Borrowing it
Nothing to install: this file belongs to Orinks/AccessiWeather. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Orinks/AccessiWeather/main/.codex/skills/ralph/SKILL.mdgit clone --depth 1 https://github.com/Orinks/AccessiWeatherWrote 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/orinks/accessiweather/ralph)<a href="https://agentmods.dev/skills/orinks/accessiweather/ralph"><img src="https://agentmods.dev/badge/skills/orinks/accessiweather/ralph/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/orinks/accessiweather/ralph"><img src="https://agentmods.dev/badge/skills/orinks/accessiweather/ralph.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 | $0.00018 | $0.03511 |
| Opus 5.5 | $0.00007 | $0.01404 |
| Sonnet 5.5 | $0.00004 | $0.00702 |
| Haiku 4.5 | $0.00002 | $0.00351 |
Grade A, and why
ralph 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 1mo 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
88% identical to ralph — 17 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[RALPH + ULTRAWORK - ITERATION {{ITERATION}}/{{MAX}}]
Your previous attempt did not output the completion promise. Continue working on the task.
<Use_When>
- Task requires guaranteed completion with verification (not just "do your best")
- User says "ralph", "don't stop", "must complete", "finish this", or "keep going until done"
- Work may span multiple iterations and needs persistence across retries
- Task benefits from parallel execution with architect sign-off at the end </Use_When>
<Do_Not_Use_When>
- User wants a full autonomous pipeline from idea to code -- use
autopilotinstead - User wants to explore or plan before committing -- use
planskill instead - User wants a quick one-shot fix -- delegate directly to an executor agent
- User wants manual control over completion -- use
ultraworkdirectly </Do_Not_Use_When>
<Why_This_Exists> Complex tasks often fail silently: partial implementations get declared "done", tests get skipped, edge cases get forgotten. Ralph prevents this by looping until work is genuinely complete, requiring fresh verification evidence before allowing completion, and using tiered architect review to confirm quality. </Why_This_Exists>
<Execution_Policy>
- Fire independent agent calls simultaneously -- never wait sequentially for independent work
- Use
run_in_background: truefor long operations (installs, builds, test suites) - Always pass the
modelparameter explicitly when delegating to agents - Read
docs/shared/agent-tiers.mdbefore first delegation to select correct agent tiers - Deliver the full implementation: no scope reduction, no partial completion, no deleting tests to make them pass
- Apply the shared workflow guidance pattern: outcome-first framing, concise visible updates for multi-step execution, local overrides for the active workflow branch, validation proportional to risk, explicit stop rules, and automatic continuation for safe reversible steps. Ask only for material, destructive, credentialed, external-production, or preference-dependent branches. </Execution_Policy>
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.
- 1mo ago First seen · 270 lines · 18 tokens per session scan A ad2402e08cb1
ralph is a skill published in the GitHub repository Orinks/AccessiWeather (24 stars, last pushed 2d ago), licensed MIT. It adds 18 tokens to every session and 3,511 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to ralph, differing in 17 lines, and is treated as a copy.
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