OpenOPC is a system for building and operating an AI-run company, where specialized AI workers are recruited, assigned tasks, and organized into roles. It is for people who want automated task delegation, collaboration, and organizational learning through AI agents.
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 HKUDS/OpenOPC --skill clawhubgit clone --depth 1 https://github.com/HKUDS/OpenOPCWrote 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/hkuds/openopc/clawhub)<a href="https://agentmods.dev/skills/hkuds/openopc/clawhub"><img src="https://agentmods.dev/badge/skills/hkuds/openopc/clawhub/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/hkuds/openopc/clawhub"><img src="https://agentmods.dev/badge/skills/hkuds/openopc/clawhub.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, 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 Rogue Agent · line 15 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- medium MCP Rug Pull · line 22 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 30 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 40 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 46 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 61 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 | $0.00037 | $0.00434 |
| Opus 5.5 | $0.00015 | $0.00174 |
| Sonnet 5.5 | $0.00007 | $0.00087 |
| Haiku 4.5 | $0.00004 | $0.00043 |
Grade A, and why
clawhub 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.
What it actually says
ClawHub
Public skill registry for AI agents. Search by natural language (vector search).
When to use
- You encounter an unfamiliar domain or technology and need guidance
- The user asks to find, search, install, or update skills
- You need specialized knowledge that existing skills don't cover
- A task requires capabilities beyond your current skill set
Search
npx --yes clawhub@latest search "web scraping" --limit 5
Install
Install skills into the current project's skill directory:
npx --yes clawhub@latest install <slug> --workdir .opc/projects/<project_id>
Replace <slug> with the skill name from search results and <project_id> with the current project ID. This places the skill into .opc/projects/<project_id>/skills/<slug>/SKILL.md.
After install, read the installed SKILL.md with file_read to apply its guidance immediately.
Update
npx --yes clawhub@latest update --all --workdir .opc/projects/<project_id>
List installed
npx --yes clawhub@latest list --workdir .opc/projects/<project_id>
Workflow
- Search for relevant skills with a descriptive query
- Review search results and pick the best match
- Install the skill into the project directory
- Read the installed SKILL.md with
file_read - Follow the skill's instructions for the current task
Notes
- Requires Node.js (
npxcomes with it). - No API key needed for search and install.
- Login (
npx --yes clawhub@latest login) is only required for publishing. --workdirmust point to the project directory so skills install correctly.
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 · 63 lines · 37 tokens per session scan A 5ffdc0202183
clawhub is a skill published in the GitHub repository HKUDS/OpenOPC (1,852 stars, last pushed 8d ago), licensed MIT. It adds 37 tokens to every session and 434 once invoked, about $0.0001 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.
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