Borrowing it
Nothing to install: this file belongs to Knuckles-Team/fan-manager. 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/Knuckles-Team/fan-manager/main/AGENTS.mdgit clone --depth 1 https://github.com/Knuckles-Team/fan-managerWrote 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/knuckles-team/fan-manager/agents-md)<a href="https://agentmods.dev/instructions/knuckles-team/fan-manager/agents-md"><img src="https://agentmods.dev/badge/instructions/knuckles-team/fan-manager/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/knuckles-team/fan-manager/agents-md"><img src="https://agentmods.dev/badge/instructions/knuckles-team/fan-manager/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 | $0.04362 | $0.04362 |
| Opus 5.5 | $0.01745 | $0.01745 |
| Sonnet 5.5 | $0.00872 | $0.00872 |
| Haiku 4.5 | $0.00436 | $0.00436 |
Grade A, and why
fan-manager 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 today.
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 — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Agent contract
Tool-neutral rules for any AI agent or human working in this repository. This block is maintained by the fleet standard; edit outside the markers.
- Owner boundary: this repository owns one external system's calls, mappings and MCP tools (spec prefix
CONN-FAN-MANAGER-); it depends on the connector SDK only. Feature routing across repositories: ecosystem boundaries. - Setup: run
scripts/bootstrap.sh. It is idempotent and non-interactive: it pins uv and Python, syncs the locked environment, installs the git hooks and prints the gate command. - Gates:
uvx pre-commit run --all-filesmust pass before you push. Do not bypass hooks to get green. - Commits: one logical change per commit with a
Spec: <ID>trailer (orSpec: none (<reason>)), plus aCo-Authored-By:trailer naming the assisting agent. Stage explicit paths only; nevergit add -Aorgit add .. Use your own configured Git identity, never a tool or bot name. - Org rules: organization AGENTS.md.
Canonical guidance for any AI coding agent or human; tool-specific entry files (for example
CLAUDE.md) only import this file. Edit this file.
Tech Stack & Architecture
- Language/Version: Python 3.11+
- Core Libraries:
agent-connector-sdk,fastmcp(viaagent-connector-sdk[mcp]),pydantic-ai - Domain: Dell PowerEdge / IPMI 2.0 control via
ipmitool+lm-sensors. Thermal (fan/temperature) runs local with no creds; the IPMI/BMC wrapper (CONCEPT:FM-OS.governance.power-chassis..008: power, sensors, SEL, SoL, BMC LAN/user config, raw) runs in-band (local/dev/ipmi0) or out-of-band over LAN (-I lanplus -H -U -P, creds from OpenBaoapps/idrac). - Key principles: Functional patterns, Pydantic for data validation, asynchronous tool execution, action-routed MCP tools.
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.
- today Changed · +12 lines · +283 tokens per session c28ae5a8e6ee
- 6d ago Changed · +8 tokens per session 4ea980e4411a
- 12d ago Changed · +4 lines · +153 tokens per session 9a7e0ec98c3e
- 15d ago Changed · +26 tokens per session dd96c604e8c9
- 1mo ago First seen · 303 lines · 3,892 tokens per session scan A e0e95b7b2437
fan-manager AGENTS.md is an instructions file published in the GitHub repository Knuckles-Team/fan-manager (2 stars, last pushed today), licensed MIT. It adds 4,362 tokens to every session, about $0.0174 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.
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).