Agent审计
- 作者仓库星标 6,677
- 作者更新于 实时读取
- 作者仓库 stagewise
- 领域
- 数据
- 兼容 Agent
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- 信任分
- 88 / 100 · 社区维护
- 作者 / 版本 / 许可
- @stagewise-io · 未声明 license
- Token 消耗评级
- 低消耗
- 接入复杂程度
- 需简单配置
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- 未声明(默认跨平台)
- 底层运行要求
- 无特殊要求
- 文件与系统权限
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- 只读
- 允许写入 / 修改
- Shell 执行
- 网络行为
- 仅限本地
- 安装命令数
- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: Learn
description: Create, extract, or update a skill. Use when authoring a new skill from scratch, extracting know…
category: 数据
runtime: 无特殊运行时
---
# Learn 输出预览
## PART A: 任务判断
- 适用问题:表格、CSV、数据集、指标或分析流程。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Workflows / 1. New skill from scratch / 2. Extract from conversation”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于表格、CSV、数据集、指标或分析流程,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Workflows / 1. New skill from scratch / 2. Extract from conversation”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、执行终端命令、主要在本地完成、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件、执行终端命令;主要在本地完成;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文没有稳定的斜杠命令要求。安装验证后通常全局生效,直接在对话里点名这个 Skill 并描述任务即可。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件、执行终端命令。
先用一个小任务确认它会围绕“Workflows / 1. New skill from scratch / 2. Extract from conversation”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: Learn
description: Create, extract, or update a skill. Use when authoring a new skill from scratch, extracting know…
category: 数据
source: stagewise-io/stagewise
---
# Learn
## 什么时候使用
- 把数据处理方向的常用动作沉淀成 Agent 可调用的技能 适合处理表格、CSV、指标、数据集、分析和可视化报告,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查、可继续迭代的步…
- 面向表格、CSV、数据集、指标或分析流程,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Workflows / 1. New skill from scratch / 2. Extract from conversation」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件、执行终端命令;主要在本地完成;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "Learn" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Workflows / 1. New skill from scratch / 2. Extract from conversation
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> 无特殊运行时 | 读取文件、写入/修改文件、执行终端命令 | 主要在本地完成
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} Learn: write skills
Workflows
1. New skill from scratch
Trigger: "create a skill for X". Ask user intensively, follow their guidance. Build using structure + rules below.
2. Extract from conversation
Trigger: "learn-skill for what we did", "capture this", "extract a skill from above".
- Scan — collect: decisions + rationale, constraints, working patterns, workflows, gotchas, non-obvious domain facts
- Filter — keep only non-obvious, project-specific knowledge. Cut what agent already knows.
- Scope — workspace skill (
.stagewise/skills/) if content uses specific paths/tooling; user skill (.agents/skills/) if broadly reusable - Write — structure into files using rules below, write to path
→ Load references/session-extraction.md for full checklist + signal/noise examples.
3. Update existing skill
Trigger: user corrected agent behavior, overrode guidance, skill is wrong/outdated.
- Read full skill before touching anything
- Replace — overwrite wrong content. Never append "Note: above is outdated"
- Remove redundancies. Every sentence earns its place.
- Preserve what's still accurate
→ Load references/skill-updating.md for full checklist.
After every operation
Output compact summary:
- Created — path + one-line description
- Updated — path + bullets: added / replaced / removed
- Excluded — what was cut + why (extractions only)
Skill structure
skill-name/
├── SKILL.md required, target <200 lines
├── references/ optional, on-demand
│ └── *.md
├── scripts/ optional, executable scripts
└── assets/ optional, output files (templates, icons, etc.)
Frontmatter (required):
---
name: skill-name
description: What it does + when to use it. Specific — drives discovery.
---
No frontmatter duplication. Body must not restate description. Frontmatter = discovery blurb. Body = triggers, steps, constraints.
References section — required if any reference files exist: List every file: what it contains + when to load it. Unlisted = invisible to agent.
## References
- `references/render-loops-debugging.md` — workflow for diagnosing excess re-renders. Load when investigating render performance.
Authoring rules
SKILL.md vs. references
SKILL.md → everything needed for the typical case: triggers, core steps, universal constraints.
References → content needed only sometimes:
- Workflow-specific detail (e.g. extraction checklist, update checklist)
- Examples — illustrative, not required to act
- Rules that apply only in certain cases
- Deep guidance for uncommon situations
Never put universal rules in references. Always-applies rule → SKILL.md. Agent might skip references.
The test: agent handle common case from SKILL.md alone (or + 1 reference max)? No → split is wrong. Fold needed content back into SKILL.md.
Writing style — caveman speak
Write dense. Drop articles, filler, throat-clearing. Fragments OK. Use →, =, + as connectors. Bold key terms. Keep all technical content.
| ❌ Fluffy | ✅ Caveman |
|---|---|
| "You should make sure to always read the file before editing" | "Read before edit. Always." |
| "This step is important because it ensures that..." | "→ prevents X" |
| "I'd recommend using useMemo to memoize the object" | "Wrap in useMemo." |
Rules:
- Imperative/verb-first: "Do X" not "You should do X"
- No meta phrasing: never "this skill tells you to…"
- One term per concept — never synonyms
- Every sentence must add info agent doesn't already have. Cut the rest.
Progressive disclosure
- SKILL.md → target <200 lines. Up to ~500 acceptable; split when approaching limit.
- Reference files → also target <200 lines each.
- One level deep — references link from SKILL.md only. No ref → ref chains.
Degrees of freedom
Match specificity to task fragility:
- High (prose): multiple valid approaches, context-dependent
- Medium (pseudocode/parameterized): preferred pattern exists, variation OK
- Low (exact script): fragile or order-sensitive
References
references/session-extraction.md— extraction checklist, signal/noise examples, scope decisions. Load for workflow 2.references/skill-updating.md— update checklist: conflicts, redundancy, deprecated content. Load for workflow 3.references/workflow-patterns.md— how to document per-process workflows (steps, primitives, examples). Load when skill needs to document multiple distinct processes.references/authoring-guide.md— naming, descriptions, content guidelines, anti-patterns, quality checklist. Load for comprehensive authoring guidance.
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核