evaluate-presets – OpenClaw Skill

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name: evaluate-presets description: Use when testing Ralph's hat collection presets, validating preset configurations, or auditing the preset library for bugs and UX issues.

Evaluate Presets

Overview

Systematically test all hat collection presets using shell scripts. Direct CLI invocation—no meta-orchestration complexity.

When to Use

• Testing preset configurations after changes
• Auditing the preset library for quality
• Validating new presets work correctly
• After modifying hat routing logic

Quick Start

Evaluate a single preset:

./tools/evaluate-preset.sh tdd-red-green claude

Evaluate all presets:

./tools/evaluate-all-presets.sh claude

Arguments:

• First arg: preset name (without .yml extension)
• Second arg: backend (claude or kiro, defaults to claude)

Bash Tool Configuration

IMPORTANT: When invoking these scripts via the Bash tool, use these settings:

• Single preset evaluation: Use timeout: 600000 (10 minutes max) and run_in_background: true
• All presets evaluation: Use timeout: 600000 (10 minutes max) and run_in_background: true

Since preset evaluations can run for hours (especially the full suite), always run in background mode and use the TaskOutput tool to check progress periodically.

Example invocation pattern:

Bash tool with:
  command: "./tools/evaluate-preset.sh tdd-red-green claude"
  timeout: 600000
  run_in_background: true

After launching, use TaskOutput with block: false to check status without waiting for completion.

What the Scripts Do

evaluate-preset.sh

1. Loads test task from tools/preset-test-tasks.yml (if yq available)
2. Creates merged config with evaluation settings
3. Runs Ralph with --record-session for metrics capture
4. Captures output logs, exit codes, and timing
5. Extracts metrics: iterations, hats activated, events published

Output structure:

.eval/
├── logs/<preset>/<timestamp>/
│   ├── output.log          # Full stdout/stderr
│   ├── session.jsonl       # Recorded session
│   ├── metrics.json        # Extracted metrics
│   ├── environment.json    # Runtime environment
│   └── merged-config.yml   # Config used
└── logs/<preset>/latest -> <timestamp>

evaluate-all-presets.sh

Runs all 12 presets sequentially and generates a summary:

.eval/results/<suite-id>/
├── SUMMARY.md              # Markdown report
├── <preset>.json           # Per-preset metrics
└── latest -> <suite-id>

Presets Under Evaluation

Preset	Test Task
tdd-red-green	Add is_palindrome() function
adversarial-review	Review user input handler for security
socratic-learning	Understand HatRegistry
spec-driven	Specify and implement StringUtils::truncate()
mob-programming	Implement a Stack data structure
scientific-method	Debug failing mock test assertion
code-archaeology	Understand history of config.rs
performance-optimization	Profile hat matching
api-design	Design a Cache trait
documentation-first	Document RateLimiter
incident-response	Respond to "tests failing in CI"
migration-safety	Plan v1 to v2 config migration

Interpreting Results

Exit codes from evaluate-preset.sh:

• 0 — Success (LOOP_COMPLETE reached)
• 124 — Timeout (preset hung or took too long)
• Other — Failure (check output.log)

Metrics in metrics.json:

• iterations — How many event loop cycles
• hats_activated — Which hats were triggered
• events_published — Total events emitted
• completed — Whether completion promise was reached

Hat Routing Performance

Critical: Validate that hats get fresh context per Tenet #1 ("Fresh Context Is Reliability").

What Good Looks Like

Each hat should execute in its own iteration:

Iter 1: Ralph → publishes starting event → STOPS
Iter 2: Hat A → does work → publishes next event → STOPS
Iter 3: Hat B → does work → publishes next event → STOPS
Iter 4: Hat C → does work → LOOP_COMPLETE

Red Flags (Same-Iteration Hat Switching)

BAD: Multiple hat personas in one iteration:

Iter 2: Ralph does Blue Team + Red Team + Fixer work
        ^^^ All in one bloated context!

How to Check

1. Count iterations vs events in session.jsonl:

# Count iterations
grep -c "_meta.loop_start\|ITERATION" .eval/logs/<preset>/latest/output.log

# Count events published
grep -c "bus.publish" .eval/logs/<preset>/latest/session.jsonl

Expected: iterations ≈ events published (one event per iteration) Bad sign: 2-3 iterations but 5+ events (all work in single iteration)

2. Check for same-iteration hat switching in output.log:

grep -E "ITERATION|Now I need to perform|Let me put on|I'll switch to" \
    .eval/logs/<preset>/latest/output.log

Red flag: Hat-switching phrases WITHOUT an ITERATION separator between them.

3. Check event timestamps in session.jsonl:

cat .eval/logs/<preset>/latest/session.jsonl | jq -r '.ts'

Red flag: Multiple events with identical timestamps (published in same iteration).

Routing Performance Triage

Pattern	Diagnosis	Action
iterations ≈ events	✅ Good	Hat routing working
iterations << events	⚠️ Same-iteration switching	Check prompt has STOP instruction
iterations >> events	⚠️ Recovery loops	Agent not publishing required events
0 events	❌ Broken	Events not being read from JSONL

Root Cause Checklist

If hat routing is broken:

1. Check workflow prompt in hatless_ralph.rs:

   • Does it say "CRITICAL: STOP after publishing"?
   • Is the DELEGATE section clear about yielding control?

2. Check hat instructions propagation:

   • Does HatInfo include instructions field?
   • Are instructions rendered in the ## HATS section?

3. Check events context:

   • Is build_prompt(context) using the context parameter?
   • Does prompt include ## PENDING EVENTS section?

Autonomous Fix Workflow

After evaluation, delegate fixes to subagents:

Step 1: Triage Results

Read .eval/results/latest/SUMMARY.md and identify:

• ❌ FAIL → Create code tasks for fixes
• ⏱️ TIMEOUT → Investigate infinite loops
• ⚠️ PARTIAL → Check for edge cases

Step 2: Dispatch Task Creation

For each issue, spawn a Task agent:

"Use /code-task-generator to create a task for fixing: [issue from evaluation]
Output to: tasks/preset-fixes/"

Step 3: Dispatch Implementation

For each created task:

"Use /code-assist to implement: tasks/preset-fixes/[task-file].code-task.md
Mode: auto"

Step 4: Re-evaluate

./tools/evaluate-preset.sh <fixed-preset> claude

Prerequisites

• yq (optional): For loading test tasks from YAML. Install: brew install yq
• Cargo: Must be able to build Ralph

Related Files

• tools/evaluate-preset.sh — Single preset evaluation
• tools/evaluate-all-presets.sh — Full suite evaluation
• tools/preset-test-tasks.yml — Test task definitions
• tools/preset-evaluation-findings.md — Manual findings doc
• presets/ — The preset collection being evaluated