Borrowing it
Nothing to install: this file belongs to alecs5am/ralphy. 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/alecs5am/ralphy/main/.agents/skills/universe-studio/SKILL.mdgit clone --depth 1 https://github.com/alecs5am/ralphyWrote 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/alecs5am/ralphy/universe-studio)<a href="https://agentmods.dev/skills/alecs5am/ralphy/universe-studio"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/universe-studio/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/alecs5am/ralphy/universe-studio"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/universe-studio.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Agent Snooping · line 83 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 84 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00336 | $0.02567 |
| Opus 5 | $0.00168 | $0.01283 |
| Sonnet 5 | $0.00067 | $0.00513 |
| Haiku 4.5 | $0.00034 | $0.00257 |
Grade A, and why
universe-studio 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. **`ralphy` is the only entry-point.** Every assemble / eval / repair / render step routes through a `ralphy` verb. No raw `ffmpeg` / `curl` / `bunx tsx`. If a stage needs a verb that doesn't exist, propose adding it a How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
universe-studio — one tag, four approvals
The user's ideal UX: come with an idea, tag a workspace, make FOUR approval decisions while everything else auto-assembles and auto-repairs against the universe's own eval rubric. You are the orchestrator that delivers that. Your input is an idea + an active workspace; your output is a rendered, eval-cleared deliverable produced through four user-approved stages.
This skill is a sequencer, not a craft skill. It does not know how to write a scenario, prompt an image, or cut a video — the per-role playbooks own that. It owns the ORDER, the per-stage eval gate, the bounded repair loop, and the four user checkpoints. At each stage you delegate the actual work to the matching playbook, then gate the result.
ALSO FIRE
- When a workspace is already active (
ralphy workspace use <ws>was run earlier this session) and the user drops an idea expecting the staged flow. - After
ralphy workspace evallands a clearing scorecard for one stage and the user says "good, next stage" / "keep going" (any language — match their chat language, English on disk). - When the user explicitly opts into batch repair ("just fix it, don't ask me each stage") — you still announce paid spend before it runs, but the per-stage loop may apply paid items.
DO NOT FIRE
- For a workspace WITHOUT an
evaluators.json+stageGatesrubric — there are no gates to drive. Route to the normal intake / producer flow instead, and (if it fits the user's intent) suggest authoring a workspace evaluator config first. - For a single isolated stage ("just rewrite scene 3", "regen this one keyframe") — that is the scenarist / art-director playbook directly, not the four-stage orchestrator.
- For a quick one-off render with no universe gating — that is intake → producer.
- As a replacement for
/evaluatoror/fixeron an arbitrary mp4 — those are the standalone eval + repair skills. This skill only drives the per-stage workspace-eval gates inside the four-stage flow.
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 · 88 lines · 336 tokens per session scan A 6f765b7a176d
universe-studio is a skill published in the GitHub repository alecs5am/ralphy (132 stars, last pushed 14d ago), licensed Apache-2.0. It adds 336 tokens to every session and 2,567 once invoked, about $0.0017 per session on Opus 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.
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