Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add get-convex/agent-skills --skill convex-verifygit clone --depth 1 https://github.com/get-convex/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/get-convex/agent-skills/convex-verify)<a href="https://agentmods.dev/skills/get-convex/agent-skills/convex-verify"><img src="https://agentmods.dev/badge/skills/get-convex/agent-skills/convex-verify/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/get-convex/agent-skills/convex-verify"><img src="https://agentmods.dev/badge/skills/get-convex/agent-skills/convex-verify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.01115 |
| Opus 5 | $0.00021 | $0.00558 |
| Sonnet 5 | $0.00008 | $0.00223 |
| Haiku 4.5 | $0.00004 | $0.00112 |
Grade A, and why
convex-verify scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to convex-verify — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
- 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.
- SET UP
convex-test: ensureconvex-test+vitestare dev deps AND avitest.config.tssetstest.environment: "edge-runtime"withserver.deps.inline: ["convex-test"]— WITHOUT that config,convexTest(schema)fails at runtime withimport.meta.glob is not a function(verified). Also install@edge-runtime/vm. ThenconvexTest(schema)gives athandle. Reuse the project's existing test setup if present (compose with thetestcapability, don't fork it). - 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. - 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 (twith no identity). Use the real identity shape the app's auth uses (subject/tokenIdentifier), matching how ownership is resolved. - 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).
- positive: the owner gets the expected rows / the mutation made the expected change (
- 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. - 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.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 35 lines · 42 tokens per session scan A b7aff41a73c0
convex-verify is a skill published in the GitHub repository get-convex/agent-skills (55 stars, last pushed today), licensed Apache-2.0. It adds 42 tokens to every session and 1,115 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to convex-verify, differing in 0 lines, and is treated as a copy.
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