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See which project docs your AI coding agent actually discovers — local, zero-token documentation telemetry.

Project description

🌳 trigger-tree

trigger-tree logo

See which project docs your AI actually discovers.

CI coverage release PyPI platforms docs discoverability docs health

Real terminal recording of the live trigger-tree dashboard: doc reads pulse through the tree, sorting, prompt browsing, and the privacy settings panel

  • Local and dependency-free: no cloud, analytics, or model tokens.
  • Separate heat, lifetime reads, searches, and untouched paths instead of guessing intent.
  • Reduce the evidence to an A–F documentation health grade when detail is unnecessary.

Documentation steers an AI coding assistant toward your team’s patterns and guardrails. But a rule that is never read protects nothing. trigger-tree records discovery evidence so you can improve the routes without pretending a read proves understanding.

Quick start

Claude Code Codex
/plugin marketplace add Hedde/trigger_tree
/plugin install trigger-tree@trigger-tree
/reload-plugins
/tt watch demo
/tt setup · /tt doctor
Work normally, then /tt insights
codex plugin marketplace add Hedde/trigger_tree
codex plugin add trigger-tree@trigger-tree
Restart Codex
Ask it to run python3 "$PLUGIN_ROOT/scripts/tt-watch.py" --demo
Use the bundled trigger-tree skill for setup, doctor, and insights

The Claude /tt skill is explicitly user-triggered. Codex installs the equivalent skill and lifecycle hooks through its plugin marketplace.

Prefer a standalone CLI — for CI, git-hook ingestion, or dashboards without a plugin? pipx install trigger-tree (or uvx --from trigger-tree tt), then tt doctor, tt watch --demo, tt stats.

Before a project runs setup, prompt logging stores only a short hash — plugin installs are user-wide, so no repository records prompt text without its own explicit choice. /tt setup asks per project: truncate (recommended, recognizable 200-character previews), hash, or off.

Who gets what?

You are… trigger-tree gives you…
Senior developer File/folder heat, search evidence, router gaps, and prompt-level browsing
Tech lead Trends, task clusters, protected-context review, and evidence-backed fixes
Product owner One honest A–F docs-health signal, provisional until measurement matures

Commands

Command Result
/tt watch demo Instant synthetic dashboard; no telemetry required
/tt setup [truncate|hash|off] Wire the repo and choose prompt privacy
/tt doctor Check hooks, liveness, scope, privacy, and statusline wiring
/tt status Current heat, lifetime reads, and untouched paths
/tt watch Live mock-TUI dashboard with prompt browsing and sorting
/tt insights Deterministic analysis plus a local HTML report
/tt suggestions Up to five evidence-backed routing improvements
/tt badge Write a public-safe docs-health endpoint JSON
/tt note <text> Add a local timeline annotation
/tt gate Deterministic discoverability score; gate CI on regressions
/tt uninstall Remove wiring without deleting telemetry

Search telemetry is a conservative lower bound; see measurement boundaries.

How it works

  1. Hooks log shell-side to the gitignored .trigger-tree/history.jsonl; failures never interrupt the coding session.
  2. A deterministic aggregator computes every metric with Python’s standard library; the model interprets but never counts.
  3. Discovery remains model-driven: trigger-tree measures your routers and reads without injecting context or changing routing.

Gate your CI on discoverability

The gate scores repository structure only — router coverage, orphaned docs, folder entry points, watch scope — so it is deterministic, needs no telemetry, and uploads nothing. Discoverable never means discovered; read telemetry stays local.

- uses: Hedde/trigger_tree@v1.21.0   # or: pip install trigger-tree && tt gate

Commit a baseline once with tt gate --update-baseline and every PR that makes your docs harder to discover fails with the exact file and fix. Findings export as SARIF for code-scanning annotations. The gate checks the wiring, not the words: whether your CLAUDE.md actually instructs agents to follow the routers is proven by local telemetry, not by the gate. Boundaries and details: CI gate.

Where it fits

Category Question answered
Token/trace observability (Langfuse, Arize, W&B) What did the model call, spend, and produce?
Documentation linters Is documentation structurally or stylistically valid?
trigger-tree Which local project docs did the coding assistant actually discover?

The categories complement each other. trigger-tree does not evaluate answer quality or claim that a read caused an outcome.

Learn more

Documentation router · Dashboard · Heat model · Configuration · Privacy · Glossary · FAQ · Website · Changelog

MIT © Hedde van der Heide

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