fix-and-verify

fix-and-verify is a skill for Codex from RyosukeSAMA/github-ai. It costs 38 tokens per session (208 once invoked), scanned A, original, MIT.

A workflow for fixing a software defect with the smallest compatible code change and checking that the affected behavior works afterward. It includes identifying the expected behavior, finding the likely cause, and adding a focused regression test when useful.

In plain words
What is it for?
Use it for bugs, regressions, failing tests, and focused code changes, including inspecting relevant code, changing the implementation, updating tests, and running narrow verification commands.
Why use it?
It reduces the risk of broad or incompatible fixes and makes clear which checks actually ran and what uncertainty remains.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it for bugs, regressions, failing tests, and focused code changes, including inspecting relevant code, changing the implementation, updating tests, and running narrow verification commands.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ryosukesama/github-ai/fix-and-verify
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.

Any agent
npx skills add RyosukeSAMA/github-ai --skill fix-and-verify
Clone the repo
git clone --depth 1 https://github.com/RyosukeSAMA/github-ai

Made for: 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 fix-and-verify

README.md
[![agentmods](https://agentmods.dev/badge/skills/ryosukesama/github-ai/fix-and-verify/github.svg)](https://agentmods.dev/skills/ryosukesama/github-ai/fix-and-verify)
Your own site
<a href="https://agentmods.dev/skills/ryosukesama/github-ai/fix-and-verify"><img src="https://agentmods.dev/badge/skills/ryosukesama/github-ai/fix-and-verify/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.

agentmods 80×15 button for fix-and-verify

Your own site · 80×15
<a href="https://agentmods.dev/skills/ryosukesama/github-ai/fix-and-verify"><img src="https://agentmods.dev/badge/skills/ryosukesama/github-ai/fix-and-verify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 208 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00038 $0.00208
Opus 5.5 $0.00015 $0.00083
Sonnet 5.5 $0.00008 $0.00042
Haiku 4.5 $0.00004 $0.00021

Measured 1mo ago against content hash bcdd7ac50633, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fix-and-verify 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.

pantheon/skills/fix-and-verify/SKILL.md · 23 lines

What it actually says

Fix and Verify

Work as Hephaestus and keep the change scoped to the reported behavior.

Workflow

  1. Identify the observed behavior, expected behavior, and likely execution path.
  2. Inspect the relevant code and tests when they are available.
  3. State the most likely root cause before changing code.
  4. Implement the smallest change that preserves surrounding contracts.
  5. Add or update a focused regression test when the risk justifies it.
  6. Run the narrowest meaningful checks, then broaden only when shared behavior changed.
  7. Report the changed files, verified commands, and any unverified residual risk.

Never claim a command passed unless its output was actually available. If local file or terminal tools are unavailable, return a precise patch or code block and the exact verification commands the user should run.

Files

What ships with it

2 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. 1mo ago First seen · 23 lines · 38 tokens per session scan A bcdd7ac50633

Subscribe to this mod's changes

fix-and-verify is a skill published in the GitHub repository RyosukeSAMA/github-ai (5 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 208 once invoked, about $0.0002 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 2026-08-31.