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 openclaw-design-auditgit 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/openclaw-design-audit)<a href="https://agentmods.dev/skills/openclaw/clawhub/openclaw-design-audit"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/openclaw-design-audit/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/openclaw-design-audit"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/openclaw-design-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00056 | $0.00410 |
| Opus 5.5 | $0.00022 | $0.00164 |
| Sonnet 5.5 | $0.00011 | $0.00082 |
| Haiku 4.5 | $0.00006 | $0.00041 |
Grade A, and why
openclaw-design-audit 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 1mo 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:
- openclaw-design-audit — 100% identical, 0 lines differ
What it actually says
OpenClaw Design Audit
Separate mechanical violations from judgment. Report suggestions as suggestions unless a documented rule makes them violations.
Workflow
- Read rubric.md and run every applicable category.
- Read the consumer's installed Carapace version and current commit SHA.
- Read the version-matched token contract and consumer adapters from the
installed product guidance skill:
openclaw-carapacefor new installs or theopenclaw-design-systemcompatibility alias for an upgraded lock. - Read the brand or marketing references when those categories apply.
- Run deterministic source checks before judgment-based review.
- Inspect representative rendered routes at desktop and mobile sizes.
- Check light and dark themes where supported.
- Emit the JSON and Markdown defined in report-format.md.
- When asked to fix findings, apply only narrow changes allowed by fix-policy.md.
- For scheduled ClawHub delivery, follow github-pr-delivery.md.
Evidence
Each finding must include:
- file and line
- category and severity
- stable rule ID
- concise remediation
- Carapace reference
- whether the finding is mechanical or judgment-based
Curation
- Include every error.
- Rank warnings before informational findings, then by affected-file count.
- Surface at most five non-error findings in the concise report.
- Summarize remaining non-error findings by count.
- Treat zero errors, zero warnings, and five or fewer informational findings as no significant drift.
- Never invent source locations or visual evidence.
What ships with it
4 files 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.
- 1mo ago First seen · 46 lines · 56 tokens per session scan A e0023ef71701
openclaw-design-audit is a skill published in the GitHub repository openclaw/clawhub (9,526 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 410 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.
Other skills, from other repositories
unity-inspector
Advise on Unity Inspector authoring UX.
ui-designer/interaction-specification
A guide to specifying how an interface responds to user actions, including loading screens, empty results, feedback, animation, keyboard use, and screen readers.
ui-designer/component-specification
A specification for reusable interface components such as buttons, inputs, and cards. It defines their variations, sizes, and states, including hover, focus, disabled, loading, and error states.
ui-designer/design-system
A shared set of rules for a product’s visual design, covering colors, fonts, spacing, corner shapes, shadows, and animations.
pm/user-research
A user research guide for describing target users and mapping the steps, thoughts, feelings, and problems they experience while completing a task.
ui-designer/design-variants
A UI design method that creates two or three meaningfully different interface options, then compares their advantages and disadvantages.