Hedde/trigger_tree
6 stars · Last commit 2026-08-02
Documentation-discovery telemetry for Claude Code — heat/cold maps, health grade, evidence-backed router fixes. 100% local, zero tokens. /tt
README preview
# 🌳 trigger-tree <p align="center"><img src="https://raw.githubusercontent.com/Hedde/trigger_tree/main/assets/trigger-tree-logo.png" alt="trigger-tree logo" width="160"></p> > **Gate documentation discovery in CI. Measure whether your project instructions change what agents do.** [](https://github.com/Hedde/trigger_tree/actions/workflows/ci.yml) [](https://github.com/Hedde/trigger_tree/actions/workflows/ci.yml) [](https://github.com/Hedde/trigger_tree/releases/latest) [](https://pypi.org/project/trigger-tree/) [](docs/platform-support.md) [](docs/ci-gate.md) [](docs/heat-model.md) Two concrete offers: 1. **CI gate — immediate.** A deterministic, telemetry-free structural check fails a PR with the affected file and a suggested fix. 2. **Instruction adherence — after a few working sessions.** See whether an applicable `CLAUDE.md` directive was followed by observable behavior, and what that always-loaded instruction costs on every request. Heat maps and the A–F documentation-health grade add longer-term discovery evidence. Everything runs locally with Python’s standard library: no cloud, analytics, network calls, or model tokens while measuring.