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Agent Skill · 研究检索

skill-validator(技能验证器)

skill-validator 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

skill-validator 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 41,842。

总安装 1,129周安装 48GitHub Stars 158下载 396核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:skill-validator(技能验证器)
来源仓库:https://github.com/panaversity/agentfactory
仓库路径:skills/skill-validator
安装命令:
npx skills add https://github.com/panaversity/agentfactory --skill skill-validator
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/panaversity/agentfactory --skill skill-validator

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

skill-validator 用于查找、检索和筛选相关信息,支持多宿主环境快速定位候选结果。适合在关键词搜索、任务场景匹配或来源线索梳理时使用。可结合原始 README 和安装命令进一步验证具体用法。使用前应确认权限范围、维护状态及是否涉及联网或文件操作。建议核对来源仓库状态,避免推荐未经安全评估的第三方能力包。

来源仓库内路径:skills/skill-validator

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/panaversity/agentfactory --skill skill-validat…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

skill-validator 怎么安装?

在终端执行 npx skills add https://github.com/panaversity/agentfactory --skill skill-validator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

skill-validator 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

skill-validator 需要什么权限?

权限级别是需要联网。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。

skill-validator 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

skill-validator 用的人多吗?

公开数据是累计安装 1,129 次,近一周安装 48 次,下载 396 次,GitHub 158 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

skill-validator 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
skill-validator

技能验证器 · 本页

1,129158需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Skill Validator

Validate any skill against production-level quality criteria.

Before Implementation

SourceGather
Skill DirectorySKILL.md, references/, scripts/, assets/
Skill TypeBuilder, Guide, Automation, Analyzer, or Validator
ConversationValidation purpose (audit, improvement, review)

What This Skill Does NOT Do

  • Test skills in production environments
  • Automatically fix identified issues
  • Validate skill runtime behavior (only structure/content)
  • Replace human judgment on domain accuracy

Validation Workflow

Phase 1: Gather Context

  1. Read the skill's SKILL.md completely
  2. Identify skill type from frontmatter description:

- Builder skill (creates artifacts) - Guide skill (provides instructions) - Automation skill (executes workflows) - Analyzer skill (extracts insights) - Validator skill (enforces quality) - Hybrid skill (combination of above)

  1. Read all reference files in references/ directory
  2. Check for assets/scripts directories
  3. Note frontmatter fields (name, description, allowed-tools, model)

Phase 2: Apply Criteria

Evaluate against 9 criteria categories. Each criterion scores 0-3:

  • 0: Missing/Absent
  • 1: Present but inadequate
  • 2: Adequate implementation
  • 3: Excellent implementation

Criteria Categories

1. Structure & Anatomy (Weight: 12%)

CriterionWhat to Check
SKILL.md existsRoot file present
Line count<500 lines (context is precious)
Frontmatter completename and description present in YAML
Name constraints1-64 chars; lowercase alphanumeric + hyphens; no consecutive hyphens; can't start/end with hyphen; must match directory name
Description format[What] + [When] format; ≤1024 chars
Description styleThird-person: "This skill should be used when..."
No extraneous filesNo README.md, CHANGELOG.md, LICENSE in skill dir
Progressive disclosureDetails in references/, not bloated SKILL.md
Asset organizationTemplates in assets/, scripts in scripts/
Large file guidanceIf references >10k words, grep patterns in SKILL.md

Fail condition: Missing SKILL.md or >800 lines = automatic fail

2. Content Quality (Weight: 15%)

CriterionWhat to Check
ConcisenessNo verbose explanations, context is public good
Imperative formInstructions use "Do X" not "You should do X"
Appropriate freedomConstraints where needed, flexibility where safe
Scope clarityClear what skill does AND does not do
No hallucination riskNo instructions that encourage making up info
Output specificationClear expected outputs defined

3. User Interaction (Weight: 12%)

CriterionWhat to Check
Clarification triggersAsks questions before acting on ambiguity
Required vs optionalDistinguishes must-know from nice-to-know
Graceful handlingWhat to do when user doesn't answer
No over-askingDoesn't ask obvious or inferrable questions
Question pacingAvoids too many questions in single message
Context awarenessUses available context before asking

Key pattern to look for:

## Required Clarifications
1. Question about X
2. Question about Y

## Optional Clarifications
3. Question about Z (if relevant)

Note: Avoid asking too many questions in a single message.

4. Documentation & References (Weight: 10%)

CriterionWhat to Check
Source URLsOfficial documentation links provided
Reference filesComplex details in references/ not main file
Fetch guidanceInstructions to fetch docs for unlisted patterns
Version awarenessNotes about checking for latest patterns
Example coverageGood/bad examples for key patterns

Key pattern to look for:

| Resource | URL | Use For |
|----------|-----|---------|
| Official Docs | https://... | Complex cases |

5. Domain Standards (Weight: 10%)

CriterionWhat to Check
Best practicesFollows domain conventions (e.g., WCAG, OWASP)
Enforcement mechanismChecklists, validation steps, must-verify items
Anti-patternsLists what NOT to do
Quality gatesOutput checklist before delivery

Key pattern to look for:

### Must Follow
- [ ] Requirement 1
- [ ] Requirement 2

### Must Avoid
- Antipattern 1
- Antipattern 2

6. Technical Robustness (Weight: 8%)

CriterionWhat to Check
Error handlingGuidance for failure scenarios
Security considerationsInput validation, secrets handling if relevant
DependenciesExternal tools/APIs documented
Edge casesCommon edge cases addressed
TestabilityCan outputs be verified?

