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 analyze-performance-diagnosegit 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/analyze-performance-diagnose)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/analyze-performance-diagnose"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/analyze-performance-diagnose/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/analyze-performance-diagnose"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/analyze-performance-diagnose.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00045 | $0.00363 |
| Opus 5.5 | $0.00018 | $0.00145 |
| Sonnet 5.5 | $0.00009 | $0.00073 |
| Haiku 4.5 | $0.00005 | $0.00036 |
Grade A, and why
analyze-performance-diagnose 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
Plumbing and the why (atom)
Load: ../analyze-performance/references/diagnosis.md.
Inputs: the clean dataset; the overclaim ratio and its trend; the change log (decisions.md); push failures/disapprovals reported by run-paid-campaigns or the marketer; the competitor watch digest; research-market's "What people are saying" section (newest research/market/<D>-read.md; check its window); the promo calendar and stock notes from the brief; destination URLs of top ads.
Do:
- Plumbing: test each break signature (ratio jump/collapse, zero-conversion days with spend, ROAS spike with flat orders, LPV/click drop, UTM traffic missing). For each break: symptom, likely location, what to check, the fix when identifiable, what it blocks. Mark affected numbers suspect.
- For each metric that moved materially at equal maturity: read the change log, check noise, mix shift, breakdown effect and denominator changes, then walk the cause checklist in order. One piece of evidence per named cause; confidence; ruled-out and unconfirmed causes listed.
- Page/message match for the top 2–3 winners and losers (open the page if the host can browse; else ask for a screenshot): product, promise, offer, price, stock.
Output: the report's Plumbing and Why-it-moved sections, and mismatches to note.
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.
- 6d ago Changed fbde1307e072
- 11d ago First seen · 22 lines · 45 tokens per session scan A dbd996c47156
analyze-performance-diagnose is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,277 stars, last pushed 5d ago), licensed MIT. It adds 45 tokens to every session and 363 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-21.
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