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 matteotitta/genesys-skills --skill website-scoregit clone --depth 1 https://github.com/matteotitta/genesys-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/matteotitta/genesys-skills/website-score)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/website-score"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/website-score/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/matteotitta/genesys-skills/website-score"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/website-score.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 | $0.00031 | $0.02441 |
| Opus 5 | $0.00015 | $0.01221 |
| Sonnet 5 | $0.00006 | $0.00488 |
| Haiku 4.5 | $0.00003 | $0.00244 |
Grade A, and why
website-pm-score 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Website PM Score
Evaluate B2B SaaS websites against first-principles product marketing criteria. Generate an actionable PM Score (0-100) that identifies specific gaps and provides prioritized, wireframed recommendations. Knowledge type: website-score per .claude/rules/ontology.md.
Research substrate
Default substrate: Exa (per .claude/rules/exa-protocol.md, auto-loaded). Primary tool: web_fetch_exa for clean page extraction. Migration window: prefer plugin namespace mcp__plugin_exa_exa__web_fetch_exa once installed; legacy mcp__exa__web_fetch_exa still mounted as fallback. Citation: every Exa-derived claim uses [VERIFIED: exa_search, {url}, accessed {YYYY-MM-DD}]. Quality gate: ≥3 sources per major claim, ≥50% [VERIFIED], no fallback to WebSearch without flagging the data gap. Worked examples + tool catalog: .claude/skills/meta-skills/exa/.
When to run
Invoke when the user says: evaluate this website, score this website, website audit for [URL], PM score for [company], product marketing score, website assessment, homepage analysis, landing page audit, rate this website, what's wrong with this site, review [URL], website teardown, messaging audit. Do NOT invoke for: landing page copy writing (use /landing-page-copy), competitor research without scoring (use /competitor-research), positioning work (use /product-messaging), ICP research (use /icp-behavioural).
Two assessment modes — pick by depth needed:
- Quick — 5 categories scored, normalized to /100. Best for lead-magnet output, prospect triage, fast diagnostic.
- Full — 9 categories scored, raw /100. Best for active client engagements, comprehensive teardown, before/after planning.
Visual phase map → the premium reference. Full scoring rubric → the premium reference.
Inputs
Required:
website URL— primary site to evaluate (must be accessible/fetchable).assessment mode—Quick(5 categories) orFull(9 categories). User specifies or inferred.
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 · 155 lines · 102 tokens per session scan A f1e94e954e6b
website-pm-score is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 2,441 once invoked, about $0.0002 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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