Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.
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 gooseworks-ai/goose-skills --skill icp-identificationgit clone --depth 1 https://github.com/gooseworks-ai/goose-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/gooseworks-ai/goose-skills/icp-identification)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/icp-identification"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/icp-identification/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/gooseworks-ai/goose-skills/icp-identification"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/icp-identification.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 | $0.00082 | $0.02236 |
| Opus 5 | $0.00041 | $0.01118 |
| Sonnet 5 | $0.00016 | $0.00447 |
| Haiku 4.5 | $0.00008 | $0.00224 |
Grade A, and why
icp-identification 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ICP Identification
Research a company or idea, define the Ideal Customer Profile, and route to the right next step. This is the entry point for any "find me leads" or "map my market" request — it sits upstream of all lead-finding and TAM-building skills and ensures we understand the business, define the target, and pick the right approach before executing.
When to Auto-Load
- User says "find me leads", "help me find prospects", "who should I sell to", or similar
- User provides a company URL and asks for leads/prospects
- User describes an idea/product and wants to find customers
- User asks "who is my ICP?" or "help me define my target market"
- User asks to "map my TAM", "size my market", or "build a target account list"
Phase 0: Gather Context
When triggered, collect these inputs from the user:
- Company URL or describe your idea/product
- What does the product/service do? (skip if URL provided — we'll research)
- Who are your current customers? (if any — ask for specific company names, titles of buyers/champions, and how they found the product. These examples calibrate search filters far better than abstract descriptions.)
- What's your price point / deal size? (helps determine buyer seniority)
- Who is NOT a fit? — Ask about industries, company types, company sizes, or roles that are explicitly wrong for this product. Prompt with examples: "Are there industries that definitely don't work? Company sizes too small or too large? Titles that look right but never buy?" Even rough exclusions prevent noisy search results downstream.
If the user provides a company URL, research it using web tools before asking follow-up questions. Don't ask questions you can answer from the website.
Intake principle: Every answer here should help you populate a search filter (title, industry, headcount range, region) or an exclusion filter (titles to skip, industries to ignore, company types to avoid). If a user's answer is too vague to become a filter value, probe deeper. Don't ask generic strategy questions — ask questions that sharpen the search.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 171 lines · 82 tokens per session scan A 0572a414ae74
icp-identification is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 82 tokens to every session and 2,236 once invoked, about $0.0004 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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