Borrowing it
Nothing to install: this file belongs to Cognitic-Labs/geoskills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Cognitic-Labs/geoskills/main/CLAUDE.mdgit clone --depth 1 https://github.com/Cognitic-Labs/geoskillsWrote 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/cognitic-labs/geoskills/claude-md)<a href="https://agentmods.dev/instructions/cognitic-labs/geoskills/claude-md"><img src="https://agentmods.dev/badge/instructions/cognitic-labs/geoskills/claude-md/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/instructions/cognitic-labs/geoskills/claude-md"><img src="https://agentmods.dev/badge/instructions/cognitic-labs/geoskills/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01246 | $0.01246 |
| Opus 5 | $0.00623 | $0.00623 |
| Sonnet 5 | $0.00249 | $0.00249 |
| Haiku 4.5 | $0.00125 | $0.00125 |
Grade A, and why
geoskills 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 10d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
geoskills — AI Agent Guide
Repository Overview
geoskills is a multi-skill monorepo for Generative Engine Optimization (GEO). Each skill follows the open AgentSkills standard and is compatible with Claude Code, OpenCode, OpenClaw, Codex CLI, Cursor, GitHub Copilot, and other AgentSkills-compatible agents.
Directory Structure
geoskills/
├── .gitignore
├── CLAUDE.md ← You are here
├── README.md # Monorepo-level docs
├── LICENSE
├── package.json
├── skills/
│ ├── geo-audit/ # Full GEO audit skill
│ │ ├── SKILL.md # Skill definition (frontmatter + prompt)
│ │ ├── README.md # Skill documentation
│ │ ├── references/ # Scoring rubrics, data & subagent definitions
│ │ │ ├── scoring-guide.md
│ │ │ └── agents/ # Subagent instruction files
│ │ │ ├── geo-technical.md
│ │ │ ├── geo-citability.md
│ │ │ ├── geo-schema.md
│ │ │ └── geo-brand.md
│ │ └── evals/ # Evaluation test cases
│ │ └── evals.json
│ ├── geo-fix-llmstxt/ # llms.txt generator skill
│ │ ├── SKILL.md
│ │ ├── README.md
│ │ └── references/
│ │ └── llmstxt-spec.md # llms.txt specification reference
│ ├── geo-fix-schema/ # JSON-LD schema generator skill
│ │ ├── SKILL.md
│ │ ├── README.md
│ │ └── references/
│ │ └── schema-templates.md # JSON-LD template patterns
│ ├── geo-fix-content/ # Content citability rewriter skill
│ │ ├── SKILL.md
│ │ ├── README.md
│ │ └── references/
│ │ └── hedge-words.md # Hedge language dictionary
│ ├── geo-compare/ # Competitor comparison skill
│ │ ├── SKILL.md
│ │ └── README.md
│ └── geo-monitor/ # Score tracking over time skill
│ ├── SKILL.md
│ └── README.md
└── raw/ # Research data (not a skill)
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.
- 10d ago First seen · 111 lines · 1,246 tokens per session scan A d567ccf289a8
geoskills CLAUDE.md is an instructions file published in the GitHub repository Cognitic-Labs/geoskills (25 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 1,246 tokens to every session, about $0.0062 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
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.