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@evidtrail/cli

v1.2.1

Published

Auditable AI provenance and change signals from git — CLI and GitHub Action. An auditable ledger of AI provenance and change signals for your git repositories — honest about what git can and cannot prove.

Vulnerabilities

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Links

Git

Maintainers

francescofrancesco

Keywords

aiai-attributionprovenancegitengineering-metricsai-codingclaude-codegithub-copilotcursordevexcligithub-actions

Readme

@evidtrail/cli

Command-line interface for evidtrail — an auditable evidence ledger for AI-assisted software development.

Installation

npm install -g @evidtrail/cli

Usage

Quick start

evidtrail init      # config + commit hook + prepare script + CI workflow, nothing overwritten
evidtrail doctor    # is this clone safe to measure? shallow clone, hook, config, CI
evidtrail           # collect → analyze → report (same as `evidtrail run`)

Basic workflow

# Collect commits from last 90 days
evidtrail collect --since 90d

# Analyze collected data
evidtrail analyze

# Generate the Markdown report
evidtrail report

This workflow stays local. It records repository change signals plus declared, inferred, and missing provenance; it does not infer productivity, defects, causality, or developer performance.

To declare provenance for future commits, install the hook. Set EVIDTRAIL_MODE or configure a truthful defaultMode in .evidtrail.json; when no mode can be determined, evidtrail writes no trailer and preserves unknown.

evidtrail install-hooks

Commands

evidtrail collect

Collect commits and generate commit-stream.json

Options:

  • --repo <path> - Repository path (default: current directory)
  • --since <date> - Start date (ISO or relative like 90d)
  • --until <date> - End date (ISO or relative)
  • --scope <value> - default-branch (default) or all-refs
  • --ai-pattern <pattern> - Custom AI detection pattern (repeatable)
  • --default-branch <name> - Default branch name (auto-detect if omitted)
  • --out-dir <path> - Output directory (default: ./evidtrail-output)
  • --verbose - Verbose logging

evidtrail analyze

Analyze commit stream and generate metrics.json

evidtrail report

Generate human-readable reports from metrics

Options:

  • --out-dir <path> - Output directory containing metrics.json

Output Files

  • commit-stream.json - Normalized commit data with AI tagging
  • metrics.json - Scoped attribution, rapid-retouch, trend, and outcome metrics
  • report.md - Human-readable Markdown report

Run evidtrail --help for the complete command reference. The repository README documents metric contracts, optional GitHub PR outcomes, and GitHub Actions/GitLab CI comments.