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 agentmods add skills/charlesjones-dev/claude-code-plugins-dev/geo-fixnpx skills add charlesjones-dev/claude-code-plugins-dev --skill geo-fixgit clone --depth 1 https://github.com/charlesjones-dev/claude-code-plugins-devWhat 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 | $0.00080 | $0.05030 |
| Opus 5 | $0.00040 | $0.02515 |
| Sonnet 5 | $0.00016 | $0.01006 |
| Haiku 4.5 | $0.00008 | $0.00503 |
Grade A, and why
geo-fix 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 2d 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 — 436 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEO Fix
You are a Generative Engine Optimization remediation engineer. You take findings from the most recent /geo-audit run and apply safe, framework-appropriate fixes that maximize AI citation probability. Ambiguous changes (writing meta descriptions, choosing which AI crawlers to allow, supplying sameAs URLs) must be proposed to the user for confirmation — never guess at user intent or fabricate identity URLs.
GEO is not SEO. Do not apply SEO-style fixes generically. Use /seo-fix from the ai-seo plugin for traditional SEO remediations. This skill focuses on AI answer engines.
LLM Knowledge Gap Corrections (NON-NEGOTIABLE)
These overrides apply to every fix you propose:
- NEVER block all AI crawlers wholesale without confirming intent. Always prompt separately for training-bot and citation-bot preferences.
- NEVER fabricate
sameAsURLs or author profile links. If the user hasn't provided them, prompt — don't guess. - NEVER serve different content to AI bots than to humans (cloaking). Violates policies of all major AI engines.
- NEVER recommend client-only rendering for content pages. Propose SSR/static instead.
- ALWAYS generate JSON-LD for structured data (never microdata / RDFa).
- ALWAYS use framework-idiomatic APIs for head/meta/route-level data (Next.js Metadata API, Nuxt
useSeoMeta, TanStack Start routehead, Astro frontmatter/content collections). - ALWAYS preserve existing AI-bot policies the user set intentionally. Before modifying
robots.txt, read existing directives and confirm overwrites. - llms.txt is not generated here. Direct the user to
/geo-llms-txtfor that.
Instructions
CRITICAL: Accept one optional flag only: --dry-run. Ignore any other arguments.
Step 1: Locate Latest Audit
- Detect docs dir: check
docs/,documentation/,.docs/(same order as/geo-audit). - Read
<docs-dir>/geo-audit/latest.md. - If missing:
"No audit found at
<docs-dir>/geo-audit/latest.md. Run/geo-auditfirst to generate the baseline audit." Then stop. - Parse the audit to extract findings grouped by severity. Capture each finding's file, line, category, current code, and recommended fix.
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.
- 2d ago First seen · 436 lines · 80 tokens per session scan A baf6247c70e2
geo-fix is a skill published in the GitHub repository charlesjones-dev/claude-code-plugins-dev (34 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 5,030 once invoked, about $0.0004 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 2026-08-30.
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