Trailmark Summary

Runs trailmark analyze --language auto --summary on a target directory.

When to Use

• Vivisect Phase 0 needs a quick structural overview before decomposition
• Galvanize Phase 1 needs detected languages and entry point count
• Quick orientation on an unfamiliar codebase before deeper analysis

When NOT to Use

• Full structural analysis with all passes needed (use trailmark-structural)
• Detailed code graph queries (use the main trailmark skill directly)
• You need hotspot scores or taint data (use trailmark-structural)

Rationalizations to Reject

Usage

The target directory is passed via the args parameter.

Execution

Step 1: Check that trailmark is available.

trailmark analyze --help 2>/dev/null || \
  uv run trailmark analyze --help 2>/dev/null

If neither command works, report "trailmark is not installed" and return. Do NOT run pip install, uv pip install, git clone, or any install command. The user must install trailmark themselves.

Step 2: Detect languages with Trailmark's parse API.

python3 - "{args}" <<'PY'
import json
import sys

from trailmark.parse import detect_languages

print(json.dumps(detect_languages(sys.argv[1])))
PY

If the import fails, rerun the same snippet with uv run python - "{args}". If the result is [], report "Trailmark found no supported languages under target" and return.

Step 3: Run the summary with auto-detection.

trailmark analyze --language auto --summary {args} 2>&1 || \
  uv run trailmark analyze --language auto --summary {args} 2>&1

Step 4: Verify the output.

The output must include ALL THREE of:

1. Detected languages from Step 2
2. Entrypoints: line from the summary output
3. Dependencies: line from the summary output

If any are missing, report the gap. Do not fabricate output.

Return the detected language list plus the full Trailmark summary output.