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 OneWave-AI/claude-skills --skill icp-deep-scannergit clone --depth 1 https://github.com/OneWave-AI/claude-skillsWrote 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/onewave-ai/claude-skills/icp-deep-scanner)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/icp-deep-scanner"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/icp-deep-scanner/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/onewave-ai/claude-skills/icp-deep-scanner"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/icp-deep-scanner.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 | $0.00090 | $0.01632 |
| Opus 5 | $0.00045 | $0.00816 |
| Sonnet 5 | $0.00018 | $0.00326 |
| Haiku 4.5 | $0.00009 | $0.00163 |
Grade A, and why
icp-deep-scanner 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 9d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ICP Deep Scanner
Turn the data already sitting in your connected tools into a rigorous, evidence-backed Ideal Customer Profile (ICP) and a library of buyer personas. Most ICPs are invented in a slide deck. This one is reverse-engineered from your actual best customers, your won/lost deals, your support tickets, and your reviews — then written so it can drive real decisions and feed the panel skills.
This skill is the data layer beneath customer-panel-of-experts, prospect-panel-simulator, and product-launch-war-room. Run it first; those skills read the persona library it writes.
Operating principles (read first)
- Read-only by default. You may query and read connected sources. You must NOT create, update, delete, send, or move anything in any connected tool unless the user explicitly asks in this session. Before any write or outbound action, stop and confirm.
- Least data necessary. Pull aggregates and representative samples, not entire databases. You are building a profile, not exfiltrating a CRM.
- PII minimization. Persona artifacts are archetypes, not dossiers. Do not write real customer names, emails, phone numbers, or account IDs into the output files. Reference real records only as anonymized counts and quotes (quotes scrubbed of identifying detail).
- Secrets via environment only. Never read, print, or write credentials. Assume tokens live in environment variables (e.g.
$SUPABASE_TOKEN,$OPENAI_API_KEY) or in the MCP connection itself. If a source needs auth that isn't present, list it under "Sources I could not reach" and continue. - Cite the evidence. Every claim in the ICP must trace to a source. "Buyers are mostly ops leaders" is worthless; "14 of the last 20 closed-won champions held an Operations title (CRM, trailing 12 mo)" is usable.
Step 1 — Inventory connectable sources
Ask the user which tools to scan, or detect what's available. Map each to what it tells you:
| Source (examples) | What to extract | How to reach it |
|---|---|---|
| CRM (HubSpot, Salesforce, internal) | Closed-won vs closed-lost firmographics, titles of champions/buyers, deal size, sales cycle, win reasons | MCP connector or read-only API |
| Email / calendar | Who actually engages, meeting cadence, recurring objection language | Gmail/Calendar MCP, read-only |
| Support / tickets / chat | Top pain themes, words customers use, where they get stuck | Intercom/Zendesk export, logs |
| Reviews (G2, Capterra, Trustpilot, App Store) | Verbatim value language, switching triggers, deal-breakers | WebFetch / customer-review-aggregator |
| Product analytics (GA4, Clarity, Mixpanel) | Activation paths, who sticks, drop-off points | Analytics MCP / API |
| Billing (Stripe, Mercury) | Real revenue concentration, expansion vs churn by segment | Read-only API |
| Database (Supabase/Postgres) | Ground-truth usage and cohort behavior | Read-only SQL via $SUPABASE_TOKEN |
| Public web | Firmographic enrichment, market sizing, competitor positioning | WebSearch / WebFetch |
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.
- 9d ago First seen · 113 lines · 90 tokens per session scan A 7f320652dfc6
icp-deep-scanner is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 90 tokens to every session and 1,632 once invoked, about $0.0005 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 2026-09-03.
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