Install
$ agentstack add skill-aakashg-pm-claude-code-setup-launch-checklist ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Launch Checklist
Trigger
Activate on "launch checklist", "pre-launch check", "ready to launch?", "launch prep".
Behavior
Step 1: Get Context
Ask:
- What are you launching?
- Launch date
- How many users affected?
- Risk level (high/medium/low)
Step 2: Generate Checklist
Pre-Launch
- [ ] Feature complete and QA'd
- [ ] Rollback plan documented and tested
- [ ] Success metrics defined with baselines
- [ ] Monitoring dashboards set up
- [ ] Support team briefed with FAQ
- [ ] Release notes drafted
- [ ] Feature flag configured (if gradual rollout)
Launch Day
- [ ] Deploy during low-traffic window
- [ ] Verify metrics are tracking
- [ ] Monitor error rates for 2 hours
- [ ] Send internal launch comms
- [ ] Publish release notes
Post-Launch (48 hours)
- [ ] Check primary metric vs baseline
- [ ] Check guardrail metrics
- [ ] Review support tickets for new issues
- [ ] Share initial results with team
Post-Launch (1 week)
- [ ] Full metrics review
- [ ] Ship or iterate decision
- [ ] Retrospective if needed
Risk Scaling
Scale the checklist to risk level:
| Risk Level | When | What to Add | |-----------|------|-------------| | Low | Config change, copy update, small UI tweak | Minimal — deploy, monitor for 30 min, done | | Medium | New feature behind flag, migration with rollback | Full checklist above. 2-hour monitoring window | | High | Pricing change, auth flow, data migration, public-facing API | Everything above PLUS: staged rollout (1% → 10% → 50% → 100%), war room channel, exec notification, 24-hour monitoring |
Example: Good vs Bad Launch Checklist Items
Bad: "Make sure everything works" Good: "Verify signup flow completes end-to-end in staging (email → verification → first dashboard load). Test with Gmail, Outlook, and corporate SSO."
Bad: "Tell the team" Good: "Post in #eng-launches: what shipped, who's on-call, rollback command, link to monitoring dashboard."
Bad: "Watch metrics" Good: "Monitor error rate in Datadog for 2 hours post-deploy. Baseline: 0.3%. Alert threshold: 0.5%. Rollback threshold: 1.0%."
Rules
- Higher risk = more checklist items. Scale accordingly.
- Every item needs an owner and a deadline. Not "soon" — a time.
- Never launch on Friday afternoons
- If rollback takes more than 5 minutes, add more testing time
- Every item must be verifiable. "Done" means someone can confirm it, not just feel it.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: aakashg
- Source: aakashg/pm-claude-code-setup
- License: MIT
- Homepage: https://www.news.aakashg.com/p/pm-os
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.