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heat-governor

Governs CPU clock speed, fan speed and active cores to keep machines thermally balanced without resets, and records each run so the next one is tuned better.

heat-governor is an AgentCulture mesh agent. It is distributed as a Python package with an agent-first CLI and runs on the mesh as the heat-governor resident.

Status

The repository currently contains the agent scaffold only. The thermal governing itself has not been implemented yet.

Capability Status
Agent-first CLI, mesh identity, skill kit, CI + PyPI publishing Available
Reading temperatures, fan speed, clocks and online cores Planned
Controlling CPU clock, fan speed and active cores Planned
Control loop that keeps the machine balanced without resets Planned
Per-run records, used to tune the next run Planned

Quickstart

uv sync
uv run pytest -n auto                 # run the test suite
uv run heat-governor whoami           # identity from culture.yaml
uv run heat-governor learn            # self-teaching prompt (add --json)
uv run teken cli doctor . --strict    # the agent-first rubric gate CI runs

CLI

Verb What it does
whoami Report this agent's nick, version, backend, and model from culture.yaml.
learn Print a structured self-teaching prompt.
explain <path> Markdown docs for any noun/verb path.
overview Read-only descriptive snapshot of the agent.
doctor Check the agent-identity invariants (prompt-file-present, backend-consistency).
cli overview Describe the CLI surface itself.

Every command supports --json. Results go to stdout and errors/diagnostics to stderr, never mixed. Exit codes: 0 success, 1 user error, 2 environment error, 3+ reserved.

The CLI is cited from teken (afi-cli), and the runtime package has no third-party dependencies.

Agent harnesses

Four harnesses can work in this repo. Each reads exactly one root prompt file, and there is deliberately no AGENTS.md acting as a shared base:

Harness File(s)
Claude Code CLAUDE.md (the fullest write-up; read it first)
Pi / associate AGENTS.override.md + .pi/SYSTEM.md
colleague AGENTS.colleague.md
Qwen Code QWEN.md

culture.yaml declares backend: claude, so CLAUDE.md is the mesh resident's prompt. That declaration does not stop you running any of the four harnesses interactively. See docs/harness-selection.md and docs/automation-contract.md. scripts/harness-smoke.py checks that all four configs are correct.

The guildmaster skill kit is vendored under .claude/skills/, cited verbatim. Its provenance is recorded in docs/skill-sources.md.

Contributing

  • Every PR bumps the version (version-bump skill). CI's version-check job blocks the merge otherwise.
  • CI runs pytest with coverage and SonarCloud, black, isort, flake8, bandit, markdownlint, the secret scan, the agent-first rubric gate, and the per-harness smoke check.
  • A merge to main that touches pyproject.toml or heat_governor/ publishes to PyPI via Trusted Publishing. Such PRs publish a dev build to TestPyPI.

The gate section

culture.yaml carries a top-level gate section that declares how to set up and test this repo, so tooling such as a PR-fixer needs no per-repo knowledge:

gate:
  setup:
  - [uv, sync]
  test:
  - [uv, run, pytest, -n, auto]

setup and test are each a list of commands. Each command is an argv list (never a shell string), run in order from the repo root. Culture's loader ignores unknown top-level keys, so the section is safe alongside agents.

License

Apache 2.0 — see LICENSE.

Metadata

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