doctor

Autopilot health check

Two independent checks. Report both, then a one-line verdict.

Check 1 — self report (only the model can confirm this)

State plainly, first: did the CURRENT prompt's context contain a block starting with [AUTOPILOT]? Yes or no. If yes, injection reaches the model — the core product works.

Check 2 — the canary

Run:

sh "${CLAUDE_PLUGIN_ROOT}/hooks/run.sh" doctor-noop 2>/dev/null; python3 "${CLAUDE_PLUGIN_ROOT}/scripts/doctor.py" "$HOME/.claude/command-autopilot" "<current session id if known>"

Read the output. Key line is router canary: if it shows THIS session, the hook fired end-to-end. If it says NEVER FIRED, tell the user to restart Claude Code (hooks load at startup) and run this skill again.

Check 3 — skills surfacing (read-only; the Skills Autopilot layer)

Report what the skill layer sees and has done. All read-only, no writes:

python3 - <<'EOF'
import json, os
d = os.path.expanduser("~/.claude/command-autopilot")
try:
    idx = json.load(open(d + "/skills-index.json")); b = idx.get("budget", {})
    print("skills indexed:", len(idx.get("skills", [])),
          "| parked (native can't auto-fire these):", b.get("parked_count"),
          "| over native budget:", b.get("over_budget"))
except Exception:
    print("no skills index yet — restart Claude Code so SessionStart builds it")
try:
    s = json.load(open(d + "/state.json")); w = s.get("counters", {}).get("wake", {})
    f = lambda k: sum(v.get(k, 0) for v in w.values())
    print("wake popups — shown:", f("shown"), "accepted:", f("accepted"), "declined:", f("declined"))
except Exception:
    pass
EOF

Report in one line: N skills installed, M parked (invisible to native — the ones the autopilot uniquely surfaces), and the wake shown/accepted tally. If shown is still 0 after real use, surfacing isn't firing yet — say so honestly; the real ledger is the judge, not assumptions.

Verdict

• Both pass → "Autopilot is healthy." Show the config line so the user sees their current mode.
• Check 1 fails but files look fine → restart needed, or another hook is crowding the context; suggest restart first.
• Python missing in check 2 → explain stateless mode honestly: core rules still work, learning and evidence are paused until Python 3.8+ is installed.