deploy-sanity
Skill2 starsChanged 5 months agoApache-2.0View on GitHub
After a Vercel production deploy, verify the live URL renders and core routes respond; append .context/deploy-log.md. On failure, open a p0 bug and revert main to last good. Run after every production deploy.
In this repository9 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- context-syncSkill
- engine-adapter-scaffoldSkill
- file-issueSkill
- ir-schema-guardSkill
- issue-triageSkill
- pick-issueSkill
- reap-staleSkill
- tdd-cycleSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 28
Never leave production red while investigating.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
deploy-sanity
main merges auto-deploy to production, and the human's only feedback loop is the
live site — so every deploy gets verified, and failures roll back immediately.
Procedure
- Get the production URL (Vercel project
openbench; also in the repo variableOPENBENCH_PROD_URL). - Probe:
GET /→ 200, body contains "OpenBench" (marker check, not just status).GET /api/health→ 200 JSON{ ok: true, irVersion }.- Editor route
/editor(or current entry route) → 200.
- Healthy → append one row to
.context/deploy-log.md:| <UTC date> | <short sha> | <one-line what changed> | <risk notes or —> |and commit it with the next PR (or directly if branch protection allows admin). - Unhealthy →
a.
gh issue create --label "type:bug,area:agent-ops,status:ready,p0" --title "p0: production unhealthy after <sha>"with probe output in the body. b. Revert: branchrevert/deploy-<sha8>,git revert <bad sha>, push, PR titledrevert: unhealthy production deploy (<sha>)— auto-merge lands it once green. c. Append the failure + revert todeploy-log.md. - Never leave production red while investigating. Revert first, diagnose second.
CI runs the same probe automatically (deploy-sanity.yml) on every push to main;
this skill is the richer in-session version (multi-route, log-writing).
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