7. Maintainability (Weight: 8%)

CriterionWhat to Check
ModularityReferences are self-contained topics
Update pathEasy to update when standards change
No hardcoded valuesUses placeholders/variables where appropriate
Clear organizationLogical section ordering

8. Zero-Shot Implementation (Weight: 12%)

Skills should enable single-interaction implementation with embedded expertise.

CriterionWhat to Check
Before Implementation sectionContext gathering guidance present
Codebase contextGuidance to scan existing structure/patterns
Conversation contextUses discussed requirements/decisions
Embedded expertiseDomain knowledge in references/, not runtime discovery
User-only questionsOnly asks for USER requirements, not domain knowledge

Key pattern to look for:

## Before Implementation

Gather context to ensure successful implementation:

| Source | Gather |
|--------|--------|
| **Codebase** | Existing structure, patterns, conventions |
| **Conversation** | User's specific requirements |
| **Skill References** | Domain patterns from `references/` |
| **User Guidelines** | Project-specific conventions |

Red flag: Skill instructs to "research" or "discover" domain knowledge at runtime instead of embedding it.

9. Reusability (Weight: 13%)

Skills should handle variations, not single requirements.

CriterionWhat to Check
Handles variationsNot hardcoded to single use case
Variable elementsClarifications capture what VARIES
Constant patternsDomain best practices encoded as constants
Not requirement-specificAvoids hardcoded data, tools, configs
Abstraction levelAppropriate generalization for domain

Good example:

"Create visualizations - adaptable to data shape, chart type, library"

Bad example (too specific):

"Create bar chart with sales data using Recharts"

Key check: Does the skill work for multiple use cases within its domain?


Type-Specific Validation

After scoring general criteria, verify type-specific requirements:

TypeMust Have
BuilderClarifications, Output Spec, Domain Standards, Output Checklist
GuideWorkflow Steps, Examples (Good/Bad), Official Docs links
AutomationScripts in scripts/, Dependencies, Error Handling, I/O Spec
AnalyzerAnalysis Scope, Evaluation Criteria, Output Format, Synthesis
ValidatorQuality Criteria, Scoring Rubric, Thresholds, Remediation

Scoring: Deduct 10 points if type-specific requirements missing for identified type.


Scoring Guide

Category Scores

Calculate each category score:

Category Score = (Sum of criterion scores) / (Max possible) * 100

Overall Score

Overall = Σ(Category Score × Weight)

Rating Thresholds

ScoreRatingMeaning
90-100ProductionReady for wide use
75-89GoodMinor improvements needed
60-74AdequateFunctional but needs work
40-59DevelopingSignificant gaps
0-39IncompleteMajor rework required

Output Format

Generate validation report:

# Skill Validation Report: [skill-name]

**Rating**: [Production/Good/Adequate/Developing/Incomplete]
**Overall Score**: [X]/100

## Summary
[2-3 sentence assessment]

## Category Scores

| Category | Score | Weight | Weighted |
|----------|-------|--------|----------|
| Structure & Anatomy | X/100 | 12% | X |
| Content Quality | X/100 | 15% | X |
| User Interaction | X/100 | 12% | X |
| Documentation | X/100 | 10% | X |
| Domain Standards | X/100 | 10% | X |
| Technical Robustness | X/100 | 8% | X |
| Maintainability | X/100 | 8% | X |
| Zero-Shot Implementation | X/100 | 12% | X |
| Reusability | X/100 | 13% | X |
| **Type-Specific Deduction** | -X | - | -X |

## Critical Issues (if any)
- [Issue requiring immediate fix]

## Improvement Recommendations
1. **High Priority**: [Specific action]
2. **Medium Priority**: [Specific action]
3. **Low Priority**: [Specific action]

## Strengths
- [What skill does well]

Quick Validation Checklist

For rapid assessment, check these critical items:

Structure & Frontmatter

  • SKILL.md <500 lines
  • Frontmatter: name (≤64 chars, lowercase, hyphens) + description (≤1024 chars)
  • Description uses third-person style ("This skill should be used when...")
  • No README.md/CHANGELOG.md in skill directory

Content & Interaction

  • Has clarification questions (Required vs Optional)
  • Has output specification
  • Has official documentation links

Zero-Shot & Reusability

  • Has "Before Implementation" section (context gathering)
  • Domain expertise embedded in references/ (not runtime discovery)
  • Handles variations (not requirement-specific)

Type-Specific (check based on skill type)

  • Builder: Clarifications + Output Spec + Standards + Checklist
  • Guide: Workflow + Examples + Docs
  • Automation: Scripts + Dependencies + Error Handling
  • Analyzer: Scope + Criteria + Output Format
  • Validator: Criteria + Scoring + Thresholds + Remediation

If 10+ checked: Likely Production (90+) If 7-9 checked: Likely Good (75-89) If 5-6 checked: Likely Adequate (60-74) If <5 checked: Needs significant work


Reference Files

FileWhen to Read
references/detailed-criteria.mdDeep evaluation of specific criterion
references/scoring-examples.mdExample validations for calibration
references/improvement-patterns.mdCommon fixes for common issues

Usage Examples

Validate a skill

Validate the chatgpt-widget-creator skill against production criteria

Quick audit

Quick validation check on mcp-builder skill

Focused review

Check if skill-creator skill has proper user interaction patterns

平台分布

Codex

34.03%
按下载量换算135

Claude

30.4%
按下载量换算120

Cursor

17.93%
按下载量换算71

Gemini CLI

9.34%
按下载量换算37

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

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。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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