Token导航 LogoToken导航

Agent Skill · 研究检索

ln-633-test-value-auditor(ln 633 测试值审核员)

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。

ln-633-test-value-auditor 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;许可证为 MIT,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 17,716。

总安装 6,448周安装 266GitHub Stars 437下载 2,107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
MIT

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:ln-633-test-value-auditor(ln 633 测试值审核员)
来源仓库:https://github.com/levnikolaevich/claude-code-skills
仓库路径:skills/ln-633-test-value-auditor
安装命令:
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-633-test-value-auditor
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-633-test-value-auditor

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。

用于安全审计、权限检查和常见漏洞排查,适合梳理敏感配置和鉴权逻辑。适用于需要分析凭据风险或生成安全复核清单的场景。使用时不能把工具输出直接当最终结论,需先确认最小权限和操作边界。涉及密钥、令牌或用户数据时应脱敏处理,避免影响生产系统。安装前建议确认权限范围和维护状态,确保不会触发不必要的网络或文件操作。

来源仓库内路径:skills/ln-633-test-value-auditor

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/levnikolaevich/claude-code-skills --skill ln-6…;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

ln-633-test-value-auditor 怎么安装?

在终端执行 npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-633-test-va…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ln-633-test-value-auditor 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。

ln-633-test-value-auditor 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。

ln-633-test-value-auditor 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

ln-633-test-value-auditor 用的人多吗?

公开数据是累计安装 6,448 次,近一周安装 266 次,下载 2,107 次,GitHub 437 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。

ln-633-test-value-auditor 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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
ln-633-test-value-auditor

ln 633 测试值审核员 · 本页

6,448437需要联网MIT有提醒

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

Paths: File paths (shared/, references/, ../ln-*) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root. If shared/ is missing, fetch files via WebFetch from https://raw.githubusercontent.com/levnikolaevich/claude-code-skills/master/skills/{path}.

Risk-Based Value Auditor (L3 Worker)

Type: L3 Worker

Specialized worker calculating Usefulness Score for each test.

Purpose & Scope

  • Audit Risk-Based Value (Category 3: Critical Priority)
  • Calculate Usefulness Score = Impact x Probability
  • Make KEEP/REVIEW/REMOVE decisions
  • Calculate compliance score (X/10)

Inputs

MANDATORY READ: Load shared/references/audit_worker_core_contract.md.

Receives contextStore with: tech_stack, testFilesMetadata, codebase_root, output_dir.

Workflow

MANDATORY READ: Load shared/references/two_layer_detection.md for detection methodology.

  1. Parse Context: Extract tech stack, Impact/Probability matrices, test file list, output_dir from contextStore
  2. Calculate Scores (Layer 1): For each test: calculate Usefulness Score = Impact x Probability 2b) Context Analysis (Layer 2 -- MANDATORY): Before finalizing REMOVE decisions, ask:

- Is this a regression guard for a known past bug? -> KEEP regardless of Score - Does this test cover a critical business rule (payment, auth) even if Score<10? -> REVIEW, not REMOVE - Is this the only test covering an edge case in a critical flow? -> KEEP

  1. Classify Decisions: KEEP (>=15), REVIEW (10-14), REMOVE (<10)
  2. Collect Findings: Record each REVIEW/REMOVE decision with severity, location (file:line), effort estimate (S/M/L), recommendation
  3. Calculate Score: Count violations by severity, calculate compliance score (X/10)
  4. Write Report: Build full markdown report in memory per shared/templates/audit_worker_report_template.md, write to {output_dir}/ln-633--global.md in single Write call
  5. Return Summary: Return minimal summary to coordinator (see Output Format)

Usefulness Score Calculation

Formula

Usefulness Score = Business Impact (1-5) x Failure Probability (1-5)

Impact Scoring (1-5)

ScoreImpactExamples
5CriticalMoney loss, security breach, data corruption
4HighCore flow breaks (checkout, login, registration)
3MediumFeature partially broken, degraded UX
2LowMinor UX issue, cosmetic bug
1TrivialCosmetic issue, no user impact

Probability Scoring (1-5)

ScoreProbabilityIndicators
5Very HighComplex algorithm, new technology, many dependencies
4HighMultiple dependencies, concurrency, edge cases
3MediumStandard CRUD, framework defaults, established patterns
2LowSimple logic, well-established library, trivial operation
1Very LowTrivial assignment, framework-generated, impossible to break

Decision Thresholds

Score RangeDecisionAction
>=15KEEPTest is valuable, maintain it
10-14REVIEWConsider if E2E already covers this
<10REMOVEDelete test, not worth maintenance cost. Exception: regression guards for known bugs -> KEEP. Tests covering critical business rules (payment, auth) -> REVIEW

