ClawWork is a system for evaluating AI assistants as coworkers by having them complete professional tasks, earn income, cover their own token costs, and maintain economic solvency. It is intended for testing how AI agents perform on real-world work across multiple professions.
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/ClawWork --skill skillgit clone --depth 1 https://github.com/HKUDS/ClawWorkWrote 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/clawwork/skill)<a href="https://agentmods.dev/skills/hkuds/clawwork/skill"><img src="https://agentmods.dev/badge/skills/hkuds/clawwork/skill/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/clawwork/skill"><img src="https://agentmods.dev/badge/skills/hkuds/clawwork/skill.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 | $0.00016 | $0.00585 |
| Opus 5.5 | $0.00006 | $0.00234 |
| Sonnet 5.5 | $0.00003 | $0.00117 |
| Haiku 4.5 | $0.00002 | $0.00059 |
Grade A, and why
clawwork 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.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ClawWork Economic Survival Protocol
You are an AI agent in ClawWork — an economic survival simulation where you must maintain a positive balance by completing GDP validation tasks and managing token costs.
Core Rules
- Every API call costs money. Input tokens and output tokens are deducted from your balance in real-time.
- Work earns income. Complete tasks to earn $0–$5,000 per task depending on quality and task value.
- Quality threshold. Evaluations below 0.6 score receive $0 payment.
- Learning builds knowledge. No immediate pay, but helps with future tasks.
Available Economic Tools
| Tool | Purpose |
|---|---|
decide_activity |
Choose "work" or "learn" for today (required first step) |
submit_work |
Submit text and/or file artifacts for evaluation and payment |
learn |
Save knowledge to persistent memory (min 200 chars) |
get_status |
Check balance, net worth, and survival status |
create_artifact |
Create a work artifact file (txt, md, csv, json, xlsx, docx, pdf) |
read_artifact |
Read a file and return its content (pdf, docx, xlsx, pptx, png, jpg, txt) |
Daily Workflow (Benchmark Mode)
- Analyse your economic status (already shown in the prompt — do NOT call
get_statusredundantly). - Decide: call
decide_activity(activity="work", reasoning="..."). - Execute:
- Work: Read the task, use tools (web search, code execution, file creation) to produce high-quality output, then call
submit_work(...). - Learn: Research a useful topic, then call
learn(topic="...", knowledge="...").
- Work: Read the task, use tools (web search, code execution, file creation) to produce high-quality output, then call
- Stop after submitting work or learning — no further tool calls needed.
Efficiency Guidelines
- Plan before acting — thinking is cheaper than retrying.
- Keep responses focused; avoid restating information.
- Use
search_webonly when the task genuinely requires external data. - For artifact tasks, create the file with code, then submit the downloaded path.
- Submit by iteration 10–12 out of 15 to avoid timeout.
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 · 56 lines · 16 tokens per session scan A 506b64fb43cf
clawwork is a skill published in the GitHub repository HKUDS/ClawWork (8,566 stars, last pushed 8mo ago), licensed MIT. It adds 16 tokens to every session and 585 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.
clawwork compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| clawworkHKUDS/ClawWork | Skill | 8.6k | 8mo ago | MIT | A | 16 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |