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threat-patch威胁补丁

Agent Skill

threat-patch 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。

总安装

1,944

周安装

81

GitHub Stars

131

下载量

648
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:threat-patch(威胁补丁)
来源仓库:https://github.com/pproenca/dot-skills
仓库路径:skills/threat-patch
安装命令:
npx skills add https://github.com/pproenca/dot-skills --skill threat-patch
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/pproenca/dot-skills --skill threat-patch

简介

threat-patch 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词或任务场景快速定位候选结果时使用。

  • 适用于研究检索类任务,可结合来源仓库和原始 README 核验具体用法,帮助用户在信息过载时精准筛选内容。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和是否触发联网或文件读写操作。
  • 建议在使用前检查维护状态和实际功能边界,避免依赖未经验证的自动化行为。
  • 注意该技能不涉及代码生成或系统修改,主要用于信息辅助决策。

SKILL.md

Threat Patch

Reads security findings and produces minimal, surgical code patches with structured documentation. Fixes are code-grounded — each patch targets specific files and functions identified in the finding. Output includes a summary, validation steps, and the code changes.

When to Apply

  • User provides a findings.json (from threat-model) and wants fixes
  • User provides a Codex security findings CSV and wants fixes
  • User has a THREAT-MODEL.md and wants to remediate identified risks
  • User describes a specific vulnerability and wants a patch
  • Reviewing security scanner output and needs actionable fixes
  • After a security audit, turning findings into code changes

Input Sources (priority order)

SourceWhat It ProvidesHow to Use
findings.json (from threat-model)Structured findings with data flow traces, systemic groupings, exploit chains, and severity ratingsRead directly — richest input, already triaged and grouped
Codex CSVTitle, description, severity, relevant_paths per findingRun scripts/parse-findings.sh <csv-path> to extract structured output
THREAT-MODEL.mdHuman-readable threat modelExtract findings from Criticality Calibration section
Inline descriptionUser describes a specific vulnerabilityParse from conversation context

When findings.json is available, it's the preferred input — it includes data flow traces (entry → chain → sink) that directly inform where to apply fixes, and systemic groupings that suggest centralized fixes over individual patches.

Workflow Overview

1. Ingest Findings   → Read findings.json / CSV / descriptions
2. Triage & Group    → Sort by severity, use systemic groupings if available
3. For each finding:
   a. Read Code      → Open relevant_paths, understand the pattern
   b. Confirm        → Verify issue is still present in HEAD
   c. Design Fix     → Determine minimal fix approach
   d. Implement      → Write the code changes
   e. Document       → Summary + Validation + Attack-path (if needed)
   f. Test           → Run relevant tests
4. Output            → Per-patch deliverable with summary and diff
5. Update State      → Mark patched findings in findings.json (if present)

How to Use

  1. Read workflow for the detailed patching methodology at each step
  2. Read fix patterns when designing fixes — common patterns by vulnerability class
  3. Read output format for the documentation template per patch
  4. If input is findings.json: read it directly — it's already structured
  5. If input is Codex CSV: run scripts/parse-findings.sh <csv-path> to extract structured output

Key Principles

  • Minimal diff: Fix the vulnerability, don't refactor surrounding code. The smallest correct patch is the best patch
  • Centralize over duplicate: When multiple code paths share the same vulnerability pattern, extract a shared helper rather than patching each site independently
  • Explicit error paths: Add specific error types for rejected inputs with clear operator feedback, not silent failures or generic errors
  • Confirm before fixing: Always verify the finding is still present in HEAD — code may have moved or been refactored since the finding was detected
  • User approval before edits: Present the fix design (files to change, approach) and wait for approval before modifying source code. Hooks gate Edit/Write tool calls for additional safety
  • Document even failures: When a fix can't be tested due to environment limitations, document the test command and the limitation

Guardrails

This skill modifies source code. Safety measures:

  • PreToolUse hooks on Edit and Write tools prompt for confirmation before each file change
  • Confirmation gate in the workflow between fix design and implementation
  • Revert path: Without commits (default), use git checkout -- <files> to undo. With commits, use git revert

Output Modes

Code patch — when a fix is implemented:

  • Summary of what was confirmed and what the fix does
  • Testing section with build/test commands
  • The actual code changes

Analysis only — when the fix needs user decision or architectural changes:

  • Summary of what was confirmed
  • Validation checklist
  • Attack-path analysis (path, likelihood, impact, assumptions, controls, blindspots)

References

FileWhen to Read
references/workflow.mdBefore starting — detailed approach for each patching phase
references/fix-patterns.mdWhen designing fixes — patterns by vulnerability class
references/output-format.mdWhen documenting — templates for both output modes

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

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

Codex

32.79%
按下载量换算212

Claude

28.7%
按下载量换算186

Cursor

20.08%
按下载量换算130

Gemini CLI

9.12%
按下载量换算59

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

来源信息

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