跳到主要内容
知仓学习社ZHICANG

convex-deploy-guard

Classify + announce the target Convex deployment before any deployment-affecting command; fresh explicit consent for prod actions; session read-only…

读凭据严重 1 · 高危 0openclaw/clawhub

它会碰到什么

扫了多少1 个文本文件,3 KB
它会碰到什么读凭据
命中总数1 处
命中统计严重 1 · 高 0 · 中 0 · 低 0
逐条看命中(1 条严重或高危)
  • 严重 SKILL.md:14cred-paths
    1. IDENTIFY before you act: read `CONVEX_DEPLOYMENT` in .env.local, `convex.json`, and whether `CONVEX_DEPLOY_KEY` is set; or call the official Convex MCP `stat

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

<!-- GENERATED from convex-agents content/capabilities/deploy-guard.json — do not edit by hand. -->

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

  1. IDENTIFY before you act: read CONVEX_DEPLOYMENT in .env.local, convex.json, and whether CONVEX_DEPLOY_KEY is set; or call the official Convex MCP status tool. Classify the target: local-anonymous | dev | preview | prod. If two sources disagree, resolve before proceeding.
  2. 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.
  3. PROD needs a FRESH explicit yes: before npx convex deploy (when it resolves to prod), npx convex run --prod, env set on prod, snapshot import/export on 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.
  4. 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'.
  5. 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.
  6. 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.
  7. Ambiguity = stop: if you cannot determine which deployment a command will hit, find out (status tool; compare npx convex env list fingerprints) — 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.

想直接用这个技能?

本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。