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-website-reviewgit 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-website-review)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/icp-website-review"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/icp-website-review/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-website-review"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/icp-website-review.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 | $0.03605 |
| Opus 5 | $0.00041 | $0.01802 |
| Sonnet 5 | $0.00016 | $0.00721 |
| Haiku 4.5 | $0.00008 | $0.00361 |
Grade A, and why
icp-website-review 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 — 470 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ICP Website Review
Evaluate any online asset through the eyes of pre-built synthetic ICP personas. This is the evaluation engine — it loads personas created by buyer-persona-generator and runs them against whatever you point it at.
Prerequisites
Personas must exist at clients/<client>/personas/personas.json. If they don't, run buyer-persona-generator first.
Quick Start
Structured scorecard (default):
Review [company]'s website using their ICP personas. Site: [url].
Freeform focus group:
Run a focus group on [company]'s new landing page: [url]. Use focus-group mode.
Head-to-head competitive:
Compare [company]'s site ([url]) against [competitor] ([url]) through ICP personas.
Inputs
| Input | Required | Source |
|---|---|---|
| Personas | Yes | clients/<client>/personas/personas.json |
| Target URL(s) | Yes | User provides |
| Mode | No | scorecard (default), focus-group, or head-to-head |
| Competitor URL(s) | For head-to-head | User provides |
| Specific pages | No | Default: homepage + key pages discovered during crawl |
| Scope | No | full-site (default) or specific page URL for a single-page review |
Modes
Mode 1: Structured Scorecard (Default)
Rigorous, dimension-by-dimension evaluation with numerical scores. Best for:
- Pre-redesign audits
- Conversion optimization
- Tracking improvement over time (comparable scores across runs)
- Stakeholder presentations (data-driven)
Mode 2: Freeform Focus Group
Each persona reacts naturally — stream of consciousness, emotional reactions, questions they'd have, things that confuse them. No rigid scoring. Best for:
- Early-stage feedback on a draft or concept
- Understanding emotional reactions and gut feelings
- Surfacing unexpected issues the scorecard dimensions might miss
- More natural, human-sounding feedback
Mode 3: Head-to-Head Competitive
Each persona evaluates your site AND a competitor's site, then picks a winner with reasoning. Best for:
- Competitive positioning
- Understanding why prospects choose competitors
- Finding specific areas where competitors outperform you
- Sales battlecard input
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 · 470 lines · 82 tokens per session scan A a272ab643589
icp-website-review 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 3,605 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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