ClawHub is a public registry where OpenClaw users publish, version, search, and install text-based agent skills and OpenClaw packages. It provides web browsing, a CLI-oriented API, moderation, vector search, and artifact hosting for code plugins, bundle plugins, and experimental whole-agent packages. The catalogue skills and agents are entries that can be discovered or used through this registry.
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 agentmods add skills/openclaw/clawhub/convex-testnpx skills add openclaw/clawhub --skill convex-testgit clone --depth 1 https://github.com/openclaw/clawhubWrote 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/openclaw/clawhub/convex-test)<a href="https://agentmods.dev/skills/openclaw/clawhub/convex-test"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/convex-test.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00016 | $0.00182 |
| Opus 5 | $0.00008 | $0.00091 |
| Sonnet 5 | $0.00003 | $0.00036 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
convex-test 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- convex-test — 100% identical, 0 lines differ
What it actually says
Generate Convex tests
Use convex-test + vitest to test functions against an in-memory backend: args/returns, auth paths, indexes, and scheduled functions.
Workflow
- Install convex-test + vitest.
- Write tests using convexTest(schema): seed via t.run, call t.query/t.mutation, assert.
- Cover auth (withIdentity), error paths, and scheduled functions (t.finishInProgressScheduledFunctions).
- Run vitest; keep tests deterministic.
Rules
- Use convex-test (in-memory), not a live deployment.
- Cover auth + error paths, not just the happy path.
- Keep tests deterministic (no real time/network).
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.
- 5d ago First seen · 24 lines · 16 tokens per session scan A c8f1244d35c9
convex-test is a skill published in the GitHub repository openclaw/clawhub (9,391 stars, last pushed today), licensed MIT. It adds 16 tokens to every session and 182 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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