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 theflixerbox77/ralph-wiggum-codex --skill ralph-wiggum-codexgit clone --depth 1 https://github.com/theflixerbox77/ralph-wiggum-codexWrote 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/theflixerbox77/ralph-wiggum-codex/ralph-wiggum-codex)<a href="https://agentmods.dev/skills/theflixerbox77/ralph-wiggum-codex/ralph-wiggum-codex"><img src="https://agentmods.dev/badge/skills/theflixerbox77/ralph-wiggum-codex/ralph-wiggum-codex/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/theflixerbox77/ralph-wiggum-codex/ralph-wiggum-codex"><img src="https://agentmods.dev/badge/skills/theflixerbox77/ralph-wiggum-codex/ralph-wiggum-codex.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 | $0.00042 | $0.01479 |
| Opus 5 | $0.00021 | $0.00740 |
| Sonnet 5 | $0.00008 | $0.00296 |
| Haiku 4.5 | $0.00004 | $0.00148 |
Grade A, and why
ralph-wiggum-codex 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 12d 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.
This is a copy
100% identical to ralph-wiggum-codex — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ralph Wiggum For Codex
Codex-native Ralph loop for long-running autonomous task completion.
This skill is designed to be invoked as $ralph-wiggum-codex. The shell runner is support infrastructure for the skill, not the product story.
When To Use
Use this skill when:
- The task is too large or uncertain for a single turn.
- You want the agent centered on the user request and acceptance criteria, not just test output.
- You want a mandatory work phase followed by a fresh-context review phase.
- You need resumable state, explicit blocked handling, and long-run drift control.
Do not use this skill when:
- The request is a quick one-shot edit or explanation.
- The user wants manual turn-by-turn control.
- The task is mostly a prompt rewrite, not execution. Use
$ralph-prompt-generatorfirst in that case.
Optional Prompt Generator
When the request is underspecified, invoke $ralph-prompt-generator first to turn it into a Ralph-ready prompt file.
Use the companion first when:
- The objective is fuzzy.
- Acceptance criteria are missing.
- Source-of-truth artifacts are unclear.
- You want review checkpoints before starting the long run.
Companion handoff pattern:
- Run
$ralph-prompt-generatorwith the raw request. - Review the saved planning artifacts after Steps 1-2.
- Review the saved critique after Step 4.
- Use the final prompt saved at
docs/prompt-improver-spec/final-prompts/<prompt-name>.md. - Run the short Ralph-ready invocation snippet it returns at the end.
Skill-First Operating Contract
When this skill is invoked, execute this flow:
- Collect or infer:
cwd- objective text
- acceptance criteria
- optional source-of-truth artifacts
- optional verification commands
- progress scopes (
--progress-scope) for anti-no-op protection - runtime caps when the run needs them
- Materialize repo-backed state under
<cwd>/.codex/ralph-loop/:
objective.mdacceptance-criteria.mdfeedback.mdwork-summary.mdreview-feedback.mdreview-result.txt
What ships with it
5 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.
- 12d ago First seen · 168 lines · 42 tokens per session scan A 0f6db1f07e25
ralph-wiggum-codex is a skill published in the GitHub repository theflixerbox77/ralph-wiggum-codex (5 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 1,479 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ralph-wiggum-codex, differing in 0 lines, and is treated as a copy.
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