arthur-onboard-analyze

name	arthur-onboard-analyze
description	Arthur onboarding sub-skill — Step 4: Analyze the target repository (language, framework, existing instrumentation). Writes detection results to .arthur-engine.env.

Arthur Onboard — Step 4: Analyze Repository

Goal: Detect language, framework, and existing instrumentation. Write results to .arthur-engine.env.

Read State

cat .arthur-engine.env 2>/dev/null || echo "(no state file)"

---

Detection

# Language detection
[ -f requirements.txt ] || [ -f pyproject.toml ] && echo "PYTHON=yes"
[ -f tsconfig.json ] || [ -f package.json ] && echo "NODE=yes"

# Framework detection
grep -r --include="*.py" --include="*.ts" --include="*.js" -l \
  "mastra\|langchain\|openai\|anthropic\|crewai\|autogen" . 2>/dev/null | head -5

# Existing instrumentation
grep -r --include="*.py" --include="*.ts" --include="*.js" -l \
  "arthur\.instrument\|arthur_observability\|ArthurExporter\|openinference" . 2>/dev/null | head -3

Also read requirements.txt, pyproject.toml, package.json, and the likely entry point (main.py, app.py, src/mastra/index.ts, src/index.ts, etc.).

Determine:

• language: python | typescript | javascript | unknown
• framework: mastra | langchain | openai | anthropic | crewai | other | unknown
• isInstrumented: true if Arthur SDK, @mastra/arthur, or openinference already present

Write Results to State

STATE_FILE=".arthur-engine.env"
grep -v '^ARTHUR_DETECTED_LANGUAGE=\|^ARTHUR_DETECTED_FRAMEWORK=\|^ARTHUR_IS_INSTRUMENTED=' \
  "$STATE_FILE" 2>/dev/null > /tmp/ae_env_tmp && mv /tmp/ae_env_tmp "$STATE_FILE" || true
echo "ARTHUR_DETECTED_LANGUAGE=<language>" >> "$STATE_FILE"
echo "ARTHUR_DETECTED_FRAMEWORK=<framework>" >> "$STATE_FILE"
echo "ARTHUR_IS_INSTRUMENTED=<true|false>" >> "$STATE_FILE"

Report the detected values to the user before exiting.