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-backupnpx skills add openclaw/clawhub --skill convex-backupgit 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-backup)<a href="https://agentmods.dev/skills/openclaw/clawhub/convex-backup"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/convex-backup.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 5.1 | $0.00050 | $0.00946 |
| Opus 5 | $0.00025 | $0.00473 |
| Sonnet 5 | $0.00010 | $0.00189 |
| Haiku 4.5 | $0.00005 | $0.00095 |
Grade A, and why
convex-backup 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 7d 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-backup — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Back up — and prove the restore works
Every backup story has two halves and most people only do the first: taking the backup, and proving you can get it back. This capability does both — it sets up regular snapshot exports and then runs a RESTORE DRILL that actually recovers the data into a disposable preview and asserts it's intact. The drill reuses migrate-rehearse's exact primitives (snapshot export → preview deploy → snapshot import) pointed at recovery instead of a forward change, so the safety net is tested, not assumed.
Workflow
- GUARD: deploy-guard — classify + announce the deployment being backed up (reading/exporting is safe; the drill's restore target is a throwaway preview, never prod).
- TAKE the snapshot:
npx convex export --path backup-<date>.zip(add--include-file-storageif the app stores files). This is the backup artifact; treat it as sensitive real data. - SCHEDULE it (the ongoing half): recommend a cadence matched to how fast the data changes and how much loss is tolerable (RPO) — e.g. a daily
npx convex exportvia CI/cron to durable storage the user controls, with a retention window. Convex's own platform backups exist; this adds a user-owned, portable copy. - RESTORE DRILL (the half almost nobody does — this is the point):
(a) PRECONDITION: a Preview Deploy Key as
CONVEX_DEPLOY_KEY(same requirement as migrate-rehearse; a paid-tier feature). If unavailable, drill against a fresh personal dev deployment instead and say so. (b) create a throwaway preview from the CURRENT code:npx convex deploy --preview-create restore-drill-<date>. (c) restore the snapshot into it:npx convex import backup-<date>.zip --deployment restore-drill-<date> --replace(import targets a deployment by NAME with--deployment; there is no--preview-nameon import). (d) ASSERT recovery: read the restored data back (MCPtablesfor row counts,data/runOneoffQueryfor spot-checks) and confirm the critical tables came back with the expected row counts and a sample of real records — a restore that 'succeeds' but lands 0 rows is a FAILED drill. Compare against the source's counts where available. - REPORT the drill result plainly: what was backed up, that the restore was ACTUALLY performed and verified (or that it FAILED and why — a failed drill is the most valuable output, found before a real disaster), the recommended schedule + retention, and the recovery runbook (the exact commands to restore to prod:
npx convex import backup.zip --replace --prod, gated by deploy-guard, with the post-snapshot-write-loss caveat stated). - HYGIENE: delete local snapshot copies when done (real data); the drill preview auto-expires. Never commit a backup file.
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.
- 7d ago First seen · 34 lines · 50 tokens per session scan A d95ebe2afe99
convex-backup is a skill published in the GitHub repository openclaw/clawhub (9,393 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 946 once invoked, about $0.0003 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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