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 smallnest/pigo --skill loop-itgit clone --depth 1 https://github.com/smallnest/pigoWrote 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/smallnest/pigo/loop-it)<a href="https://agentmods.dev/skills/smallnest/pigo/loop-it"><img src="https://agentmods.dev/badge/skills/smallnest/pigo/loop-it/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/smallnest/pigo/loop-it"><img src="https://agentmods.dev/badge/skills/smallnest/pigo/loop-it.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 | $0.00099 | $0.05008 |
| Opus 5.5 | $0.00040 | $0.02003 |
| Sonnet 5.5 | $0.00020 | $0.01002 |
| Haiku 4.5 | $0.00010 | $0.00501 |
Grade A, and why
loop-it 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 1mo 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 — 563 lines — stays where its author put it; the contents beside it link to each section on GitHub.
loop-it — 带检查点恢复的自动化 Issue 实现循环
Fetch all open GitHub issues, resolve dependency order, implement each through the full pipeline (内联实现 → /review-it → /note-it → /ship-it), persist progress to state file, and resume from checkpoint on crash.
⚠️ 关键前提：实现步骤由 agent 内联自主完成，不依赖任何外部
/goal命令。 本环境中不存在可调用的goal命令或 skill。因此「实现 issue」这一步必须由 agent 内联完成：直接读取该 issue 的标题与正文（含其引用的 PRD/SPEC 与验收条件），自主完成"理解需求 → 写/改代码 → 跑测试与 lint → 满足全部验收条件"的闭环，持续工作直到该 issue 的验收条件全部满足且测试/构建通过。不要尝试用 Skill 工具调用goal（会报goal is a UI command, not a skill），也不要因为找不到/goal而中止循环。/review-it、/note-it、/ship-it仍是真实 skill，经 Skill 工具调用。
Overview
前置检查 → 读取状态文件 → Fetch Issues → 构建依赖图 → 拓扑排序
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┌───────────────────────────────────────────────────────────┘
|
v
┌──────────────── 单 Issue 循环 ────────────────┐
| |
| 从检查点恢复？—— 跳过已完成/失败的 |
| |
| 分支准备 (checkout main, pull, create branch) |
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| Skip/Blocked? ── 是 → 标记 skipped/blocked, 写检查点 |
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| 否 |
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| 内联实现 → 出错？→ 分类 → 恢复 → 重试 |
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| | 失败 → 检查点, 下一个 |
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| /review-it → 有问题？→ 修复 → 重跑 review |
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| /note-it (捕获实现笔记, best-effort) |
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| /ship-it → 出错？→ 分类 → 恢复 |
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| 分支清理 (checkout main, pull, delete branch) |
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| 检查点 (标记 shipped) |
| | |
└────────┴──────────────────────────────────────┘
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v
全部完成 → 最终 Summary
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.
- 1mo ago First seen · 563 lines · 99 tokens per session scan A e2395b1c0b94
loop-it is a skill published in the GitHub repository smallnest/pigo (483 stars, last pushed 1mo ago), licensed MIT. It adds 99 tokens to every session and 5,008 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
update-v8-version
Update Codex's pinned v8 / rustyv8 versions, validate the release-candidate path, and investigate failed V8 canary or artifact builds. Use when asked to bump V8, update rustyv8 artifacts, prepare or validate a V8 release candidate, check v8-canary, or diagnose why a V8 version update no longer builds.
codew-release-qa-sweep
Use before claiming Codewhale release work is done: run the full gate sweep and list the manual QA targets.
gh-credit-harvest
Harvest one community PR into a release branch with authorship and credit preserved, verified green, and a warm thank-you.
github
Skill "github" from Hmbown/Codewhale, covering github, when to use, setup, workflow and non-goals.
release
Skill "release" from Hmbown/Codewhale, covering release, invocation, non-goals and workflow.
release-helper
Ensures configuration and code changes are released correctly. Use PROACTIVELY whenever you edit config.json, change any setting, or fix a configuration bug in this project, so the change reaches production.