Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/agentic-hil/agentic-hil/claude-mdgit clone --depth 1 https://github.com/agentic-hil/agentic-hilWrote 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/agentic-hil/agentic-hil/claude-md)<a href="https://agentmods.dev/instructions/agentic-hil/agentic-hil/claude-md"><img src="https://agentmods.dev/badge/instructions/agentic-hil/agentic-hil/claude-md.svg" alt="Measured on agentmods" 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 | $0.00726 | $0.00726 |
| Opus 5 | $0.00363 | $0.00363 |
| Sonnet 5 | $0.00145 | $0.00145 |
| Haiku 4.5 | $0.00073 | $0.00073 |
Grade A, and why
agentic-hil CLAUDE.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 yesterday.
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 — 26 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code when working in this repository.
Canonical agent instructions live in AGENTS.md and AI_AGENT_QUICKSTART.md. Human-facing setup and troubleshooting entry points live in README.md and TROUBLESHOOTING.md.
Project Overview
Agentic HIL is a Python MCP stdio server for safe embedded firmware development with local hardware-in-the-loop targets. It exposes narrow tools for probing, flashing, resetting, configured COM port stimulus/feedback, configured CAN bus stimulus/feedback, and reading structured reports from a configured local embedded target.
Agentic HIL discovers the project's one authoritative configuration outside the repository; AGENTIC_HIL_CONFIG is an optional absolute-path override. Mandatory workspace_root binds either file to the exact project root. If an Agentic HIL tool returns permission_denied, stop and ask the user; never bypass the config.
Use STM32 Nucleo-F446RE + ST-Link + OpenOCD + Python 3.10 or newer as the supported first path unless project files or the user clearly identify another setup.
Development
- Install:
python -m pip install -e '.[dev,can]' - Lint:
ruff check src tests evals tools - Test:
pytest - Test on all cores:
pytest -n auto, about five times faster than the single process (a minute and a half against seven and a half on fourteen cores). Not the default, so a barepyteststill runs one process. Nothing is marked serial; what a new test has to keep true for that to stay so is in CONTRIBUTING.md under "Running the suite on all cores". - Test the POSIX half from Windows:
python tools/ci_linux.py: needs Docker, runs the committed tree in a Linux container, and matches the Linux CI job. On Windows the POSIX-only tests never run, and that is where the platform bugs have been. If you cannot run it, say in the pull request which tests you did not run. - Run the agent review loop in a container:
python tools/loop_in_container.py --task "...": needs Docker, and it is how the loop should be run. On Windows the reviewer's test runs die on NTFS permissions a previous round left, Codex cannot run the suite under its own sandbox, and the POSIX half is invisible; none of that happens on Linux. It mounts this repository read-write so the commits land here, and takes every othertools/agent_review_loop.pyoption unchanged, except the four that decide what the container isolates (--repo,--codex-sandbox,--review-checkout,--review-checkout-dir), which it sets itself and refuses to forward.--codex-argis forwarded, but a payload inside it that reaches one of those four decisions (--cd,--sandbox,-c sandbox_mode=…and their short and attached spellings) is refused too, because Codex reads the last one it is given. Each agent gets a virtualenv built from the committed tree it works in, so a round that changespyproject.tomlis reviewed against the commit that changed it. - Package check:
python -m buildandtwine check dist/*
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.
- yesterday Changed · -3 tokens per session 007547ba457c
- 5d ago First seen · 26 lines · 729 tokens per session scan A 027690cd134e
agentic-hil CLAUDE.md is an instructions file published in the GitHub repository agentic-hil/agentic-hil (12 stars, last pushed yesterday), licensed Apache-2.0. It adds 726 tokens to every session, about $0.0036 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 2026-08-30.
Other instructions, from other repositories
FastLED CLAUDE.md
Claude Code instructions for FastLED/FastLED, covering fastled ai agent guidelines, read the right file for your task, key commands, core rules (all agents) and git and code publishing.
pypylon AGENTS.md
Instructions for basler/pypylon, covering agents.md, repository map, environment, common commands and or, to (re)build in place after changing bindings.
robots AGENTS.md
AGENTS.md instructions for strands-labs/robots, covering agents.md - strands-labs/robots, project dashboard, repository structure, development and install with all optional deps.
uiprotect AGENTS.md
AGENTS.md instructions for uilibs/uiprotect, covering notes for llm contributors, what this project is, code style, commit / pr conventions and running tests.
mirage CLAUDE.md
Claude Code instructions for strukto-ai/mirage, covering claude.md, repo layout, typescript packages, python/typescript parity and module layout.
iaqualink-py CLAUDE.md
Claude Code instructions for flz/iaqualink-py, covering claude.md, confidentiality, project overview, development commands and architecture.