Agent测试
- 作者仓库星标 289
- 作者更新于 实时读取
- 作者仓库 claude-night-market
- 领域
- 工程开发
- 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
- @athola · 未声明 license
- Token 消耗评级
- 低消耗
- 接入复杂程度
- 即装即用
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- Windows
- 底层运行要求
- Python
- 文件与系统权限
-
- 只读
- 允许写入 / 修改
- 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: skill-authoring
description: Guide creating Claude Code skills with TDD and persuasion principles. Use for new skill developm…
category: 工程开发
runtime: Python
---
# skill-authoring 输出预览
## PART A: 任务判断
- 适用问题:代码实现、重构、调试或代码审查。
- 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“Overview / The Iron Law / Skill Types”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代码实现、重构、调试或代码审查,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Overview / The Iron Law / Skill Types”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、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;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。 原文出现了 `/skills` 这类斜杠命令;如果你的 Agent 支持命令触发,优先用命令开场,再补充目标和边界。
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。
先用一个小任务确认它会围绕“Overview / The Iron Law / Skill Types”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: skill-authoring
description: Guide creating Claude Code skills with TDD and persuasion principles. Use for new skill developm…
category: 工程开发
source: athola/claude-night-market
---
# skill-authoring
## 什么时候使用
- 用于组织测试、定位失败并形成修复闭环 适合处理工程开发场景下的代码实现、调试、重构、测试或代码审查,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、可继续迭代的步骤;通常不需…
- 面向代码实现、重构、调试或代码审查,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「Overview / The Iron Law / Skill Types」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件;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 "skill-authoring" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Overview / The Iron Law / Skill Types
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> Python | 读取文件、写入/修改文件 | 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
} Skill Authoring Guide
Overview
Writing effective Claude Code skills requires Test-Driven Development (TDD) and persuasion principles from compliance research. We treat skill writing as process documentation that needs empirical validation rather than just theoretical instruction. Skills are behavioral interventions designed to change model behavior in measurable ways.
By using TDD, we ensure skills address actual failure modes identified through testing. Optimized descriptions improve discovery, while a modular structure supports progressive disclosure to manage token usage. This framework also includes anti-rationalization patterns to prevent the assistant from bypassing requirements.
The Iron Law
NO SKILL WITHOUT A FAILING TEST FIRST
Every skill must begin with documented evidence of Claude failing without it. This validates that you are solving a real problem. No implementation should proceed without a failing test, and no completion claim should be accepted without evidence. Detailed enforcement patterns for adversarial verification and coverage gates are available in imbue:proof-of-work.
Skill Types
We categorize skills into three types: Technique skills for specific methods, Pattern skills for recurring solutions, and Reference skills for quick lookups and checklists. This helps organize interventions into the most effective format for the task.
Quick Start
Skill Analysis
```bash
Analyze skill complexity
python scripts/analyze.py
Estimate tokens
python scripts/tokens.py ```
Validation
```bash
Validate skill structure
python scripts/abstract_validator.py --check ```
Verification: Run analysis and review token estimates before proceeding.
Description Optimization
Skill descriptions must be optimized for semantic search and explicit triggering. Follow the formula [What it does] + [When to use it] + [Key triggers]. Use a third-person voice (e.g., "Guides...", "Provides...") and include specific, concrete use cases. Avoid marketing language or vague phrases like "helps with coding."
Skill Character Budget (Claude Code 2.1.32+)
Skill description character budgets now scale with context window at 2% of available context. This means:
| Context Window | Description Budget |
|---|---|
| 200K (Sonnet/Haiku) | ~4,000 characters |
| 1M (Opus 4.6 GA) | ~20,000 characters |
Previously constrained skills can use more descriptive text on larger windows. However, keep descriptions concise regardless — longer is not better. The scaling primarily prevents truncation for skills with legitimately complex trigger conditions, not as an invitation to add verbose content.
Plugin Name Auto-Display (Claude Code 2.1.33+)
Plugin names are now automatically shown alongside skill descriptions in the /skills menu. Do not repeat the plugin name in skill descriptions — it is redundant and wastes character budget. Focus descriptions on what the skill does and when to use it.
The TDD Cycle for Skills
RED Phase: Document Baseline Failures
Establish empirical evidence that an intervention is needed. Create at least three pressure scenarios that combine time pressure and ambiguity. Run these in a fresh instance without the skill active and document the exact failures, such as skipped error handling or missing validation.
GREEN Phase: Minimal Skill Implementation
Create the smallest intervention that addresses the documented failures. Write the SKILL.md with required frontmatter and content that directly counters the baseline failures. Include one example of correct behavior and verify that the same pressure scenarios now show measurable improvement.
