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 review-site-scrapergit 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/review-site-scraper)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/review-site-scraper"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/review-site-scraper/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/review-site-scraper"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/review-site-scraper.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 | $0.00052 | $0.01032 |
| Opus 5 | $0.00026 | $0.00516 |
| Sonnet 5 | $0.00010 | $0.00206 |
| Haiku 4.5 | $0.00005 | $0.00103 |
Grade A, and why
review-site-scraper scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Requires `APIFY_API_TOKEN` env var (or `--token` flag). No external dependencies needed (uses stdlib `urllib`). How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Site Scraper
Scrape product reviews from G2, Capterra, and Trustpilot using platform-specific Apify actors.
Quick Start
Requires APIFY_API_TOKEN env var (or --token flag). No external dependencies needed (uses stdlib urllib).
# Trustpilot reviews
python3 skills/capabilities/review-site-scraper/scripts/scrape_reviews.py \
--platform trustpilot \
--url "https://www.trustpilot.com/review/example.com" \
--max-reviews 10 --output summary
# G2 reviews with keyword filter
python3 skills/capabilities/review-site-scraper/scripts/scrape_reviews.py \
--platform g2 \
--url "https://www.g2.com/products/example/reviews" \
--keywords "pricing,support"
# Capterra reviews (uses company name, not URL)
python3 skills/capabilities/review-site-scraper/scripts/scrape_reviews.py \
--platform capterra \
--company-name "HubSpot CRM" \
--max-reviews 20
Supported Platforms
| Platform | Actor | Input | Cost |
|---|---|---|---|
| G2 | focused_vanguard/g2-reviews-scraper |
--url (G2 product page URL) |
Free tier available |
| Capterra | getdataforme/capterra-reviews-scraper-bulk |
--company-name (company name, not a URL) |
Pay-per-result |
| Trustpilot | agents/trustpilot-reviews |
--url (Trustpilot review page URL) |
~$0.20/1k reviews |
CLI Reference
| Flag | Default | Description |
|---|---|---|
--platform |
required | g2, capterra, or trustpilot |
--url |
none | Product review page URL (required for G2 and Trustpilot) |
--company-name |
none | Company name to search (Capterra only) |
--max-reviews |
50 | Max reviews to scrape |
--keywords |
none | Keywords to filter (comma-separated, OR logic) |
--days |
none | Only include reviews from last N days |
--output |
json | Output format: json or summary |
--token |
env var | Apify token (prefer APIFY_API_TOKEN env var) |
--timeout |
300 | Max seconds for Apify run |
Normalized Output Schema
What ships with it
2 files 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 · 121 lines · 52 tokens per session scan A 2439ba192d2e
review-site-scraper is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 52 tokens to every session and 1,032 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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