Borrowing it
Nothing to install: this file belongs to sagar-shirwalkar/collibra-atlas. 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/sagar-shirwalkar/collibra-atlas/main/AGENTS.mdgit clone --depth 1 https://github.com/sagar-shirwalkar/collibra-atlasWrote 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/sagar-shirwalkar/collibra-atlas/agents-md)<a href="https://agentmods.dev/instructions/sagar-shirwalkar/collibra-atlas/agents-md"><img src="https://agentmods.dev/badge/instructions/sagar-shirwalkar/collibra-atlas/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/sagar-shirwalkar/collibra-atlas/agents-md"><img src="https://agentmods.dev/badge/instructions/sagar-shirwalkar/collibra-atlas/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 | $0.02964 | $0.02964 |
| Opus 5 | $0.01482 | $0.01482 |
| Sonnet 5 | $0.00593 | $0.00593 |
| Haiku 4.5 | $0.00296 | $0.00296 |
Grade A, and why
collibra-atlas 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 11d 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 — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Collibra Atlas — Agent Guide
This file tells AI agents how to work effectively on this project.
Project in Brief
Collibra Atlas is a local-first AI knowledge layer for Collibra documentation exposed via two MCP servers:
collibra-fs— deterministic, ripgrep-backed filesystem server (verbatim citations).collibra-rag— semantic search over a precomputed embedding bundle.
The bundle is built once by the maintainer, distributed via GitHub Releases, and consumed by end users with zero embedding work.
Language: Python 3.11+ · Package manager: uv · Test framework: pytest
Skill Catalog
The project ships skills under .agents/skills/. Most are available for
the agent to invoke autonomously; a few are user-invoked only and
must not be used unless the user explicitly names them.
| Skill | Invocation | Purpose |
|---|---|---|
atlas-creation |
model-invoked | Build the dual MCP server system for any markdown corpus |
collibra-docs-nav |
model-invoked | Navigate Collibra developer docs, crawl llms.txt, clean GitBook syntax, plan Atlas build |
web-browsing |
model-invoked | Search the web and extract page content |
code-review |
model-invoked | Review diffs, PRs, and code changes |
debugging |
model-invoked | Diagnose test failures, crashes, unexpected behaviour |
python-patterns |
model-invoked | Pythonic idioms, type hints, best practices |
python-testing |
model-invoked | pytest, TDD, fixtures, mocking, parametrization |
readme-writing |
model-invoked | Create, rewrite, or audit README / documentation |
agent-handoff |
model-invoked | Compact conversation into a handoff document |
embedding-strategies |
model-invoked | Select and optimize embedding models for semantic search and RAG |
eval-driven-dev |
model-invoked | Set up eval-driven dev with pixie-qa for Python LLM apps |
security-review |
model-invoked | Security vulnerability scan for codebases — injection, auth, crypto, secrets, deps |
skill-compliance |
model-invoked | Audit skill compliance across 6 dimensions |
skill-writing |
user-invoked | Reference for writing/editing skills. Do not invoke unless the user explicitly names this 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.
- 11d ago First seen · 279 lines · 2,964 tokens per session scan A 37d343d0c616
collibra-atlas AGENTS.md is an instructions file published in the GitHub repository sagar-shirwalkar/collibra-atlas (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 2,964 tokens to every session, about $0.0148 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 2026-08-31.
Other instructions, from other repositories
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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).
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.
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).