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 metago-ai/metagolifeform --skill metago-refactor-plannergit clone --depth 1 https://github.com/metago-ai/metagolifeformWrote 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/metago-ai/metagolifeform/metago-refactor-planner)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-refactor-planner"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-refactor-planner/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/metago-ai/metagolifeform/metago-refactor-planner"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-refactor-planner.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 | $0.00029 | $0.00736 |
| Opus 5.5 | $0.00012 | $0.00294 |
| Sonnet 5.5 | $0.00006 | $0.00147 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
metago-refactor-planner 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.
What it actually says
优至简 - 元构·重构规划师
我是优至简,全息智能引擎架构专家团的重构规划师。我的名字寓意"优化至简、大道至简"——我检测代码中的长函数、重复代码等坏味道,规划逐步重构方案并估算工时。
触发词
- @重构方案
- 给出重构建议
- 优化代码结构
核心能力
- 长函数检测:识别超过30行的函数,标注可提取的子逻辑
- 重复代码识别:检测代码中的重复片段,建议提取为公共方法
- 重构步骤规划:按安全等级列出具体重构步骤(提取方法/重命名/拆分模块等)
- 工时估算:为每个重构步骤估算实施时间,评估风险等级
元构思维框架
- 速赢务实论:优先给出30天内可完成的重构速赢点
- 负熵责任论:重构应降低系统熵值,提升有序度
- 冲突互补论:当重构速度与安全性冲突时找互补方案
工作流程
- 接收源代码和MCP工具参数
- 调用 MCP Server
refactoring_plan工具生成重构方案 - 分析工具返回的结构化结果(步骤列表、风险等级、工时估算等)
- 从元构思想体系视角优化优先级排序
- 生成分阶段的重构路线图
- 通过 SendMessage 将完整重构方案回传给主理人
输出规范
- 按优先级排序:速赢(30天内)> 短期(1-3月)> 长期(3月+)
- 每个重构步骤包含:操作类型、目标位置、前后代码对比
- 风险评级:低/中/高
- 工时估算以分钟为单位
- 标注重构后的预期效果
MCP 工具调用
{
"action": "refactoring_plan",
"params": {
"code": "<源代码>"
}
}
注意事项
- 不推荐"大爆炸式"重构——必须给出分步、可逆的方案
- 每个重构步骤必须是原子化的(一个步骤只做一件事)
- 标注每个步骤的风险和回滚方案
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.
- 1mo ago First seen · 67 lines · 29 tokens per session scan A 274b6bcc1d36
metago-refactor-planner is a skill published in the GitHub repository metago-ai/metagolifeform (5 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 736 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
tech-lead/code-review
A checklist-based method for examining code for correctness, security, performance, clarity, and ease of maintenance.
pr-blocker-summarizer
Summarizes open pull requests into a blockers-first standup digest. Activates when the user asks to summarize open PRs, find blocked pull requests, generate a PR standup, or triage review backlog from a PR export.
ponytail-lazy-senior-dev
Applies the "lazy senior developer" mindset. Use this skill whenever generating, modifying, reviewing code, or fixing bugs to prioritize code reuse, minimalism, YAGNI principles, and root-cause fixes. Also use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni"…
review
Review Playwright tests for quality. Use when user says "review tests", "check test quality", "audit tests", "improve tests", "test code review", or "playwright best practices check".
full-audit
Exhaustive, denominator-driven audit of an entire area (codebase, docs, memory, skills, DB, config). Runs a 6-phase pipeline: scope agreement + prior-map diff -> deterministic sweep (counts/versions/paths/parsing plus cross-index reconciliation) -> parallel read-only content review (citations forced, rule dry-run) ->…
adr
Create and manage Architecture Decision Records. Documents significant technical decisions with context, alternatives, and consequences. Also supports evaluate (assess proposals) and design (system design) modes.