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name: loop-goal description: > Run a goal through the Jarvis Improvement Loop (loop engineering): ground a sourced pass/fail rubric in real evidence first, then iterate Discover → change → Verify until the goal is verifiably met or it hits an honest plateau. Use when the user types "/loop-goal", or says "loop on this", "loop goal", "loop engineering", "iterate until done", "verify until done", "keep going until it's actually done", "run the loop", or states a goal they want pursued and checked rather than a one-shot answer. Goal-agnostic — works for design tasks, research, prototypes, content/a11y cleanup, and fuzzy "make it better" goals.

Loop Goal (Jarvis Improvement Loop)

Drive a stated goal through a verifiable loop. Grading is grounded in external evidence first, never invented — every criterion cites a real source. The loop is executed via a deterministic CLI, not narrated.

Why it matters: this turns the agent from a one-shot responder into a self-directed operator — it sets its own pass/fail bar, then works, checks, and re-plans autonomously until the goal is provably met, escalating only at real blockers. You delegate the outcome, not the steps.

0. Locate the engine (once)

The loop engine ships with the extension and installs to a stable global path. Resolve it in this order and reuse the result; always pass --repo-root "$PWD" so it grounds and writes runs against the current workspace:

JIL=./evals/loop/cli.mjs
[ -f "$JIL" ] || JIL="$HOME/.design-jarvis/loop/cli.mjs"
[ -f "$JIL" ] || { echo "Loop engine missing. In VS Code run 'Design Jarvis: Install Agents' from the Command Palette, then retry."; exit 1; }

Requires Node.js on PATH. If node is missing, tell the user and stop.

Hard rules

1. Ground before work. Never start until a rubric is grounded, validated, and locked. Every criterion cites a real source (repo path or allowlisted URL). Unsourceable criteria → status:"unverifiable" → escalate to the user, never grade them.
2. Deterministic-first. Use cli.mjs verify for everything machine-checkable. Never claim a gate is green if the deterministic gate is RED.
3. One verified change per turn. No batched cosmetic edits.
4. Honest plateau. When no failing criterion and no sourced, measurable gain remains, record ONE plateau note and stop. Do not pad turns.
5. Propose, don't apply risky/irreversible actions. Pause and ask before applying self-improvement edits to main, editing baselines, pushing, real Figma writes, or sending messages.

Procedure

Phase 0 — Ground the gate:

node "$JIL" classify --goal "<goal>" --repo-root "$PWD"      # ask one Q if ambiguous
node "$JIL" start    --goal "<goal>" --profile <id> --repo-root "$PWD"
node "$JIL" ground   --goal "<goal>" --profile <id> --run <run-id> --repo-root "$PWD"

Fill <workspace>/.jarvis/loop-runs/<run-id>/rubric.json from repo ground sources (skill acceptance steps, specs, design-system defaults) and allowlisted standards (for example WCAG on w3.org or web-platform guidance on developer.mozilla.org). Prefer a deterministic check.kind (grep_absent, grep_present, command, file_exists, json_path, score_at_least). Then:

node "$JIL" validate --rubric <workspace>/.jarvis/loop-runs/<run-id>/rubric.json

Fix every error, then set "locked": true.

Phases 1–N — Iterate (repeat until done or plateau), citing evidence each turn:

• Discover — probe the profile's sources; cite what you found.
• Hypothesis — name the gap, the fix, and the expected measurable result.
• Implement — exactly one real change.
• Verify — node "$JIL" verify --rubric <…>/rubric.json --repo-root "$PWD" --json. Resolve pending-judge criteria yourself against their sourced statements.
• Record — node "$JIL" record --run <run-id> --turn <turn.json> --repo-root "$PWD".
• Check node "$JIL" status --run <run-id> --repo-root "$PWD"; if plateau.plateau is true, stop.

Close out

Report: the locked rubric (criteria + sources), per-turn change + verify evidence, final gate state (deterministic green/red + judge verdicts), and the plateau note or the human-gated action you're requesting approval for. Never report success for any criterion whose deterministic check is RED.

Full spec: evals/loop/README.md. Policies: evals/loop/policies.json. Profiles: evals/loop/profiles.json. The self-improve profile is maintainer-only (needs the Design Jarvis source repo).