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Agent Skill · 研究检索

semgrep-rule-variant-creator(semgrep 规则变体创建者)

semgrep-rule-variant-creator 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。

semgrep-rule-variant-creator 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,第三方扫描已通过,按安装量在研究检索类的 73,674 个 Skill 里排第 3,245。

总安装 46,512周安装 1,856GitHub Stars 4,925下载 15,048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:semgrep-rule-variant-creator(semgrep 规则变体创建者)
来源仓库:https://github.com/trailofbits/skills
仓库路径:skills/semgrep-rule-variant-creator
安装命令:
npx skills add https://github.com/trailofbits/skills --skill semgrep-rule-variant-creator
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/trailofbits/skills --skill semgrep-rule-variant-creator

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。

通过适用性分析和测试驱动的验证,将现有 Semgrep 规则移植到新的目标语言。

采用现有 Semgrep 规则和目标语言作为输入;为每种适用的语言生成独立的规则和测试目录 在移植之前需要对每种语言进行强制适用性分析,拒绝走捷径,例如在不同的 AST 中假设相同的模式 强制执行测试优先方法:在为每种语言创建规则之前编写至少 2 个易受攻击的测试用例和 2 个安全测试用例 在进入下一种语言之前,完成每种语言的完整 4 个阶段周期(适用性分析、测试创建、规则创建、验证)

来源仓库内路径:skills/semgrep-rule-variant-creator

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/trailofbits/skills --skill semgrep-rule-varian…;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

semgrep-rule-variant-creator 怎么安装?

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

semgrep-rule-variant-creator 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。

semgrep-rule-variant-creator 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。

semgrep-rule-variant-creator 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。

semgrep-rule-variant-creator 用的人多吗?

公开数据是累计安装 46,512 次,近一周安装 1,856 次,下载 15,048 次,GitHub 4,925 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。

semgrep-rule-variant-creator 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。
  • 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。
  • 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

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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
semgrep-rule-variant-creator

semgrep 规则变体创建者 · 本页

46,5124,925需要联网MIT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

Semgrep Rule Variant Creator

Port existing Semgrep rules to new target languages with proper applicability analysis and test-driven validation.

When to Use

Ideal scenarios:

  • Porting an existing Semgrep rule to one or more target languages
  • Creating language-specific variants of a universal vulnerability pattern
  • Expanding rule coverage across a polyglot codebase
  • Translating rules between languages with equivalent constructs

When NOT to Use

Do NOT use this skill for:

  • Creating a new Semgrep rule from scratch (use semgrep-rule-creator instead)
  • Running existing rules against code
  • Languages where the vulnerability pattern fundamentally doesn't apply
  • Minor syntax variations within the same language

Input Specification

This skill requires:

  1. Existing Semgrep rule - YAML file path or YAML rule content
  2. Target languages - One or more languages to port to (e.g., "Golang and Java")

Output Specification

For each applicable target language, produces:

<original-rule-id>-<language>/
├── <original-rule-id>-<language>.yaml     # Ported Semgrep rule
└── <original-rule-id>-<language>.<ext>    # Test file with annotations

Example output for porting sql-injection to Go and Java:

sql-injection-golang/
├── sql-injection-golang.yaml
└── sql-injection-golang.go

sql-injection-java/
├── sql-injection-java.yaml
└── sql-injection-java.java

Rationalizations to Reject

When porting Semgrep rules, reject these common shortcuts:

RationalizationWhy It FailsCorrect Approach
"Pattern structure is identical"Different ASTs across languagesAlways dump AST for target language
"Same vulnerability, same detection"Data flow differs between languagesAnalyze target language idioms
"Rule doesn't need tests since original worked"Language edge cases differWrite NEW test cases for target
"Skip applicability - it obviously applies"Some patterns are language-specificComplete applicability analysis first
"I'll create all variants then test"Errors compound, hard to debugComplete full cycle per language
"Library equivalent is close enough"Surface similarity hides differencesVerify API semantics match
"Just translate the syntax 1:1"Languages have different idiomsResearch target language patterns

Strictness Level

This workflow is strict - do not skip steps:

