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 Infinite-Labs-AI/infinite-skills --skill cro-auditgit clone --depth 1 https://github.com/Infinite-Labs-AI/infinite-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/infinite-labs-ai/infinite-skills/cro-audit)<a href="https://agentmods.dev/skills/infinite-labs-ai/infinite-skills/cro-audit"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/cro-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/infinite-labs-ai/infinite-skills/cro-audit"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/cro-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 | $0.00035 | $0.00538 |
| Opus 5.5 | $0.00014 | $0.00215 |
| Sonnet 5.5 | $0.00007 | $0.00108 |
| Haiku 4.5 | $0.00003 | $0.00054 |
Grade A, and why
cro-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 1mo 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CRO Audit
Find the points on a page or flow where visitors lose clarity, trust, interest, or momentum.
Inspect The Page
Use the provided URL, screenshot, copy, or code. If the surface is live, inspect desktop and mobile when possible.
Capture:
- Visitor source and intent.
- Main promise above the fold.
- CTA text, count, and location.
- Form or checkout effort.
- Proof and trust elements.
- Objections addressed or ignored.
- Visual hierarchy and reading order.
- Mobile readability and tap targets.
- Load or rendering issues that affect the decision.
Analyze Friction
Classify each issue:
- Message friction: reader cannot tell what it is, who it is for, or why it matters.
- Trust friction: claim is bigger than proof.
- Choice friction: too many actions or unclear next step.
- Effort friction: form, onboarding, or checkout asks too much too early.
- Timing friction: the ask appears before the reader has enough confidence.
- Mismatch friction: page does not match the traffic promise.
- Technical friction: speed, layout, accessibility, broken states.
Follow The Visitor Decision
Map the page as a decision path:
- Seeing: does the visitor immediately know what this is?
- Believing: does the promise match their intent and feel specific?
- Trusting: is the proof strong enough for the ask?
- Acting: is the next step obvious, low-friction, and appropriately timed?
For each fix, note whether it is reversible. Prefer reversible copy, layout, and proof changes before deep product or pricing changes unless the evidence is strong.
Recommend Changes
Prioritize by likely impact and effort. Include concrete replacement copy or layout changes when useful.
Avoid pretending all pages need the same pattern. A pricing page, waitlist, checkout, and enterprise demo page have different jobs.
Output
Page friction read:
[one paragraph]
Conversion path:
Visitor intent -> Page promise -> Proof -> Action
Hesitation sequence:
Seeing -> Believing -> Trusting -> Acting
Friction log:
| Step | Problem | Evidence | Fix | Reversible | Impact | Effort |
Highest-leverage changes:
1. [change]
2. [change]
3. [change]
Copy replacements:
- Current: [text]
Replace with: [text]
Test next:
- [experiment or measurement]
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.
- 1mo ago First seen · 82 lines · 35 tokens per session scan A 03b8db625382
cro-audit is a skill published in the GitHub repository Infinite-Labs-AI/infinite-skills (44 stars, last pushed 2mo ago), licensed MIT. It adds 35 tokens to every session and 538 once invoked, about $0.0001 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.
Other skills, from other repositories
follow-loop
A manually triggered research workflow that gathers evidence about selected technology and luxury topics, then sends verified findings to long-term records.
pr-consumer-research
A skill for turning existing consumer, market, competitor, voice-of-customer, or product-test evidence into public-relations decisions. It links research findings to what a company can safely say in public and what it should do next.
consumer-research
A consumer research skill for studying what people buy, prefer, and say about consumer products. It helps plan studies and turn findings into useful insights.
industry-research
A skill for researching an industry and producing decision-focused analysis. It covers markets, customers, technology, costs, competitors, channels, supply chains, policy, investment, and risks.
hot-public-opinion-analysis
A public-opinion analysis skill for examining trending events, widely discussed news, industry disputes, competitor incidents, policy changes, negative narratives, rumours, and social topics.
judgment-hub
A decision-making skill for public-relations situations that require a final call, risk trade-offs, task routing, or strategic judgment.