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/fixer/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/fixer)<a href="https://agentmods.dev/skills/alecs5am/ralphy/fixer"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/fixer/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/fixer"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/fixer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 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 25 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 78 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 77 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 79 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 104 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 | $0.00332 | $0.02270 |
| Opus 5.5 | $0.00133 | $0.00908 |
| Sonnet 5.5 | $0.00066 | $0.00454 |
| Haiku 4.5 | $0.00033 | $0.00227 |
Grade A, and why
fixer 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. **Apply fixes only through existing `ralphy` verbs.** No raw `ffmpeg` / `curl` / `bunx tsx`. If a fix needs a verb that doesn't exist, propose adding it and stop (AGENTS.md invariant #2). How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
fixer — the eval-to-repair loop
The evaluator stops at the report (correct separation of concerns). You are the consumer: you turn that report into an executable, cost-gated fix pass and close the quality flywheel. The report is your input; a re-rendered, re-evaluated video with a better verdict is your output.
ALSO FIRE
- Immediately after
/evaluatorreturns awarnorfailverdict and the user reacts with "ok fix it" / "and now?" / "make it good" (any language — match their chat language, English on disk). - When the user drops an
eval.json/REPAIR_PLAN.mdpath and asks you to act on it. - When the agent-production contract's
repairphase (#406,ralphy project status <id> --contract) is the next gap and the user wants to proceed.
DO NOT FIRE
- For an UNRENDERED project, or one with no
eval.jsonyet — that is the editor (ralphy render) then/evaluatorfirst. You cannot repair what hasn't been evaluated. - For "rework scene 3 / rewrite the hook / shorten the VO" as scenario feedback on a draft — that is the scenarist playbook (
.agents/skills/scenarist/SKILL.md). The fixer is the eval-DRIVEN loop, not free-form script editing. - For false-positive triage only ("ignore the hook-static finding, it's expected for this template") — note the skip and move on; don't spin up a full repair pass.
HARD INVARIANTS
- No paid model call before approval. This is the load-bearing rule of the whole skill. The
repair-planverb is free and deterministic — run it freely. But the moment a fix is anart-directorre-roll or anyralphy generate .../ralphy render, you STOP and wait for the user's explicit "go" on the plan (or a prior "batch repair, don't ask me each time" opt-in). Every plan item is bornapprovalState: "pending"precisely so this gate is structural, not just prose. - Apply fixes only through existing
ralphyverbs. No rawffmpeg/curl/bunx tsx. If a fix needs a verb that doesn't exist, propose adding it and stop (AGENTS.md invariant #2). - Append-only. Re-rolls auto-version (
.v2); never--force-overwritewithout the user asking. The old eval, the old render, the old plan all stay on disk. - Deterministic plan, no LLM.
ralphy project repair-plandoes pure parsing of the eval output. Do not paraphrase or re-rank findings by hand — the verb owns the owner map + priority order.
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 · 107 lines · 332 tokens per session scan A 4fa53f0a3e53
fixer is a skill published in the GitHub repository alecs5am/ralphy (140 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 332 tokens to every session and 2,270 once invoked, about $0.0013 per session on Opus 5.5. 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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