Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ChenShuo2004/cs-skillsnpx agentmods add skills/chenshuo2004/cs-skills/cs-ralph-runnerWrote 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/chenshuo2004/cs-skills/cs-ralph-runner)<a href="https://agentmods.dev/skills/chenshuo2004/cs-skills/cs-ralph-runner"><img src="https://agentmods.dev/badge/skills/chenshuo2004/cs-skills/cs-ralph-runner/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/chenshuo2004/cs-skills/cs-ralph-runner"><img src="https://agentmods.dev/badge/skills/chenshuo2004/cs-skills/cs-ralph-runner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
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 Excessive Agency · line 67 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00074 | $0.02859 |
| Opus 5 | $0.00037 | $0.01430 |
| Sonnet 5 | $0.00015 | $0.00572 |
| Haiku 4.5 | $0.00007 | $0.00286 |
Grade A, and why
cs-ralph-runner 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.
How it starts
The opening of the file, as written. The whole thing — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ralph Runner
Purpose
Use this skill to run a controlled local workflow in Codex:
- Read a Markdown requirements document.
- Resolve a target Git repository from a project alias, explicit path, or the current workspace.
- Generate a Ralph-compatible PRD JSON in the target project.
- Run
ralphoverview and a safe dry-run build through Codex. - Show the user the planned commands as an informational preview, then continue automatically.
- Report paths, commands, logs, git state, and next steps.
This skill is for Codex desktop/local CLI workflows. It is not a graphical project picker.
$ Workflow Triggers
$cs-ralph-runner: generic Markdown requirements to Ralph PRD and safe build workflow.$auto-cutting-ralph: automatic video editing requirements to Ralph PRD, dry-run build, output generation plan, and verification feedback.$auto-cutting-prd: automatic video editing requirements or PRD only, without running Ralph build unless requested.$auto-render-video: direct render workflow; use Ralph only if the user asks for implementation automation.
Inputs
Require these before running:
- Markdown requirements document path (
.md). - Target project, which can be:
- a project alias from
references/projects.json, such asweb-app; - an absolute local repository path, such as
<repo-path>; - a relative repository path, resolved from the current workspace;
.orcurrent repoto use the current working directory.
- a project alias from
Optional inputs:
- Iteration count, default
1. - Commit permission, default
false. - Existing PRD JSON path, only if the user wants to skip PRD generation.
If the document path is missing, ask for it before executing commands. If the target project is missing and the current working directory is a Git repository, use the current working directory as the target. If the current working directory is not a Git repository, ask for an alias or path.
What ships with it
3 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.
- 9d ago First seen · 299 lines · 74 tokens per session scan A 90e4e4963808
cs-ralph-runner is a skill published in the GitHub repository ChenShuo2004/cs-skills (141 stars, last pushed 6d ago), licensed MIT. It adds 74 tokens to every session and 2,859 once invoked, about $0.0004 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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