Borrowing it
Nothing to install: this file belongs to itokun99/superspec-ai-workflow. 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/itokun99/superspec-ai-workflow/main/.agents/skills/refactor/SKILL.mdgit clone --depth 1 https://github.com/itokun99/superspec-ai-workflowWrote 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/itokun99/superspec-ai-workflow/refactor)<a href="https://agentmods.dev/skills/itokun99/superspec-ai-workflow/refactor"><img src="https://agentmods.dev/badge/skills/itokun99/superspec-ai-workflow/refactor.svg" alt="Measured on agentmods" 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 | $0.00054 | $0.09945 |
| Opus 5 | $0.00027 | $0.04973 |
| Sonnet 5 | $0.00011 | $0.01989 |
| Haiku 4.5 | $0.00005 | $0.00995 |
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 6d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 6d ago First seen · 1,336 lines · 54 tokens per session scan A 396b4771e286
refactor is a skill published in the GitHub repository itokun99/superspec-ai-workflow (2 stars, last pushed 2mo ago), with no licence file. It adds 54 tokens to every session and 9,945 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.
Other skills, from other repositories
mission-control
Interact with Mission Control — AI agent orchestration dashboard. Use when registering agents, managing tasks, syncing skills, or querying agent/task status via MC APIs.
coordinate
Coordinate multiple agents for a complex multi-domain project using PM planning, parallel agent spawning, and QA review.
review
Full QA review pipeline covering security audit (OWASP Top 10), performance analysis, accessibility check (WCAG 2.1 AA), and code quality review.
work
Coordinate multiple agents for a complex multi-domain project using PM planning, parallel agent spawning, and QA review.
commit
Generate Conventional Commits spec git commits (auto-separate by feature).
exec-plan
Create, manage, and track execution plans as first-class repository artifacts in docs/exec-plans/.