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AI Use Collector - Lunar Collector

AI Use Collector

Collector Experimental Code AnalysisCi Cd

Track AI coding assistant usage across your organization. Collect agent instruction files (AGENTS.md, CLAUDE.md, GEMINI.md), plans directories, CI tool invocations, and AI authorship annotations from commits.

Add ai-use to your lunar-config.yml:
uses: github://earthly/lunar-lib/collectors/ai-use@v1.0.0

What This Integration Collects

This integration includes 6 collectors that gather metadata from your systems.

Collector code

instruction-files

Discovers all agent instruction files (AGENTS.md, CLAUDE.md, GEMINI.md, CODEX.md) across the repository using a configurable find command. Records each file's path, line count, byte size, markdown section headings, and symlink status. Groups files by directory for per-directory policy checks.

agents.md claude.md ai instructions agent context coding assistant
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Collector code

plans-dir

Checks whether a dedicated plans directory exists for AI agent task planning. Tries candidate paths in order (first match wins). Records the directory path and file count.

ai plans agent planning task management
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Collector ci-after-command

ai-cli-ci-claude

Detects Claude Code CLI invocations in CI pipelines. Records the command string and version for policy-level flag analysis.

claude claude code ai ci ci safety
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Collector ci-after-command

ai-cli-ci-codex

Detects OpenAI Codex CLI invocations in CI pipelines. Records the command string and version for policy-level flag analysis.

codex openai ai ci ci safety
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Collector ci-after-command

ai-cli-ci-gemini

Detects Google Gemini CLI invocations in CI pipelines. Records the command string and version for policy-level flag analysis.

gemini google ai ci ci safety
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Collector code

ai-authorship

Collects AI authorship annotation data from commits. Supports the Git AI standard (refs/notes/ai) for line-level tracking and git trailers (AI-model, AI-tokens) as a lightweight fallback. Records annotation coverage across commits in scope.

ai authorship git ai code attribution ai tracking git notes
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How Collectors Fit into Lunar

Lunar watches your code and CI/CD systems to collect SDLC data from config files, test results, IaC, deployment configurations, security scans, and more.

Collectors are the automatic data-gathering layer. They extract structured metadata from your repositories and pipelines, feeding it into Lunar's centralized database where guardrails evaluate it to enforce your engineering standards.

Learn How Lunar Works
1
Collectors Gather Data This Integration
Triggered by code changes or CI pipelines, collectors extract metadata from config files, tool outputs, test results, and scans
2
{ } Centralized as JSON
All data merged into each component's unified metadata document
3
Guardrails Enforce Standards
Real-time feedback in PRs and AI workflows

Example Collected Data

This collector writes structured metadata to the Component JSON. Here's an example of the data it produces:

{ } component.json Component JSON
{
  "ai_use": {
    "instructions": {
      "root": {
        "exists": true,
        "filename": "AGENTS.md",
        "lines": 85,
        "bytes": 3200,
        "sections": ["Project Overview", "Architecture", "Build Commands", "Testing"]
      },
      "all": [
        {
          "path": "AGENTS.md",
          "dir": ".",
          "filename": "AGENTS.md",
          "lines": 85,
          "bytes": 3200,
          "sections": ["Project Overview", "Architecture", "Build Commands", "Testing"],
          "is_symlink": false,
          "symlink_target": null
        },
        {
          "path": "CLAUDE.md",
          "dir": ".",
          "filename": "CLAUDE.md",
          "lines": 85,
          "bytes": 3200,
          "sections": ["Project Overview", "Architecture", "Build Commands", "Testing"],
          "is_symlink": true,
          "symlink_target": "AGENTS.md"
        }
      ],
      "count": 2,
      "total_bytes": 3200,
      "directories": [
        {
          "dir": ".",
          "files": [
            { "filename": "AGENTS.md", "is_symlink": false },
            { "filename": "CLAUDE.md", "is_symlink": true, "symlink_target": "AGENTS.md" }
          ]
        }
      ],
      "source": { "tool": "find", "integration": "code" }
    },
    "plans_dir": {
      "exists": true,
      "path": ".agents/plans",
      "file_count": 3
    },
    "cicd": {
      "cmds": [
        {
          "cmd": "claude -p --output-format json --allowedTools Bash(git*) Read 'review this PR'",
          "tool": "claude",
          "version": "1.0.20",
          "allowed_tools": "Bash(git*) Read"
        }
      ]
    },
    "authorship": {
      "provider": "git-ai",
      "total_commits": 12,
      "annotated_commits": 8,
      "git_ai": {
        "notes_ref_exists": true,
        "commits_with_notes": 8
      }
    }
  }
}

Configuration

Configure this collector in your lunar-config.yml.

Inputs

Input Required Default Description
md_find_command Optional find . \( -type f -o -type l \) \( -name AGENTS.md -o -name CLAUDE.md -o -name GEMINI.md -o -name CODEX.md \) -not -path '*/node_modules/*' -not -path '*/.git/*' Command to find agent instruction files (must output one file path per line)
plans_dir_paths Optional .agents/plans,.ai/plans Comma-separated list of candidate paths for the plans directory (first match wins)
annotation_prefix Optional AI- Prefix for git trailer-based AI annotations
default_branch_window Optional 50 Number of recent commits to scan on the default branch

Documentation

View on GitHub

AI Use Collector

Collects AI coding assistant usage data including instruction files, plans directories, CI tool invocations, and authorship annotations.

Overview

This collector tracks how AI coding assistants are used across your repositories and CI pipelines. It discovers agent instruction files (AGENTS.md, CLAUDE.md, etc.), checks for dedicated planning directories, detects AI CLI tools running in CI with their flags, and collects AI authorship annotations from commits via the Git AI standard or git trailers.

Collected Data

This collector writes to the following Component JSON paths:

Path Type Description
.ai_use.instructions object Agent instruction files: root file info, all files with sections/symlink status, per-directory grouping, total byte count
.ai_use.plans_dir object Plans directory existence, path, and file count
.ai_use.cicd.cmds[] array AI CLI tool invocations detected in CI: command string, version, and tool/MCP configuration (allowed tools, sandbox mode, approval mode)
.ai_use.authorship object AI authorship annotation coverage across commits (Git AI notes or git trailers)

Collectors

This integration provides the following collectors (use include to select a subset):

Collector Description
instruction-files Discovers AGENTS.md, CLAUDE.md, GEMINI.md, CODEX.md files with metadata and symlink status
plans-dir Checks for a dedicated AI plans directory
ai-cli-ci-claude Detects Claude Code CLI invocations in CI and flags dangerous permissions
ai-cli-ci-codex Detects OpenAI Codex CLI invocations in CI and flags dangerous permissions
ai-cli-ci-gemini Detects Google Gemini CLI invocations in CI and flags dangerous permissions
ai-authorship Collects AI authorship annotations from commits via Git AI standard or git trailers

Installation

Add to your lunar-config.yml:

collectors:
  - uses: github://earthly/lunar-lib/collectors/ai-use@v1.0.0
    on: ["domain:your-domain"]  # Or use tags like [backend, go]
    # with:
    #   md_find_command: "find . -type f \\( -name AGENTS.md -o -name CLAUDE.md \\)"
    #   plans_dir_paths: ".agents/plans,.ai/plans"
    #   annotation_prefix: "AI-"
    #   default_branch_window: "50"

Open Source

This collector is open source and available on GitHub. Contribute improvements, report issues, or fork it for your own use.

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