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 krillinai/growth-skills --skill landing-page-auditgit clone --depth 1 https://github.com/krillinai/growth-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/krillinai/growth-skills/landing-page-audit)<a href="https://agentmods.dev/skills/krillinai/growth-skills/landing-page-audit"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/landing-page-audit/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/krillinai/growth-skills/landing-page-audit"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/landing-page-audit.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 | $0.00098 | $0.01599 |
| Opus 5.5 | $0.00039 | $0.00640 |
| Sonnet 5.5 | $0.00020 | $0.00320 |
| Haiku 4.5 | $0.00010 | $0.00160 |
Grade A, and why
landing-page-audit 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 2mo 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Landing Page Audit
Diagnose whether a bounded entry page helps the intended visitor understand the promise, trust the evidence, take a qualified next action, and continue toward first and retained value. Begin from public page evidence; analytics, session recordings, experiments, CRM, sales, or revenue data are optional. Missing private evidence is unavailable, never a deduction.
Read audit-contract.md before inspecting or scoring. Read evidence-and-scoring.md before assigning findings, points, coverage, priority, or tests. Read html-report.md only when HTML is requested. Use playbook-sources.md for the pinned Growth Playbook basis.
Select One Mode
| Mode | Use |
|---|---|
page |
Audit one page and its declared audience, source, intent, action, and downstream path |
journey |
Audit a bounded source-message-page-form-or-checkout-next-value sequence |
comparison |
Compare variants or competitor pages under the same audience, intent, market, device, date, and evidence card |
incident |
Diagnose a reported conversion decline or break with dated compatible evidence |
Name one primary mode. Treat a performance symptom stated in conversation as reported signal until attributable dated evidence verifies it.
Freeze The Audit Contract
Record decision and owner; canonical URL; product and page type; audience, job, trigger, intent, lifecycle state, and exclusions; source, campaign, keyword, creative, or referrer when known; market, language, locale, device and viewport; promise, offer, proof, CTA, commitment, form or checkout, and downstream next value; capture and report date; capabilities; supplied evidence; private evidence; requested output; and external-action boundary.
Audit the actual entry page, not the homepage by default. Keep source-message continuity unavailable when the source artifact is not supplied or inspectable.
What ships with it
4 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.
- 2mo ago First seen · 95 lines · 98 tokens per session scan A 6ef1d81300d3
landing-page-audit is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 2mo ago), licensed MIT. It adds 98 tokens to every session and 1,599 once invoked, about $0.0004 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 2026-08-30.
landing-page-audit compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| landing-page-auditkrillinai/growth-skills | Skill | 43 | 2mo ago | MIT | A | 98 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |