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 skills add openclaw/clawhub --skill convex-migrate-rehearsegit 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-migrate-rehearse)<a href="https://agentmods.dev/skills/openclaw/clawhub/convex-migrate-rehearse"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/convex-migrate-rehearse/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/openclaw/clawhub/convex-migrate-rehearse"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/convex-migrate-rehearse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 14 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 16 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 17 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 18 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 20 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.01078 |
| Opus 5.5 | $0.00017 | $0.00431 |
| Sonnet 5.5 | $0.00008 | $0.00216 |
| Haiku 4.5 | $0.00004 | $0.00108 |
Grade A, and why
convex-migrate-rehearse 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 2mo 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-migrate-rehearse — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 32 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rehearse a schema change on a preview before prod
A schema push on Convex validates every existing document against the new schema and FAILS the push if any row doesn't conform — a real data-conformance gate. The safe way to use that gate is to let it fail on a rehearsal copy, not on prod. This capability turns a preview deployment into that copy: seed it with a prod snapshot, push the new schema + run the backfill there, watch the gate, and only promote once it's green. It composes deploy-guard (target classification), migrate (the optional-then-tighten pattern), and @convex-dev/migrations (the batched, resumable backfill).
Workflow
- PRECONDITION: preview deployments need a Preview Deploy Key (dashboard → Project Settings → Deploy Keys → Preview) exported as
CONVEX_DEPLOY_KEYbefore any--preview-create/--preview-namedeploy — a plainnpx convex loginsession cannot create previews, and this is a paid-tier feature. If no preview key is available, fall back to rehearsing on the personal dev deployment seeded with the snapshot, and say so. - GUARD: deploy-guard — classify + announce the SOURCE (prod, being read) and the eventual TARGET (prod, being changed); get the fresh explicit yes for the prod promote up front and confirm the plan.
- SNAPSHOT the source data read-only:
npx convex export --path snapshot.zip(from the deployment holding the real data; add--include-file-storageonly if the migration touches files). This is a read; it changes nothing. - CREATE the preview FROM THE PRE-CHANGE CODE — do this BEFORE editing schema.ts, so the preview starts on the schema the snapshot data already conforms to:
npx convex deploy --preview-create migrate-<slug>(needs the preview key; auto-expires ~5 days). Seed it:npx convex import snapshot.zip --deployment migrate-<slug>(import targets a deployment by NAME with--deployment; there is no--preview-nameflag on import). The import succeeds because the data still matches the old schema. - REHEARSE on the preview, in the migrate order — each push is
npx convex deploy --preview-name migrate-<slug>(re-deploys to the SAME preview, keeping its data; NOTconvex dev, which targets personal dev): (a) make the new/changed field OPTIONAL and deploy — if existing rows violate it the push FAILS HERE on the copy with the offending shape; fix and re-push until green. (b) write a @convex-dev/migrations backfill and run it against the preview; verify every row is now valid. (c) tighten the validator (required / narrowed union) and deploy again — the gate now passes because the backfill ran. - VERIFY on the preview: run the app's functions against the migrated data (MCP
run/runOneoffQuerypointed at the preview, or a smoke query) to confirm behavior and shape. - PROMOTE only on the fresh explicit yes from step 1: apply the SAME sequence to prod (optional schema → backfill → tighten). Because it already succeeded on prod-shaped data, the prod push repeats a proven run. Keep the snapshot as the rollback artifact (
npx convex import snapshot.zip --replace --prod); state plainly that data written after the snapshot is lost, so keep the promote window short. - CLEAN UP: the preview auto-expires; delete the local snapshot when done (it holds real data — treat it as sensitive, never commit it).
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.
- 2mo ago First seen · 32 lines · 42 tokens per session scan A 926947257c53
convex-migrate-rehearse is a skill published in the GitHub repository openclaw/clawhub (9,547 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 1,078 once invoked, about $0.0002 per session on Opus 5.5. 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.
convex-migrate-rehearse compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| convex-migrate-rehearseopenclaw/clawhub | Skill | 9.5k | yesterday | MIT | A | 42 | Claude Code, Codex |
| architect/data-api-designechoVic/boss-skill | Skill | 547 | 5d ago | MIT | A | 26 | Claude Code |
| canonicalize-entityyogsoth-ai/de-anthropocentric-research-engine | Skill | 510 | 14d ago | Apache-2.0 | A | 27 | Claude Code, Codex |
| directory-based-skillagentfront/frontmcp | Skill | 148 | yesterday | Apache-2.0 | A | 28 | Claude Code, Codex |
| sql-explainerzhuyansen/agent-skills-hub | Skill | 492 | yesterday | MIT | A | 23 | Claude Code, Codex |
| odoo-18unclecatvn/agent-skills | Skill | 150 | 15d ago | MIT | A | 152 | Claude Code |
| r-dataLeoLin990405/r-analytics-skill | Skill | 5 | 2d ago | MIT | A | 48 | Claude Code, Codex |