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nm-abstract-skill-authoringnm 抽象技能创作

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

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周安装

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下载量

1,444
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:nm-abstract-skill-authoring(nm 抽象技能创作)
来源仓库:https://github.com/athola/nm-abstract-skill-authoring
安装命令:
openclaw skills install nm-abstract-skill-authoring
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install nm-abstract-skill-authoring

简介

nm-abstract-skill-authoring 提供 TDD 方法和说服原则指导新技能开发。

  • 适合在创建 Claude Code 技能时遵循结构化流程和测试规范。
  • 包含模板、用例设计和评审清单,提升技能质量和可维护性。
  • 安装命令:openclaw skills install nm-abstract-skill-authoring。
  • 涉及密钥或用户数据时必须脱敏处理,并遵守最小权限原则。

SKILL.md

name
skill-authoring
description
|
version
1.8.2
triggers
metadata
{"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/abstract", "emoji": "\�\�\️", "requires": {"config": ["night-market.modular-skills"]}}}
source
claude-night-market
source_plugin
abstract
Night Market Skill — ported from claude-night-market/abstract. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

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 WindowDescription 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:

  • TDD Methodology: See modules/tdd-methodology.md for RED-GREEN-REFACTOR cycle details
  • Persuasion Principles: See modules/persuasion-principles.md for compliance research and techniques
  • Description Writing: See modules/description-writing.md for discovery optimization
  • Progressive Disclosure: See modules/progressive-disclosure.md for file structure patterns
  • Anti-Rationalization: See modules/anti-rationalization.md for bulletproofing techniques
  • Graphviz Conventions: See modules/graphviz-conventions.md for process diagram standards
  • Testing with Subagents: See abstract:subagent-testing skill for pressure testing methodology
  • Deployment Checklist: See modules/deployment-checklist.md for final validation

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.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

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能力 3

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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92.28%
按下载量换算1,333

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需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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