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 agentmods add skills/staruhub/crewclaw/lead-matchernpx skills add staruhub/CrewClaw --skill lead-matchergit clone --depth 1 https://github.com/staruhub/CrewClawWrote 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/staruhub/crewclaw/lead-matcher)<a href="https://agentmods.dev/skills/staruhub/crewclaw/lead-matcher"><img src="https://agentmods.dev/badge/skills/staruhub/crewclaw/lead-matcher.svg" alt="Measured on agentmods" 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 | $0.00026 | $0.00212 |
| Opus 5 | $0.00013 | $0.00106 |
| Sonnet 5 | $0.00005 | $0.00042 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
lead-matcher 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 6d 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
Lead Matcher
Overview
Turn a networking goal into a focused shortlist of Macao leads, with a clear reason each lead may matter and what to verify before outreach.
When to Use
Use when the user asks who to meet, which organizations to research, or how to prioritize contacts for Macao market entry, sales, partnerships, or events.
Workflow
- Capture the user's goal, industry, event context, geography, and preferred relationship type.
- Group leads by category: people, companies, institutions, communities, and events.
- For each lead, explain the fit, the open questions, and a low-pressure first action.
- Mark unverified facts as [verify] and do not invent titles, contact details, or relationships.
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.
- 6d ago First seen · 25 lines · 26 tokens per session scan A 267887930be9
lead-matcher is a skill published in the GitHub repository staruhub/CrewClaw (22 stars, last pushed 6d ago), licensed Apache-2.0. It adds 26 tokens to every session and 212 once invoked, about $0.0001 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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