Borrowing it
Nothing to install: this file belongs to yylo-dev/yylo. 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/yylo-dev/yylo/main/.agents/skills/ralph-loop/SKILL.mdgit clone --depth 1 https://github.com/yylo-dev/yyloWrote 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/yylo-dev/yylo/ralph-loop)<a href="https://agentmods.dev/skills/yylo-dev/yylo/ralph-loop"><img src="https://agentmods.dev/badge/skills/yylo-dev/yylo/ralph-loop/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/yylo-dev/yylo/ralph-loop"><img src="https://agentmods.dev/badge/skills/yylo-dev/yylo/ralph-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
SkillSpector: 1 finding, up to low
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 →
- low Excessive Agency · line 8 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00029 | $0.00199 |
| Opus 5.5 | $0.00012 | $0.00080 |
| Sonnet 5.5 | $0.00006 | $0.00040 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
ralph-loop 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.
What it actually says
Read references/implement.md completely and follow it.
Stay within the assigned task. Do not select unrelated work, edit tasks.md, auto-tag releases, push, deploy, mutate production, or broaden scope because another issue is noticed. Record a bounded related Kanban follow-up when necessary.
Keep durable instructions concise and evidence-backed. Status belongs in the task response and runtime receipts, not AGENTS.md.
Controller checkpoints are best-effort local durability warnings after terminal metadata is durable. They never gate yy pi, yy task, yy merge, product commits, candidates, or releases.
Complete assigned request
Treat the following as the complete user-assigned request. Preserve task references and directives literally; resolve them only through the normal agent workflow.
$ARGUMENTS
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.
- 1mo ago First seen · 19 lines · 29 tokens per session scan A 85732f468ef3
ralph-loop is a skill published in the GitHub repository yylo-dev/yylo (66 stars, last pushed 5d ago), licensed MIT. It adds 29 tokens to every session and 199 once invoked, about $0.0001 per session on Opus 5.5. 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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