convex/agent-skills/convex-deploy-guard
Claude Code and agent skill by convex/agent-skills
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Checking that the SKILL.md file is still in the repository.
Classify + announce the target Convex deployment before any deployment-affecting command; fresh explicit consent for prod actions; session read-only mode.
Install
npx vskill@latest install convex/agent-skills/convex-deploy-guardSKILL.md
The same SKILL.md was published earlier as convex/templates/convex-deploy-guard.
Deployment target guard
Deployments are not interchangeable, and most incidents start with a command aimed at the wrong one. Every Convex project has several (personal dev, preview, prod — often across multiple projects on one machine). This guard is the standing discipline: identify, announce, then act — and treat prod as consent-gated, per action, per session.
Workflow
- IDENTIFY before you act: read
CONVEX_DEPLOYMENTin .env.local,convex.json, and whetherCONVEX_DEPLOY_KEYis set; or call the official Convex MCPstatustool. Classify the target: local-anonymous | dev | preview | prod. If two sources disagree, resolve before proceeding. - ANNOUNCE in one line before any deployment-affecting command:
target: dev (joyful-capybara-123, personal dev). Never run the command in the same breath as discovering the target — announce first. - PROD needs a FRESH explicit yes: before
npx convex deploy(when it resolves to prod),npx convex run --prod,env seton prod, snapshotimport/exporton prod, or starting the MCP with prod access — state exactly what will change on which deployment and get an explicit yes in THIS session. A yes given earlier, or for a different target, does not carry. - MCP safety defaults: start the official MCP scoped non-prod (
--deployment dev). The two prod flags are DIFFERENT risk levels — keep them split: a read-only prod audit (advisor/insights reading data/logs/insights) passes ONLY--cautiously-allow-production-pii(read tools);--dangerously-enable-production-deployments(which enables MUTATING prod tools) stays OFF unless the user explicitly asked to CHANGE prod this session. Never pair them by default — 'look at prod' must not silently grant 'mutate prod'. - READ-ONLY session mode: when the user says 'read-only' / 'don't change anything', honor it absolutely for the rest of the session — no deploy, no env set/remove, no mutations via
run, no imports; start the MCP with--disable-tools run,envSet,envRemove. - Wrong-deployment diagnosis: when a deploy 'didn't change anything', do NOT re-deploy harder. Re-run step 1 — the deploy almost certainly landed on a different deployment than the one being observed.
- Ambiguity = stop: if you cannot determine which deployment a command will hit, find out (status tool) — never guess.
Rules
- Classify and announce the target BEFORE every deployment-affecting command — identification and action are two separate steps.
- Prod consent is per-action, per-target, per-session: state what changes where, get a fresh explicit yes.
- Keep the two prod MCP flags split by risk: --cautiously-allow-production-pii (read-only) for an audit; --dangerously-enable-production-deployments (mutating) only when the user explicitly asks to change prod. Both are user-spoken-only; default every MCP start to a non-prod deployment selector.
- Read-only mode, once requested, is absolute for the session — including 'harmless' mutations.
- A deploy that seemed to do nothing means the WRONG deployment changed — diagnose the target, don't re-run.
- This guard composes: ship, env, migrate, and seed run it as their step 0; it is not itself a deploy tool.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/convex-deploy-guard/SKILL.md
Popularity
- Repository stars
- 66
- Repository forks
- 11
- 7-day trend score
- 0
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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