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 instructions/ijonis/geo-lint/claude-mdgit clone --depth 1 https://github.com/IJONIS/geo-lintWrote 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/instructions/ijonis/geo-lint/claude-md)<a href="https://agentmods.dev/instructions/ijonis/geo-lint/claude-md"><img src="https://agentmods.dev/badge/instructions/ijonis/geo-lint/claude-md.svg" alt="Measured on agentmods" 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 | $0.02571 | $0.02571 |
| Opus 5 | $0.01286 | $0.01286 |
| Sonnet 5 | $0.00514 | $0.00514 |
| Haiku 4.5 | $0.00257 | $0.00257 |
Grade A, and why
geo-lint CLAUDE.md 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 5d 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 — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — geo-lint
This file gives AI agents the context needed to work in this repository and to run the iterative lint-fix loop on content.
What this project is
@ijonis/geo-lint is a CLI and programmatic linter for content. It validates SEO and GEO (Generative Engine Optimization) rules and outputs structured violations that agents consume, fix, and re-lint.
Out of the box it scans Markdown/MDX files. For other formats (Astro, HTML, Nuxt, etc.), a small custom adapter script maps the content into the same shape -- see Workflow C below.
The primary use case is agentic: run the linter, read violations, fix the content, re-lint until clean.
Local dev commands
npm ci # Install dependencies (always use ci, not install)
npm run build # Compile TypeScript to dist/
npm run dev # Watch mode build
npm test # Run all tests
npm run typecheck # Type-check without emitting
npm run test:coverage # Tests with coverage report
Running the linter
# Human-readable output with ANSI colors
npx geo-lint --root=.
# Machine-readable JSON — use this in all agentic workflows
npx geo-lint --format=json --root=.
# List every rule with its fix strategy
npx geo-lint --rules
JSON output shape
Each violation is an object in a flat array:
{
"file": "blog/my-post",
"field": "body",
"rule": "geo-no-question-headings",
"severity": "warning",
"message": "Only 1/5 headings are question-formatted",
"suggestion": "Rephrase some headings as questions to improve LLM snippet extraction.",
"line": 12
}
Key fields:
file— content slug, not the full path. Resolve tocontent/<type>/<file>.mdxon disk.suggestion— plain-language fix instruction. Follow it directly when editing the file.severity— fixerrorviolations first; they produce a non-zero exit code.fixStrategy— rule-level fix pattern, available vianpx geo-lint --rules.
An empty array [] means zero violations — the content is clean.
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.
- 5d ago First seen · 250 lines · 2,571 tokens per session scan A b1b2af20047f
geo-lint CLAUDE.md is an instructions file published in the GitHub repository IJONIS/geo-lint (39 stars, last pushed 5mo ago), licensed MIT. It adds 2,571 tokens to every session, about $0.0129 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.
Other instructions, from other repositories
claude-rank CLAUDE.md
Instructions for Houseofmvps/claude-rank, covering claude-rank, project overview, architecture, tech stack and conventions.
claude-seo-geo AGENTS.md
AGENTS.md instructions for Thibaultbm/claude-seo-geo, covering using these skills outside claude code, claude code, cursor, codex, gemini cli, cline, aider and others and skill map.
pet-project-atlas CLAUDE.md
Claude Code instructions for Smolevich/pet-project-atlas, covering pet project atlas — notes for agents and not negotiable.
geoskills CLAUDE.md
Instructions for Cognitic-Labs/geoskills, covering geoskills — ai agent guide, repository overview, directory structure, skill internal structure and skill.md conventions.
notion-geo-audit CLAUDE.md
Claude Code instructions for nycsav/notion-geo-audit, covering notion-geo-audit — project guide, what this is, live surfaces (all launched, public), architecture and build / deploy.
pet-project-atlas AGENTS.md
AGENTS.md instructions for Smolevich/pet-project-atlas, a project described as: How to get your pet project found: search, AI search, content, distribution, analytics, money.