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.
npx skills add dayfinggg/openai-codex-agent-skills --skill refactorgit clone --depth 1 https://github.com/dayfinggg/openai-codex-agent-skillsWrote 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/dayfinggg/openai-codex-agent-skills/refactor)<a href="https://agentmods.dev/skills/dayfinggg/openai-codex-agent-skills/refactor"><img src="https://agentmods.dev/badge/skills/dayfinggg/openai-codex-agent-skills/refactor/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/dayfinggg/openai-codex-agent-skills/refactor"><img src="https://agentmods.dev/badge/skills/dayfinggg/openai-codex-agent-skills/refactor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00052 | $0.00379 |
| Opus 5 | $0.00026 | $0.00189 |
| Sonnet 5 | $0.00010 | $0.00076 |
| Haiku 4.5 | $0.00005 | $0.00038 |
Grade A, and why
refactor 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.
What it actually says
Refactor
Follow the governing instructions and the user's requirements for communication, code style, authorization, and delegation. This skill supplies task-specific guidance, not permission to expand the task. Its workflow and output fields describe internal checks and relevant content, not a mandatory response layout or a progress report. When used within broader authorized work, continue that work through completion rather than stopping to deliver this skill's intermediate result.
Improve the shape of the code without changing its contract.
Fix the invariant
Identify the observable behavior, public interfaces, performance constraints, and compatibility properties that must remain unchanged. Establish a passing focused test or another reliable baseline before editing.
Find the load
Locate duplicated decisions, scattered state, shallow wrappers, hidden mutation, misleading names, weak types, and boundaries that force readers to cross many files. Prefer deletion, consolidation, and narrower interfaces over new layers.
Change incrementally
Make one structural move at a time and rerun the focused checks. Preserve callers unless the request includes an interface migration. Do not mix unrelated formatting or feature changes into the refactor.
Within code already touched by the authorized refactor, make a small verified clarity improvement or remove local dead code when doing so reduces reader load. Do not use this as permission for adjacent cleanup or a repository-wide "boy scout" pass.
Verify
Compare behavior and public surfaces before and after. Inspect the diff for accidental semantic changes and run broader checks based on the affected dependency graph.
Output
Report the structural problem removed, the invariant preserved, the material simplification, and the evidence that behavior did not change.
What ships with it
1 file 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.
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.
- 2d ago Changed · +2 lines 3bfab4f4cfcf
- 3d ago Changed · +2 lines ae09bc5fc655
- 8d ago First seen · 29 lines · 52 tokens per session scan A 7755b665042f
refactor is a skill published in the GitHub repository dayfinggg/openai-codex-agent-skills (4 stars, last pushed 3d ago), licensed MIT. It adds 52 tokens to every session and 379 once invoked, about $0.0003 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 2026-08-31.
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review-response
Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper acceptance rates.
daily-paper-generator
Use when the user asks to generate daily paper digests on a general topic. This skill supports both arXiv and bioRxiv (or either one), then produces structured Chinese/English summaries for selected papers.