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SKILL.md
npx skills add trailofbits/skills --skill trailmark-summary
Runs a Trailmark summary analysis on a codebase. Returns auto-detected languages, entry point count, and dependency list. Use when vivisect or galvanize needs a quick structural overview. Triggers: trailmark summary, code summary, structural overview.
npx skills add trailofbits/skills --skill trailmark-summary
Runs trailmark analyze --language auto --summary on a target directory.
This is a v0.2-safe workflow; do not require Trailmark 0.4.0 just to produce a
summary.
trailmark-structural)trailmark skill directly)trailmark-structural)| Rationalization | Why It's Wrong | Required Action |
|---|---|---|
| "I can read the code manually instead" | Manual reading misses parser-based language detection, dependency data, and entry point enumeration | Install and run trailmark |
| "Language detection doesn't matter" | Wrong language selection produces empty or partial analysis | Use Trailmark's parser-based detection or --language auto |
| "Partial output is good enough" | Missing any of the three required outputs (detected languages, entry points, dependencies) means incomplete analysis | Verify all three are present |
| "Tool isn't installed, I'll skip it" | This skill exists specifically to run trailmark | Report the installation gap instead of skipping |
The target directory is passed via the args parameter.
Step 1: Check that trailmark is available.
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.
Optionally record the version if the installed build supports it:
Do not fail if the version command is missing; older v0.2.x builds may still support the summary workflow.
Step 2: Detect languages with Trailmark's parse API.
If the import fails, rerun the same snippet with uv run --with trailmark python - "{args}".
If the result is [], report "Trailmark found no supported languages under
target" and return.
Step 3: Run the summary with auto-detection.
Step 4: Verify the output.
The output must include ALL THREE of:
Entrypoints: line from the summary outputDependencies: line from the summary outputIf any are missing, report the gap. Do not fabricate output.
Return the detected language list plus the full Trailmark summary output. If a version string was available, include it in the returned metadata.
trailmark --version 2>/dev/null || uv run trailmark --version 2>/dev/null || truepython3 - "{args}" <<'PY'
import json
import sys
try:
from trailmark.parse import detect_languages # canonical location since 0.3.x
except ModuleNotFoundError:
# v0.2.x predates trailmark.parse; the same function lives in query.api
from trailmark.query.api import detect_languages
print(json.dumps(detect_languages(sys.argv[1])))
PYtrailmark analyze --language auto --summary {args} 2>&1 || \
uv run trailmark analyze --language auto --summary {args} 2>&1