fix

A structured process for repairing a failed check, reported bug, or review finding. It changes one problem at a time, verifies the result, and keeps or reverts the change based on the checks.

In plain words
What is it for?
Fixing test failures, verifier errors, review findings, issue reports, and other clearly described defects.
Why use it?
It prevents unrelated edits from hiding the original problem or introducing new regressions. It helps continue repairs until the available checks are clean or the limit is reached.

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/outlinedriven/odin-codex-plugin/fix
Any agent
npx skills add OutlineDriven/odin-codex-plugin --skill fix
Clone the repo
git clone --depth 1 https://github.com/OutlineDriven/odin-codex-plugin

Made for: Claude Code, Codex.

Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,532 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00108 $0.01532
Opus 5 $0.00054 $0.00766
Sonnet 5 $0.00022 $0.00306
Haiku 4.5 $0.00011 $0.00153

Measured 2d ago against content hash a16d270343c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fix 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 2d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • fix — 100% identical, 0 lines differ
skills/fix/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fix

Failure-driven iterative repair. Detect → Prioritize → Fix ONE thing → Commit → Verify → Keep/Revert → Repeat.

When to Apply / NOT

Apply: user says "fix", "make it pass", "apply findings"; input is a verifier failure, findings file, or bug description.

NOT apply:

  • CI/PR workflows with no local context → use gh-fix-ci
  • PR review comments → use gh-address-comments
  • Merge conflicts
  • Analysis-only tasks → use resolve or debug
  • Planned change without a failure driver → use proceed

Detected Mode Acknowledgement [LOAD-BEARING]

First output line before ANY edit:

detected: <mode> — target=TARGET guard=GUARD scope=SCOPE cap=20

Mode values: gh-route, findings, verifier-failure, bug-spec. Full classifier: references/classifier.md.

Input Classifier

First-match wins. Full detail: references/classifier.md.

Priority Mode Minimum condition
1 gh-route GH-flavored input + open PR + gh auth status clean
2 findings Path to */findings.md, */review/*.md, or structured findings text
3 verifier-failure Raw verifier stdout (FAILED, error TS, --- FAIL, etc.)
4 bug-spec Natural-language description — catch-all fallback

Auto-Detect Gate

Auto-infer: target verifier, scope glob, guard command, iteration cap (default 20).

Trigger AskUserQuestion (single-select per axis, NEVER multiSelect) when:

  • MIXED_MODE: findings artifact AND verifier-failure output both present
  • GH_PARTIAL: GH-flavored input but no open PR, or gh auth status fails
  • LANG_UNKNOWN: verifier-failure detected but verifier undetectable
  • SCOPE_AMBIGUOUS: bug-spec with no module, file, or component reference

Iterative Loop

Full spec: references/loop.md. Key rules:

  • One fix per iteration. Apply fix → stage checkpoint commit → run verifiers → KEEP on green, revert with git revert HEAD --no-edit on red. A commit is kept only when the guard passes.
  • Decide matrix:
    • delta > 0 + guard ok → KEEP
    • delta > 0 + guard fail → REWORK (max 2 reworks per item; 4th attempt → SKIP)
    • delta ≤ 0DISCARD — revert immediately
    • 3 total skips → HALT with summary
  • Revert: always git revert HEAD --no-edit. Never reset --hard.
  • Cap: 20 iterations default. Print progress every 5 iterations.
  • Refuse loop on protected branches (main, master, release/*).
  • Override: iterations: N or --iterations N in invocation.

Read the full file on GitHub · 132 lines

Files

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.

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. 2d ago First seen · 132 lines · 108 tokens per session scan A a16d270343c3

Subscribe to this mod's changes

fix is a skill published in the GitHub repository OutlineDriven/odin-codex-plugin (15 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 108 tokens to every session and 1,532 once invoked, about $0.0005 per session on Opus 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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