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Skill evidence / pr-babysit
Skill profile

pr-babysit

Use when babysitting a PR/MR until CI is green and every valid reviewer feedback is addressed :...

What this skill does for you

Use when babysitting a PR/MR until CI is green and every valid reviewer feedback is addressed : supports GitHub PR (gh) and GitLab MR (glab), triages comments into Valid / Discuss / Out-of-scope, addresses valid items with small commits and inline thread replies, escalates invisible findings (SonarQube/Snyk dashboards) and 3-round bot deadlocks, reports ready-to-merge (never auto-merges). Triggers : '監看 PR', 'babysit PR/MR', 'PR 顧到 merge', 'address review feedback', 'wait until CI green', '把 PR 顧到綠'. NOT for writing PR descriptions, NOT for diff code review (use pr-review), NOT for actually merging the PR (user does that).

Quoted from the skill description in the pinned source

Who made it

Publisherkirkchen
Repositorycadence
Installs372as 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 pr-babysit skill from kirkchen/cadence.

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.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

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: a0b6e2eac42e09ce22eb035c7b0d12421ca6a40b. 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: a0b6e2eac42e09ce22eb035c7b0d12421ca6a40b. 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: a0b6e2eac42e09ce22eb035c7b0d12421ca6a40b. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/kirkchen/cadence
Pinned skill file
View source at revision
Revision
a0b6e2eac42e09ce22eb035c7b0d12421ca6a40b
Package hash
sha256:c9b2523f21798c9121b64497fba0d29bb17087fa1faf4ec471e36409d89c6d13
Licence
MIT