  • Applicability analysis is mandatory: Don't assume patterns translate
  • Each language is independent: Complete full cycle before moving to next
  • Test-first for each variant: Never write a rule without test cases
  • 100% test pass required: "Most tests pass" is not acceptable

Overview

This skill guides the creation of language-specific variants of existing Semgrep rules. Each target language goes through an independent 4-phase cycle:

FOR EACH target language:
  Phase 1: Applicability Analysis → Verdict
  Phase 2: Test Creation (Test-First)
  Phase 3: Rule Creation
  Phase 4: Validation
  (Complete full cycle before moving to next language)

Foundational Knowledge

The semgrep-rule-creator skill is the authoritative reference for Semgrep rule creation fundamentals. While this skill focuses on porting existing rules to new languages, the core principles of writing quality rules remain the same.

Consult semgrep-rule-creator for guidance on:

  • When to use taint mode vs pattern matching - Choosing the right approach for the vulnerability type
  • Test-first methodology - Why tests come before rules and how to write effective test cases
  • Anti-patterns to avoid - Common mistakes like overly broad or overly specific patterns
  • Iterating until tests pass - The validation loop and debugging techniques
  • Rule optimization - Removing redundant patterns after tests pass

When porting a rule, you're applying these same principles in a new language context. If uncertain about rule structure or approach, refer to semgrep-rule-creator first.

Four-Phase Workflow

Phase 1: Applicability Analysis

Before porting, determine if the pattern applies to the target language.

Analysis criteria:

  1. Does the vulnerability class exist in the target language?
  2. Does an equivalent construct exist (function, pattern, library)?
  3. Are the semantics similar enough for meaningful detection?

Verdict options:

  • APPLICABLE → Proceed with variant creation
  • APPLICABLE_WITH_ADAPTATION → Proceed but significant changes needed
  • NOT_APPLICABLE → Skip this language, document why

See applicability-analysis.md for detailed guidance.

Phase 2: Test Creation (Test-First)

Always write tests before the rule.

Create test file with target language idioms:

  • Minimum 2 vulnerable cases (ruleid:)
  • Minimum 2 safe cases (ok:)
  • Include language-specific edge cases
// ruleid: sql-injection-golang
db.Query("SELECT * FROM users WHERE id = " + userInput)

// ok: sql-injection-golang
db.Query("SELECT * FROM users WHERE id = ?", userInput)

Phase 3: Rule Creation

  1. Analyze AST: semgrep --dump-ast -l <lang> test-file
  2. Translate patterns to target language syntax
  3. Update metadata: language key, message, rule ID
  4. Adapt for idioms: Handle language-specific constructs

See language-syntax-guide.md for translation guidance.

Phase 4: Validation

# Validate YAML
semgrep --validate --config rule.yaml

# Run tests
semgrep --test --config rule.yaml test-file

Checkpoint: Output MUST show All tests passed.

For taint rule debugging:

semgrep --dataflow-traces -f rule.yaml test-file

See workflow.md for detailed workflow and troubleshooting.

Quick Reference

TaskCommand
Run testssemgrep --test --config rule.yaml test-file
Validate YAMLsemgrep --validate --config rule.yaml
Dump ASTsemgrep --dump-ast -l <lang> <file>
Debug taint flowsemgrep --dataflow-traces -f rule.yaml file

Key Differences from Rule Creation

Aspectsemgrep-rule-creatorThis skill
InputBug pattern descriptionExisting rule + target languages
OutputSingle rule+testMultiple rule+test directories
WorkflowSingle creation cycleIndependent cycle per language
Phase 1Problem analysisApplicability analysis per language
Library researchAlways relevantOptional (when original uses libraries)

Documentation

REQUIRED: Before porting rules, read relevant Semgrep documentation:

Next Steps

平台分布

Claude Code

27.84%
按下载量换算4,189

OpenCode

22.49%
按下载量换算3,384

Gemini CLI

21.11%
按下载量换算3,177

Cursor

14.12%
按下载量换算2,125

Antigravity

8.46%
按下载量换算1,273

Codex

3.92%
按下载量换算590

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。

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