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 clawhub-convexgit 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/clawhub-convex)<a href="https://agentmods.dev/skills/openclaw/clawhub/clawhub-convex"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/clawhub-convex/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/clawhub-convex"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/clawhub-convex.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Privilege Escalation · line 36 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00062 | $0.01279 |
| Opus 5 | $0.00031 | $0.00639 |
| Sonnet 5 | $0.00012 | $0.00256 |
| Haiku 4.5 | $0.00006 | $0.00128 |
Grade A, and why
clawhub-convex 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.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ClawHub Convex
Use the managed Convex guidance for general framework behavior and this skill for ClawHub's repository-specific boundaries.
Start Here
- Read
convex/_generated/ai/guidelines.mdbefore editing Convex code. - Name the target runtime before running a Convex command:
local,dev, orprod. Include the exact deployment when known and whether the current function/schema code has already been pushed there. - Route to the most specific companion skill:
- Query cost, indexes, read amplification, subscriptions, or OCC:
convex-performance-audit - Production migration, backfill, schema narrowing, or table reshaping:
convex-migration-helperandcreate-and-cleanup-migration - Tables, TTL fields, cleanup crons, retention, auth/session cleanup, metric
dedupe cleanup, or deprecated table removal:
convex-retention - Auth, reusable components, or setup: use the matching managed Convex skill.
- Query cost, indexes, read amplification, subscriptions, or OCC:
Do not edit upstream-managed Convex skills to store ClawHub policy.
Commands And Runtime Validation
- Push new or changed functions before
convex run:- dev:
bunx convex dev --once - prod: deploy through the workflow described by
clawhub-production-release
- dev:
- For a non-interactive direct production deploy when explicitly required, use
bunx convex deploy -y. - If
bunx convex run --env-file .env.local ...returns401 MissingAccessTokenafter login, omit--env-fileand target the deployment with--deployment <name>or--prod. - Regenerate committed API/types with
bunx convex codegenafter Convex API/schema changes. - Import mutations from
convex/functions.ts, notconvex/_generated/server, so ClawHub's trigger wrapper runs. Type imports can still come fromconvex/_generated/server. - Do not disable typechecking for an ordinary direct deploy. The production workflow owns its explicit deploy behavior and exceptions.
Mocked ctx tests cover pure business logic only. When behavior depends on
pagination, indexes, validators, auth identity, internal/public boundaries,
schedulers, actions calling functions, HTTP actions, storage, or OCC, also run
a real Convex path such as:
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 127 lines · 62 tokens per session scan A 91fde1bbc53b
clawhub-convex is a skill published in the GitHub repository openclaw/clawhub (9,407 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 1,279 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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