REFACTOR Phase: Anti-Rationalization
Eliminate the ability for Claude to explain away requirements. Run pressure scenarios with the skill active to identify common rationalizations, such as claiming a task is "too simple" for the full process. Add explicit counters, such as exception tables and red flag lists, until rationalizations stop.
Anti-Rationalization
Skills must explicitly counter patterns where Claude attempts to bypass requirements. Common excuses include claiming a task is "too simple" or that a "spirit vs letter of the law" approach is sufficient. Skills should include red flag lists for self-checking, such as "Stop if you think: this is too simple for the full process." When exceptions are necessary, document them explicitly to prevent unauthorized shortcuts.
Module References
For detailed implementation guidance:
Core authoring cycle:
- TDD Methodology: See
modules/tdd-methodology.mdfor RED-GREEN-REFACTOR cycle details - Persuasion Principles: See
modules/persuasion-principles.mdfor compliance research and techniques - Description Writing: See
modules/description-writing.mdfor discovery optimization - Progressive Disclosure: See
modules/progressive-disclosure.mdfor file structure patterns - Anti-Rationalization: See
modules/anti-rationalization.mdfor bulletproofing techniques - Graphviz Conventions: See
modules/graphviz-conventions.mdfor process diagram standards
Working with concrete skills (load when implementing or debugging):
- Annotated Examples: See
modules/examples.mdfor walk-throughs of well-authored skills in this repo - Advanced Patterns: See
modules/advanced-patterns.mdfor skill-to-skill coordination, conditional behavior, and scaling across activation contexts - Authentication: See
modules/authentication.mdfor skills that invokegh,glab, MCP servers, or other authenticated tools - Error Handling: See
modules/error-handling.mdfor missing tools, timeouts, partial subagent results, and permission denials - Troubleshooting: See
modules/troubleshooting.mdfor diagnosing skills that do not behave as the test corpus says they should
Validation and deployment (load when shipping):
- Validation: See
modules/validation.mdfor frontmatter parsing, reference resolution, and structural checks before merge - Testing with Subagents: See
modules/testing-with-subagents.mdfor running the Iron Law test in a fresh subagent (andabstract:subagent-testingfor the broader pressure-testing methodology) - Deployment Checklist: See
modules/deployment-checklist.mdfor final validation before promoting a skill
Deployment and Quality Gates
Before deploying, verify that the RED, GREEN, and REFACTOR phases are complete and documented. Frontmatter must be valid, descriptions optimized, and line counts kept under 500 lines. Ensure all module references are valid and at least one concrete example is included.
Scribe Validation
All markdown files must pass scribe validation. This includes a slop scan to ensure a score under 2.5 and doc verification to confirm all file paths and command examples work. Bullet-to-prose ratios must remain under 60% to maintain readability. Use Skill(scribe:slop-detector) and Agent(scribe:doc-verifier) for these checks.
Integration and Best Practices
Individual skills are created using skill-authoring, while modular-skills handles the architecture of larger structures. skills-eval provides ongoing quality assessment. Avoid the common pitfall of writing skills based on theoretical behavior; always use documented failures to guide development. Use progressive disclosure to prevent monolithic files and ensure that each intervention remains focused and token-efficient.
Skill Directory Variable (2.1.69+)
Skills can reference their own directory using
${CLAUDE_SKILL_DIR} in SKILL.md content. This
variable resolves to the absolute path of the
directory containing the SKILL.md file. Use it for
referencing sibling files, data assets, or module
paths without hardcoding absolute paths:
See `${CLAUDE_SKILL_DIR}/modules/advanced-patterns.md`
for detailed patterns.
Run: `python3 ${CLAUDE_SKILL_DIR}/scripts/check.py`
This is especially useful for skills that ship alongside scripts or data files and need portable path references that work regardless of where the plugin is installed.
Description Colon Fix (2.1.69+)
Skill descriptions containing colons (e.g.,
description: "Triggers include: X, Y, Z") previously
failed to load from SKILL.md frontmatter. This is
fixed in 2.1.69. Skills without a description: field
also now appear in the available skills list (previously
they were silently excluded).
Troubleshooting
Common Issues
Skill not loading
Check YAML frontmatter syntax and required fields.
As of 2.1.69, skills without a description: field
still appear in the skills list, but descriptions
with colons must be quoted in YAML frontmatter.
Token limits exceeded Use progressive disclosure - move details to modules
Modules not found Verify module paths in SKILL.md are correct
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