fixer

fixer is a skill for Claude Code, Codex from alecs5am/ralphy. It costs 332 tokens per session (2,270 once invoked), scanned A, original, Apache-2.0.

A guide for turning a video quality report into an ordered repair plan. It assigns each problem to the part of the production process responsible for fixing it and ranks the work by severity.

In plain words
What is it for?
Use it after a rendered video receives warnings or a failing review, or when you have an evaluation report or repair plan to act on.
Why use it?
It connects evaluation findings to concrete corrections and a new render, so problems can be addressed systematically.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/alecs5am/ralphy/fixer
Any agent
npx skills add alecs5am/ralphy --skill fixer
Clone the repo
git clone --depth 1 https://github.com/alecs5am/ralphy

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for fixer

README.md
[![agentmods](https://agentmods.dev/badge/skills/alecs5am/ralphy/fixer.svg)](https://agentmods.dev/skills/alecs5am/ralphy/fixer)
Your own site
<a href="https://agentmods.dev/skills/alecs5am/ralphy/fixer"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/fixer.svg" alt="Measured on agentmods" height="20"></a>
Per session 332 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,270 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00332 $0.02270
Opus 5 $0.00166 $0.01135
Sonnet 5 $0.00066 $0.00454
Haiku 4.5 $0.00033 $0.00227

Measured 5d ago against content hash 4fa53f0a3e53, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 5d 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).
.agents/skills/fixer/SKILL.md · 107 lines

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 /evaluator returns a warn or fail verdict 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.md path and asks you to act on it.
  • When the agent-production contract's repair phase (#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.json yet — that is the editor (ralphy render) then /evaluator first. 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

  1. No paid model call before approval. This is the load-bearing rule of the whole skill. The repair-plan verb is free and deterministic — run it freely. But the moment a fix is an art-director re-roll or any ralphy 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 born approvalState: "pending" precisely so this gate is structural, not just prose.
  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).
  3. Append-only. Re-rolls auto-version (.v2); never --force-overwrite without the user asking. The old eval, the old render, the old plan all stay on disk.
  4. Deterministic plan, no LLM. ralphy project repair-plan does pure parsing of the eval output. Do not paraphrase or re-rank findings by hand — the verb owns the owner map + priority order.

Read the full file on GitHub · 107 lines

Changes

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.

  1. 5d ago First seen · 107 lines · 332 tokens per session scan A 4fa53f0a3e53

Subscribe to this mod's changes

fixer is a skill published in the GitHub repository alecs5am/ralphy (129 stars, last pushed 10d ago), licensed Apache-2.0. It adds 332 tokens to every session and 2,270 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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