agentleFS
FabienGreardFabienGreard/TouchGrassBar/.agents/skills/convex-verify/SKILL.md

convex-verify

Skill4 starsChanged 54 days agoMITView on GitHub

Prove a Convex feature works — seed, drive as multiple mocked users via convex-test, assert behavior including the negative authz cases (wrong user refused, data-scope enforced).

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Do NOT weaken a test to make it pass: if the owner-only query returns another user's row, the FIX is in the function (hand to …

    line 23
  2. Very specific:

    Run in-process with convex-test — no deployment needed.

    line 31
  3. Distinctive:

    Never weaken an assertion to make it pass: a failing negative test is a real defect → hand the fix to convex-authz/convex-expert, don't …

    line 32

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md
<!-- GENERATED from convex-agents content/capabilities/convex-verify.json — do not edit by hand. -->

Prove a feature works — seed, drive, assert

A green typecheck proves the code parses; it does not prove a non-owner is actually denied, that a query returns the right rows, or that a mutation has the effect it claims. This capability closes that gap with the loop the whole field is missing: seed → drive → assert, run in-process with convex-test so it needs no deployment. Its highest-value assertions are the NEGATIVE ones — the caller who should be refused — because those are exactly the authz defects the 30-app corpus shows are the #1 real bug and the ones a happy-path demo never catches.

Workflow

  1. IDENTIFY the feature to prove: the specific exported query/mutation/action (or a small set) the user just built/changed, and its intended behavior — who should be allowed, what data should come back, what a mutation should change. If the intent is unstated, ask one focused question rather than guessing the contract.
  2. SET UP convex-test: ensure convex-test + vitest are dev deps AND a vitest.config.ts sets test.environment: "edge-runtime" with server.deps.inline: ["convex-test"] — WITHOUT that config, convexTest(schema) fails at runtime with import.meta.glob is not a function (verified). Also install @edge-runtime/vm. Then convexTest(schema) gives a t handle. Reuse the project's existing test setup if present (compose with the test capability, don't fork it).
  3. SEED realistic data through the app's OWN functions where possible (so the seed exercises the same validators/mutations a real user would), falling back to t.run(async (ctx) => ctx.db.insert(...)) for fixtures the public API can't create. Seed at least: the caller's own rows AND a second user's rows, so cross-user access is testable.
  4. DRIVE the feature as DIFFERENT identities with t.withIdentity({ subject, tokenIdentifier, ... }): call the function as (a) the legitimate owner, (b) a different authenticated user, and (c) unauthenticated (t with no identity). Use the real identity shape the app's auth uses (subject/tokenIdentifier), matching how ownership is resolved.
  5. ASSERT behavior — POSITIVE and NEGATIVE:
    • positive: the owner gets the expected rows / the mutation made the expected change (expect(await t.withIdentity(owner).query(api.x.y, args)).toEqual(...)).
    • NEGATIVE (the load-bearing half): a different user calling the same function is REFUSED — await expect(t.withIdentity(other).mutation(api.x.cancel, {id})).rejects.toThrow(/forbidden|not authorized|403/) — and an unauthenticated caller is refused where auth is required. A feature is not proven until the wrong caller is shown to be blocked.
    • data-scope: a list/query returns ONLY the caller's rows, never the second user's (assert the second user's row is absent).
  6. RUN the tests (npx vitest run) and report: what was proven (each positive + negative assertion that passed), and — critically — any assertion that FAILED, because a failed negative assertion is a real authz hole found before ship. Emit findings on the bus (specs/finding.schema.json, class authz/correctness, evidence kind probe-result with the exact failing call) for anything that didn't behave.
  7. Do NOT weaken a test to make it pass: if the owner-only query returns another user's row, the FIX is in the function (hand to convex-authz), not in the assertion. A test changed until it's green proves nothing.

Rules

  • Prove behavior, not compilation: every verification includes at least one NEGATIVE assertion (a caller who should be refused is refused) — the happy path alone is not proof.
  • Drive the feature as multiple identities with t.withIdentity (owner, other user, unauthenticated) using the app's real subject/tokenIdentifier shape.
  • Seed both the caller's rows AND a second user's rows so cross-user access and data-scope are actually testable.
  • A vitest.config.ts with environment 'edge-runtime' + convex-test inlined is REQUIRED for convex-test to run (import.meta.glob needs it); author it, don't just author the test file.
  • Run in-process with convex-test — no deployment needed; compose with the test capability's setup rather than forking it.
  • Never weaken an assertion to make it pass: a failing negative test is a real defect → hand the fix to convex-authz/convex-expert, don't edit the test until it's green.
  • Emit a bus finding for any assertion that failed (authz/correctness, evidence: the failing probe call) so a composite pass or self-heal can pick it up.
  • This drives a SPECIFIC built feature; a request to set up a test framework generally is the test capability.

Download now (ZIP)

Trending

Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data

Week of Aug 30: 0 new projectsWeek of Sep 6: 0 new projectsWeek of Sep 13: 0 new projectsWeek of Sep 20: 0 new projectsWeek of Sep 27: 0 new projectsWeek of Oct 4: 0 new projectsWeek of Oct 11: 0 new projectsWeek of Oct 18: 0 new projects
Aug 2026Sep 2026Oct 2026
New projects taking a version of this file each week, over the 8 weeks our latest run read: only 0 in all, so this is a hint, not a trend.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

Reviews can't be read right now.

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.