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ring%3adev-fuzz-testingRing%3adev 模糊测试

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

总安装

588

周安装

25

GitHub Stars

180

下载量

206
CodexClaudeCursorGemini CLI

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

unknown

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:ring%3adev-fuzz-testing(Ring%3adev 模糊测试)
来源仓库:https://github.com/lerianstudio/ring
仓库路径:skills/ring%3Adev-fuzz-testing
安装命令:
npx skills add https://github.com/lerianstudio/ring --skill ring:dev-fuzz-testing
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/lerianstudio/ring --skill ring:dev-fuzz-testing

简介

用于辅助测试设计、自动化测试、用例整理和回归验证,适合生成模糊测试用例。

  • 支持根据输入边界条件自动生成异常数据。
  • 需确认项目测试框架与运行命令后再执行。
  • 通过 GitHub 仓库获取技能定义,需结合原始 README 确认具体用法。
  • ring%3adev-fuzz-testing 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Dev Fuzz Testing (Gate 4)

Overview

Ensure critical parsing and input handling code has fuzz tests to discover crashes and edge cases through random input generation.

Core principle: Fuzz tests find bugs you didn't think to test for. They're mandatory for all code that handles external input.

<block_condition>

  • No fuzz functions = FAIL
  • Seed corpus < 5 entries = FAIL
  • Any crash found = FAIL (fix and re-run) </block_condition>

CRITICAL: Role Clarification

This skill ORCHESTRATES. QA Analyst Agent (fuzz mode) EXECUTES.

WhoResponsibility
This SkillGather requirements, dispatch agent, track iterations
QA Analyst AgentWrite fuzz tests, generate corpus, run fuzz

Standards Source (Cache-First Pattern)

Standards Source (Cache-First Pattern): This sub-skill reads standards from state.cached_standards populated by dev-cycle Step 1.5. If invoked outside a cycle (standalone), it falls back to direct WebFetch with a warning. See shared-patterns/standards-cache-protocol.md for protocol details.

Standards Reference

MANDATORY: Load testing-fuzz.md standards via the cache-first pattern below.

URL: https://raw.githubusercontent.com/LerianStudio/ring/main/dev-team/docs/standards/golang/testing-fuzz.md

Cache-first loading protocol: For each required standards URL: IF state.cached_standards[url] exists: → Read content from state.cached_standards[url].content → Log: "Using cached standard: {url} (fetched {state.cached_standards[url].fetched_at})" ELSE: → WebFetch url (fallback — should not happen if orchestrator ran Step 1.5) → Log warning: "Standard {url} was not pre-cached; fetched inline"

<fetch_required> https://raw.githubusercontent.com/LerianStudio/ring/main/dev-team/docs/standards/golang/testing-fuzz.md </fetch_required>


Step 1: Validate Input

REQUIRED INPUT:
- unit_id: [TASK id — runs at task cadence, not per subtask]
- implementation_files: [union of changed files across all subtasks of this task]
- language: [go only for native fuzz]
- gate0_handoffs: [array of per-subtask Gate 0 handoffs — one entry per subtask]

OPTIONAL INPUT:
- gate3_handoff: [full Gate 3 output]

if any REQUIRED input is missing:
  → STOP and report: "Missing required input: [field]"

if language != "go":
  → STOP and report: "Native fuzz testing only supported for Go (Go 1.18+)"

Step 2: Dispatch QA Analyst Agent (Fuzz Mode)

Task tool:
  subagent_type: "ring:qa-analyst"
  prompt: |
    **MODE:** FUZZ TESTING (Gate 4)

    **Standards:** Load testing-fuzz.md

    **Input:**
    - Unit ID: {unit_id}
    - Implementation Files: {implementation_files}
    - Language: {language}

    **Requirements:**
    1. Create fuzz functions (FuzzXxx naming)
    2. Add seed corpus (minimum 5 entries per function)
    3. Run fuzz tests for 30 seconds
    4. Report any crashes found

    **Output Sections Required:**
    - ## Fuzz Testing Summary
    - ## Corpus Report
    - ## Handoff to Next Gate

Step 3: Evaluate Results

Parse agent output:

if "Status: PASS" in output:
  → Gate 4 PASSED
  → Return success with metrics

if "Status: FAIL" in output:
  → Dispatch fix to implementation agent
  → Re-run fuzz tests (max 3 iterations)
  → If still failing: ESCALATE to user

Step 4: Generate Output

## Fuzz Testing Summary
**Status:** {PASS|FAIL}
**Fuzz Functions:** {count}
**Corpus Entries:** {count}
**Crashes Found:** {count}

## Corpus Report
| Function | Entries | Crashes |
|----------|---------|---------|
| {function_name} | {count} | {count} |

## Handoff to Next Gate
- Ready for Gate 5 (Property Testing): {YES|NO}
- Iterations: {count}

Severity Calibration

SeverityCriteriaExamples
CRITICALCrash found, security vulnerability discoveredPanic on input, buffer overflow, memory corruption
HIGHNo fuzz functions, missing corpusZero FuzzXxx functions, empty seed corpus
MEDIUMInsufficient corpus, naming issuesLess than 5 corpus entries, non-standard function names
LOWCoverage gaps, optimizationMissing edge case seeds, fuzz duration improvements

Report all severities. CRITICAL = immediate fix and re-fuzz. HIGH = fix before gate pass. MEDIUM = fix in iteration. LOW = document.


Anti-Rationalization Table

RationalizationWhy It's WRONGRequired Action
"Unit tests cover edge cases"You can't test what you don't think of. Fuzz finds unknowns.Write fuzz tests
"Code is too simple for fuzz"Simple code can still crash on malformed input.Write fuzz tests
"Fuzz testing is slow"30 seconds per function. Crashes in production are slower.Write fuzz tests
"We validate input anyway"Validation can have bugs too. Fuzz tests the validators.Write fuzz tests

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

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

Codex

38.03%
按下载量换算78

Claude

27.86%
按下载量换算57

Cursor

20.27%
按下载量换算42

Gemini CLI

9.99%
按下载量换算21

安全审计

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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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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