Scoring Examples

Example 1: Payment Processing Test

Test: "processPayment calculates discount correctly"
Impact: 5 (Critical -- money calculation)
Probability: 4 (High -- complex algorithm, multiple payment gateways)
Usefulness Score = 5 x 4 = 20
Decision: KEEP

Example 2: Email Validation Test

Test: "validateEmail returns true for valid email"
Impact: 2 (Low -- minor UX issue if broken)
Probability: 2 (Low -- simple regex, well-tested library)
Usefulness Score = 2 x 2 = 4
Decision: REMOVE (likely already covered by E2E registration test)

Example 3: Login Flow Test

Test: "login with valid credentials returns JWT"
Impact: 4 (High -- core flow)
Probability: 3 (Medium -- standard auth flow)
Usefulness Score = 4 x 3 = 12
Decision: REVIEW (if E2E covers, remove; else keep)

Audit Rules

1. Calculate Score for Each Test

Process:

  • Read test file, extract test name/description
  • Analyze code under test (CUT)
  • Determine Impact (1-5)
  • Determine Probability (1-5)
  • Calculate Usefulness Score

2. Classify Decisions

KEEP (>=15):

  • High-value tests (money, security, data integrity)
  • Core flows (checkout, login)
  • Complex algorithms

REVIEW (10-14):

  • Medium-value tests
  • Question: "Is this already covered by E2E?"
  • If yes -> REMOVE; if no -> KEEP

REMOVE (<10):

  • Low-value tests (cosmetic, trivial)
  • Framework/library tests
  • Duplicates of E2E tests

3. Identify Patterns

Common low-value tests (<10):

  • Testing framework behavior
  • Testing trivial getters/setters
  • Testing constant values
  • Testing type annotations

Scoring Algorithm

MANDATORY READ: Load shared/references/audit_worker_core_contract.md and shared/references/audit_scoring.md.

Severity mapping by Usefulness Score:

  • Score <5 -> CRITICAL (test wastes significant maintenance effort)
  • Score 5-9 -> HIGH (test likely wasteful)
  • Score 10-14 -> MEDIUM (review needed)
  • Score >=15 -> no issue (KEEP)

Output Format

MANDATORY READ: Load shared/references/audit_worker_core_contract.md and shared/templates/audit_worker_report_template.md.

Write JSON summary per shared/references/audit_summary_contract.md. In managed mode the caller passes both runId and summaryArtifactPath; in standalone mode the worker generates its own run-scoped artifact path per shared contract.

Write report to {output_dir}/ln-633--global.md with category: "Risk-Based Value" and checks: usefulness_score, remove_candidates, review_candidates.

Return summary per shared/references/audit_summary_contract.md.

When summaryArtifactPath is absent, write the standalone runtime summary under .hex-skills/runtime-artifacts/runs/{run_id}/evaluation-worker/{worker}--{identifier}.json and optionally echo the same summary in structured output.

Report written: .hex-skills/runtime-artifacts/runs/{run_id}/audit-report/ln-633--global.md
Score: X.X/10 | Issues: N (C:N H:N M:N L:N)

Note: Tests with Usefulness Score >=15 (KEEP) are NOT included in findings -- only issues are reported.

Critical Rules

MANDATORY READ: Load shared/references/audit_worker_core_contract.md.

  • Do not auto-fix: Report only
  • Effort realism: S = <1h, M = 1-4h, L = >4h
  • Score objectivity: Base Impact and Probability on code analysis, not assumptions
  • KEEP tests not reported: Only REVIEW and REMOVE decisions appear in findings
  • Cross-reference E2E: REVIEW decisions depend on whether E2E already covers the scenario

Definition of Done

MANDATORY READ: Load shared/references/audit_worker_core_contract.md.

  • contextStore parsed successfully (including output_dir)
  • Usefulness Score calculated for each test (Impact x Probability)
  • Decisions classified: KEEP (>=15), REVIEW (10-14), REMOVE (<10)
  • Findings collected with severity, location, effort, recommendation
  • Score calculated using penalty algorithm
  • Report written to {output_dir}/ln-633--global.md (atomic single Write call)
  • Summary written per contract

Reference Files

  • Audit output schema: shared/references/audit_output_schema.md

Version: 3.0.0 Last Updated: 2025-12-23

平台分布

Claude Code

30.57%
按下载量换算644

Gemini CLI

20.09%
按下载量换算423

Codex

17.81%
按下载量换算375

OpenCode

12.59%
按下载量换算265

Antigravity

7.07%
按下载量换算149

windsurf

3.1%
按下载量换算65

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

继续浏览同类 Skills