状态和恢复入口。不要把每轮过程输出重新加载为上下文。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 45 lines · 54 tokens per session scan A 3f39df1c2b4e
autonomous-maintainability-campaign is a skill published in the GitHub repository Peiiii/nextclaw (256 stars, last pushed today), licensed MIT. It adds 54 tokens to every session and 566 once invoked, about $0.0003 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.
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