An automated loop that fetches open GitHub issues, orders them by dependencies, and takes each through implementation, review, documentation, and shipping. It saves progress in .loop-state.json so the work can resume after a crash.

Use it to implement a sequence of dependent GitHub issues, run tests and checks, review each change, record notes, ship it, and continue from a saved checkpoint.

It removes the need to run the same issue workflow manually and keeps track of which issues were completed, skipped, or blocked.

loop-it — Skill by smallnest

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 skills/smallnest/pigo/loop-it

Any agent

npx skills add smallnest/pigo --skill loop-it

Clone the repo

git clone --depth 1 https://github.com/smallnest/pigo

Made for: Claude Code, Codex.

Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 5,008 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. 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.

Model	Per session	Once invoked
Fable 5	$0.00099	$0.05008
Opus 5	$0.00049	$0.02504
Sonnet 5	$0.00020	$0.01002
Haiku 4.5	$0.00010	$0.00501

Measured 2d ago against content hash e2395b1c0b94, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 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.

internal/builtinskills/skills/loop-it/SKILL.md · 563 lines

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
                                                              |
    ┌───────────────────────────────────────────────────────────┘
    |
    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) |
|        |                                      |
|  Skip/Blocked? ── 是 → 标记 skipped/blocked, 写检查点 |
|        |                                      |
|        否                                      |
|        |                                      |
|  内联实现 → 出错？→ 分类 → 恢复 → 重试        |
|        |              |                       |
|        |           失败 → 检查点, 下一个         |
|        |                                      |
|  /review-it → 有问题？→ 修复 → 重跑 review     |
|        |                                      |
|  /note-it (捕获实现笔记, best-effort)          |
|        |                                      |
|  /ship-it → 出错？→ 分类 → 恢复                |
|        |                                      |
|  分支清理 (checkout main, pull, delete branch) |
|        |                                      |
|  检查点 (标记 shipped)                         |
|        |                                      |
└────────┴──────────────────────────────────────┘
         |
         v
    全部完成 → 最终 Summary

Read the full file on GitHub · 563 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.

2d ago First seen · 563 lines · 99 tokens per session scan A e2395b1c0b94

Subscribe to this mod's changes

loop-it is a skill published in the GitHub repository smallnest/pigo (403 stars, last pushed 2d ago), licensed MIT. It adds 99 tokens to every session and 5,008 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 2026-08-30.

Git and workflow Project management coding-agent pi-agent

loop-it

Getting it into your agent

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

loop-it — 带检查点恢复的自动化 Issue 实现循环

Overview

What this file has done since we first saw it

Other skills, from other repositories

wayfinder

setup-matt-pocock-skills

to-spec

create-issue

gh-file-issue

gh-treasure-hunt