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/AGENTS.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/agents-md)<a href="https://agentmods.dev/instructions/cognitic-labs/geoskills/agents-md"><img src="https://agentmods.dev/badge/instructions/cognitic-labs/geoskills/agents-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/agents-md"><img src="https://agentmods.dev/badge/instructions/cognitic-labs/geoskills/agents-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 | $0.01563 | $0.01563 |
| Opus 5.5 | $0.00625 | $0.00625 |
| Sonnet 5.5 | $0.00313 | $0.00313 |
| Haiku 4.5 | $0.00156 | $0.00156 |
Grade A, and why
geoskills AGENTS.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 23d 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.
This is a copy
100% identical to geoskills CLAUDE.md — 135 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 137 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
├── AGENTS.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
│ │ └── quotable-content-examples.md
│ ├── geo-compare/ # Competitor comparison skill
│ │ ├── SKILL.md
│ │ └── README.md
│ ├── geo-monitor/ # Score tracking over time skill
│ │ ├── SKILL.md
│ │ └── README.md
│ ├── seo-analytics/ # SEO analytics from GSC, Bing Webmaster Tools, and GA4
│ │ ├── SKILL.md
│ │ ├── README.md
│ │ ├── references/
│ │ │ ├── config.md
│ │ │ ├── event-model.md
│ │ │ ├── localization.md
│ │ │ └── report-outline.md
│ │ ├── scripts/
│ │ │ ├── fetch-gsc.mjs
│ │ │ ├── fetch-bing-webmaster.mjs
│ │ │ ├── fetch-ga4.mjs
│ │ │ └── lib/
│ │ │ └── cli-utils.mjs
│ │ └── evals/
│ │ └── evals.json
│ └── bing-ai-analytics/ # Bing AI Performance export analytics
│ ├── SKILL.md
│ ├── README.md
│ ├── references/
│ │ ├── export-schema.md
│ │ ├── recommendation-handling.md
│ │ └── report-outline.md
│ └── evals/
│ └── evals.json
└── 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.
- 23d ago First seen · 137 lines · 1,563 tokens per session scan A 21df645bde8c
geoskills AGENTS.md is an instructions file published in the GitHub repository Cognitic-Labs/geoskills (31 stars, last pushed 23d ago), licensed Apache-2.0. It adds 1,563 tokens to every session, about $0.0063 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to geoskills CLAUDE.md, differing in 135 lines, and is treated as a copy.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).