Borrowing it
Nothing to install: this file belongs to riccardovietri/thermal-mcp-server. 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/riccardovietri/thermal-mcp-server/main/AGENTS.mdgit clone --depth 1 https://github.com/riccardovietri/thermal-mcp-serverWrote 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/riccardovietri/thermal-mcp-server/agents-md)<a href="https://agentmods.dev/instructions/riccardovietri/thermal-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/riccardovietri/thermal-mcp-server/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/riccardovietri/thermal-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/riccardovietri/thermal-mcp-server/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 | $0.00431 | $0.00431 |
| Opus 5.5 | $0.00172 | $0.00172 |
| Sonnet 5.5 | $0.00086 | $0.00086 |
| Haiku 4.5 | $0.00043 | $0.00043 |
Grade A, and why
thermal-mcp-server 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 — thermal-mcp-server
AI agent instructions for Codex, Claude Code, and other coding agents.
Primary instruction files
Read these before making changes:
CLAUDE.md— project workflow, physics modeling rules, test conventions, and agent instructionsdocs/decisions.md— durable architectural decisions (ROI separation, physics-change protocol, etc.)docs/physics.md— full physics derivation, assumptions, and documented limitations
CLAUDE.md is the authoritative source for this repo. This file exists to ensure Codex discovers it via the AGENTS.md search path.
Architecture in 30 seconds
schemas.py ← Pydantic I/O models
physics.py ← All math (no business logic)
decision_report.py ← Synthesis layer (composes physics APIs, no new math)
mcp_server.py ← FastMCP tool wrappers (thin — no physics or synthesis here)
Five MCP tools: analyze_coldplate, compare_coolants, optimize_flow_rate,
analyze_rack, generate_decision_report.
Physics change protocol (enforced)
- Document justification in
docs/physics.md - Add a test in
tests/test_physics_behavior.py - If changing defaults or correlation constants, add a hand-calculation validation test
Test conventions
pytest # run all tests
pytest -v # verbose
tests/test_physics_behavior.py— behavioral + numerical; keep tolerances tighttests/test_mcp_tools.py— MCP layer contract teststests/test_decision_report.py— decision synthesis tests
What NOT to do
- Do not add physics to
mcp_server.pyordecision_report.py - Do not add ROI/financial calculations to this repo (see
docs/decisions.md) - Do not weaken hand-calculation validation tests
- Do not change geometry defaults or coolant properties without a hand-calc update
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 · 51 lines · 431 tokens per session scan A e9453853055f
thermal-mcp-server AGENTS.md is an instructions file published in the GitHub repository riccardovietri/thermal-mcp-server (1 stars, last pushed 1mo ago), licensed MIT. It adds 431 tokens to every session, about $0.0017 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.
thermal-mcp-server AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| thermal-mcp-server AGENTS.mdriccardovietri/thermal-mcp-server | Instructions file | 1 | 1mo ago | MIT | A | 431 | 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 |