ralph-orchestrator: Skill for Claude Code

.claude/skills/evaluate-presets/SKILL.md

evaluate-presets is a skill for Claude Code from mikeyobrien/ralph-orchestrator. It costs 28 tokens per session (1,839 once invoked), scanned A, original, MIT.

A set of shell scripts for checking hat-collection preset configurations, either one preset at a time or the whole library.

In plain words
What is it for?
Use it to test new or changed presets and audit the preset library for bugs. It supports the Claude and Kiro backends.
Why use it?
It helps catch broken presets, routing problems, and usability issues after changes without checking each configuration manually.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents.

This is mikeyobrien/ralph-orchestrator's own configuration. It tells Claude Code how to work on ralph-orchestrator itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ralph-orchestrator configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./tools/evaluate-preset.sh tdd-red-green claude.

About the project

Ralph Orchestrator is a framework that repeatedly runs AI-agent tasks until they finish or reach an iteration limit. Developers use it to coordinate autonomous coding work through command-line, web-dashboard, and MCP-server interfaces, with state managed per workspace. The catalogue entries provide agent skills, agents, instructions, and plugins for operating Ralph.

mikeyobrien/ralph-orchestrator · 3,132 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to mikeyobrien/ralph-orchestrator. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mikeyobrien/ralph-orchestrator/main/.claude/skills/evaluate-presets/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/mikeyobrien/ralph-orchestrator

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for evaluate-presets

README.md
[![agentmods](https://agentmods.dev/badge/skills/mikeyobrien/ralph-orchestrator/evaluate-presets/github.svg)](https://agentmods.dev/skills/mikeyobrien/ralph-orchestrator/evaluate-presets)
Your own site
<a href="https://agentmods.dev/skills/mikeyobrien/ralph-orchestrator/evaluate-presets"><img src="https://agentmods.dev/badge/skills/mikeyobrien/ralph-orchestrator/evaluate-presets/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for evaluate-presets

Your own site · 80×15
<a href="https://agentmods.dev/skills/mikeyobrien/ralph-orchestrator/evaluate-presets"><img src="https://agentmods.dev/badge/skills/mikeyobrien/ralph-orchestrator/evaluate-presets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,839 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 211
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.01839
Opus 5 $0.00014 $0.00920
Sonnet 5 $0.00006 $0.00368
Haiku 4.5 $0.00003 $0.00184

Measured 9d ago against content hash b64f18850a8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

evaluate-presets scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/evaluate-presets/SKILL.md · 242 lines

How it starts

The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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>

Read the full file on GitHub · 242 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 242 lines · 28 tokens per session scan A b64f18850a8b

Subscribe to this mod's changes

evaluate-presets is a skill published in the GitHub repository mikeyobrien/ralph-orchestrator (3,132 stars, last pushed 7d ago), licensed MIT. It adds 28 tokens to every session and 1,839 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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