Borrowing it
Nothing to install: this file belongs to redhat-community-ai-tools/igloo-mcp. 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/redhat-community-ai-tools/igloo-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/redhat-community-ai-tools/igloo-mcpWrote 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/redhat-community-ai-tools/igloo-mcp/agents-md)<a href="https://agentmods.dev/instructions/redhat-community-ai-tools/igloo-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/redhat-community-ai-tools/igloo-mcp/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/redhat-community-ai-tools/igloo-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/redhat-community-ai-tools/igloo-mcp/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 | $0.00361 | $0.00361 |
| Opus 5.5 | $0.00144 | $0.00144 |
| Sonnet 5.5 | $0.00072 | $0.00072 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
igloo-mcp 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 2mo 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.
What it actually says
AGENTS.md
Project Overview
This is an MCP (Model Context Protocol) server that provides AI assistants with search and content retrieval capabilities for Igloo digital workplace instances.
MCP is a standardized protocol that allows AI models to interact with external data sources and tools through a consistent interface.
The server exposes four tools to MCP clients:
search_content- Search Igloo content with filters (applications, dates, parent paths)fetch_content- Retrieve pages and convert HTML to Markdown for LLM consumptionsearch_members- Search for members by namefetch_members- Get detailed member profiles by ID
For installation, configuration, and usage details, see README.md.
Project Development Requirements
- Python 3.12+ required
- uv (package manager)
Development Commands
uv sync- Install dependencies and create.venv/uv run pytest- Run all testsigloo-mcp- Run the MCP server (afteruv sync)
Entry Points
igloo_mcp/main.py- FastMCP server setup, tool definitionsigloo_mcp/igloo.py-IglooClientclass for Igloo API communicationigloo_mcp/config.py- Pydantic configuration with environment/CLI support
Testing
- Mock data files are in
tests/tests_data/mock_data/ - Use
mocker.patch.object()withnew_callable=mocker.AsyncMockfor async HTTP mocking - Run
uv run pytestbefore committing - all tests must pass
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.
- 2mo ago First seen · 39 lines · 361 tokens per session scan A 6017fdb0b369
igloo-mcp AGENTS.md is an instructions file published in the GitHub repository redhat-community-ai-tools/igloo-mcp (4 stars, last pushed 2mo ago), licensed MIT. It adds 361 tokens to every session, about $0.0014 per session on Opus 5.5. 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.
igloo-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| igloo-mcp AGENTS.mdredhat-community-ai-tools/igloo-mcp | Instructions file | 4 | 2mo ago | MIT | A | 361 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |