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 Langclaw-AI-CROO/langclaw-croo-agent --skill skillgit clone --depth 1 https://github.com/Langclaw-AI-CROO/langclaw-croo-agentWrote 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/langclaw-ai-croo/langclaw-croo-agent/skill)<a href="https://agentmods.dev/skills/langclaw-ai-croo/langclaw-croo-agent/skill"><img src="https://agentmods.dev/badge/skills/langclaw-ai-croo/langclaw-croo-agent/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/langclaw-ai-croo/langclaw-croo-agent/skill"><img src="https://agentmods.dev/badge/skills/langclaw-ai-croo/langclaw-croo-agent/skill.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00092 | $0.00692 |
| Opus 5 | $0.00046 | $0.00346 |
| Sonnet 5 | $0.00018 | $0.00138 |
| Haiku 4.5 | $0.00009 | $0.00069 |
Grade A, and why
langclaw-croo-agent 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.
This is a copy
100% identical to langclaw-croo-agent — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Langclaw CROO Agent
Use this skill when Langclaw should provide source-backed research through the MCP server.
Workflow
- Use
langclaw_readinessbefore live demo or provider work. - Use
langclaw_researchfor broad research on protocols, projects, token topics, and agent ideas. - Use
langclaw_onchain_intelligencefor wallets, tokens, contracts, liquidity, TVL, transactions, bridges, governance, or protocol metrics. - Use
langclaw_verify_claimwhen the user asks whether a specific claim is supported. - Use
langclaw_builder_reviewwhen the user asks whether a project matches a builder program, hackathon, grant, or submission. - Treat low confidence output as a draft and ask for stronger provider configuration before final decisions.
Slash-Style Commands
When the user types one of these commands, call the matching Langclaw MCP tool:
/langclaw <query>: uselangclaw_commandorlangclaw_research./langclaw-research <query>: uselangclaw_commandorlangclaw_research./langclaw-onchain <query>: uselangclaw_commandorlangclaw_onchain_intelligence./langclaw-verify <claim>: uselangclaw_commandorlangclaw_verify_claim./langclaw-builder-review <project>: uselangclaw_commandorlangclaw_builder_review./langclaw-readiness: uselangclaw_commandorlangclaw_readiness.
Examples:
/langclaw-research CROO agent market fit/langclaw-onchain Base smart money last 7 days/langclaw-builder-review Review this repo for CROO/langclaw-verify Langclaw supports hosted MCP access/langclaw-readiness
Output Rules
- Keep conclusions short.
- Cite the source titles and URLs returned by the MCP tool.
- Separate facts, caveats, and recommendations.
- Do not invent provider results.
- Do not call the CROO provider unless the user asks to run or test provider flow.
- Reject requests that require signing, swaps, approvals, custody, or value transfer.
- If the user sends an onchain-style prompt through broad research, expect the core agent to auto-route it to onchain intelligence.
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 · 58 lines · 92 tokens per session scan A a65b077e6510
langclaw-croo-agent is a skill published in the GitHub repository Langclaw-AI-CROO/langclaw-croo-agent (0 stars, last pushed 2mo ago), licensed MIT. It adds 92 tokens to every session and 692 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to langclaw-croo-agent, differing in 0 lines, and is treated as a copy.
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