Skill profile

loop-it

Automated issue loop with checkpoint/resume: fetch open GitHub issues → dependency-aware topological...

What this skill does for you

Automated issue loop with checkpoint/resume: fetch open GitHub issues → dependency-aware topological sort → implement each issue end-to-end → review with /review-it → ship with /ship-it → repeat. Persists state to .loop-state.json for crash recovery. Triggers on: loop-it, loop issues, auto implement, 批量实现, 循环实现, 实现所有issue, 恢复循环, resume loop.

Quoted from the skill description in the pinned source

Who made it

Publishersmallnest

Repositorygoal-workflow

Installs317as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the loop-it skill from smallnest/goal-workflow.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: b06ab3c1c147dcf7ef8dd62a8927cd506d098135. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: b06ab3c1c147dcf7ef8dd62a8927cd506d098135. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: b06ab3c1c147dcf7ef8dd62a8927cd506d098135. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/smallnest/goal-workflow
Pinned skill file: View source at revision
Revision: b06ab3c1c147dcf7ef8dd62a8927cd506d098135
Package hash: sha256:447558c95a4fee87ea1a7235ff6691df50a44ecc664d5ddb6ee35e31873b42dd
Licence: MIT