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 me2resh/apexyard --skill geo-auditgit clone --depth 1 https://github.com/me2resh/apexyardWrote 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/me2resh/apexyard/geo-audit)<a href="https://agentmods.dev/skills/me2resh/apexyard/geo-audit"><img src="https://agentmods.dev/badge/skills/me2resh/apexyard/geo-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/me2resh/apexyard/geo-audit"><img src="https://agentmods.dev/badge/skills/me2resh/apexyard/geo-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 217 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 218 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00040 | $0.04057 |
| Opus 5 | $0.00020 | $0.02028 |
| Sonnet 5 | $0.00008 | $0.00811 |
| Haiku 4.5 | $0.00004 | $0.00406 |
Grade A, and why
geo-audit 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.
| G16 | AI-traffic fingerprint advisory | Emit a server-log analysis snippet the operator runs against access logs. User-agents to look for: `axios/1.8.4`, `curl/8.4.0`, `got`, `colly`, Playwright Chromium fingerprints. How it starts
The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/geo-audit — LLM/Agent Discoverability Audit
Deep-dive audit against the emerging GEO + AEO conventions. Checks discovery files (llms.txt, AGENTS.md), AI-crawler directives in robots.txt, capability manifests, citation-friendly metadata, snippet-extractable content shape, and token economics. Invoke when /launch-check flags the generative-engine row, or directly during docs/landing-site work.
Sibling to /seo-audit (NOT an extension). The two skills run independently:
/seo-audit— Google-shaped SEO: title, description, og, sitemap, robots.txt, schema for Googlebot/geo-audit— LLM/agent surface:llms.txt,AGENTS.md, AI-crawler directives, citation JSON-LD, token economics
/launch-check fans out to both at milestone boundaries so the production-readiness verdict covers both audiences.
Two sub-scopes — GEO and AEO
| Sub-scope | Question | Primary consumers |
|---|---|---|
| GEO (Generative Engine Optimization) | Will an LLM cite this page when a user asks? | ChatGPT, Claude.ai, Perplexity, Gemini, You.com |
| AEO (Agentic Engine Optimization) | Will a coding agent prefer this doc over its training data when coding against this product? | Claude Code, Cursor, Aider, Cline, Continue |
Both consumers read the same artefacts (llms.txt, JSON-LD metadata, AGENTS.md), so they share this audit. The findings table groups checks by bucket so an operator can read "the GEO half is fine, but AEO is missing" without re-running anything.
The skill.md naming clash — important
One of the v1 capability-signaling checks looks for skill.md at the site or project root. This is the upstream GEO/AEO capability-manifest convention — a one-page description of what a product / docs site offers, addressed at coding agents.
This skill.md is distinct from Claude Code's SKILL.md (the slash-command spec at .claude/skills/<name>/SKILL.md that this very file is an instance of). The two filenames differ only in case:
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.
- 9d ago First seen · 225 lines · 40 tokens per session scan A b25672f237e3
geo-audit is a skill published in the GitHub repository me2resh/apexyard (498 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 4,057 once invoked, about $0.0002 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 2026-08-30.
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