Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add cfircoo/claude-code-toolkit --skill ralph-orchestratorgit clone --depth 1 https://github.com/cfircoo/claude-code-toolkitWrote 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.
[](https://agentmods.dev/skills/cfircoo/claude-code-toolkit/ralph-orchestrator)<a href="https://agentmods.dev/skills/cfircoo/claude-code-toolkit/ralph-orchestrator"><img src="https://agentmods.dev/badge/skills/cfircoo/claude-code-toolkit/ralph-orchestrator/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.
<a href="https://agentmods.dev/skills/cfircoo/claude-code-toolkit/ralph-orchestrator"><img src="https://agentmods.dev/badge/skills/cfircoo/claude-code-toolkit/ralph-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00049 | $0.02954 |
| Opus 5.5 | $0.00020 | $0.01182 |
| Sonnet 5.5 | $0.00010 | $0.00591 |
| Haiku 4.5 | $0.00005 | $0.00295 |
Grade A, and why
ralph-orchestrator scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **API stories**: curl endpoints with real data, check response codes and bodies How it starts
The opening of the file, as written. The whole thing — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
- spec-interview → Gather comprehensive requirements through guided discovery
- generate-prd → Create actionable Product Requirements Document
- ralph-convert-prd → Transform PRD into atomic user stories (prd.json)
- Subagent execution → Spawn ralph-coder/ralph-tester subagents via Task tool
This skill coordinates these tools while keeping you in control at decision points.
<essential_principles>
ALL code implementation MUST happen through subagents — ralph-coder implements production code, ralph-tester writes tests and verifies. You are the orchestrator, NOT the implementer. Do not write code, create files, modify source files, or make any project changes directly.
If you catch yourself about to write code or modify project files: STOP. Spawn a subagent instead.
Do NOT try to fix issues yourself, retry automatically, or continue past errors. Present the error clearly to the user and wait for their instructions.
This maximizes throughput while maintaining correct dependency ordering.
Separation gives each agent a focused context window. The orchestrator wraps ANY agent with Ralph context (story spec, return format, constraints) so even non-Ralph agents integrate seamlessly.
This lets users configure best-practice agents for their stack, and Ralph automatically uses them.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 294 lines · 49 tokens per session scan A e0756f51dec5
ralph-orchestrator is a skill published in the GitHub repository cfircoo/claude-code-toolkit (17 stars, last pushed 7mo ago), licensed MIT. It adds 49 tokens to every session and 2,954 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
ralph-orchestrator compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ralph-orchestratorcfircoo/claude-code-toolkit | Skill | 17 | 7mo ago | MIT | A | 49 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 80k | 7d ago | MIT | A | 200 | Claude Code, Codex |
| next-cache-components-adoptionvercel/next.js | Skill | 144k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |