본문으로 건너뛰기
cccskills
무료GitHub에 공개

security-scan

Audit Claude Code configuration with AgentShield to find exposed secrets, excessive permissions, unsafe hooks, and prompt injection risks, where malicious instructions influence an agent. Generate reports, apply supported automatic fixes, or create a security-focused starter configuration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions. Use when auditing a .claude/ directory — CLAUDE.md, settings.json, MCP servers, hooks, or agent definitions.

설치 방법 보기

이럴 때 유용합니다

  • Checking configuration when starting a Claude Code project
  • Auditing permission and MCP configuration changes
  • Reviewing existing configuration in a newly joined repository
  • Adding configuration scans to CI

포함된 파일(1)

  • SKILL.md4.5 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Security Scan Skill

Audit your Claude Code configuration for security issues using AgentShield.

When to Activate

  • Setting up a new Claude Code project
  • After modifying .claude/settings.json, CLAUDE.md, or MCP configs
  • Before committing configuration changes
  • When onboarding to a new repository with existing Claude Code configs
  • Periodic security hygiene checks

What It Scans

FileChecks
CLAUDE.mdHardcoded secrets, auto-run instructions, prompt injection patterns
settings.jsonOverly permissive allow lists, missing deny lists, dangerous bypass flags
mcp.jsonRisky MCP servers, hardcoded env secrets, npx supply chain risks
hooks/Command injection via interpolation, data exfiltration, silent error suppression
agents/*.mdUnrestricted tool access, prompt injection surface, missing model specs

Prerequisites

AgentShield must be installed. Check and install if needed:

# Check if installed
npx ecc-agentshield --version

# Install globally (recommended)
npm install -g ecc-agentshield

# Or run directly via npx (no install needed)
npx ecc-agentshield scan .

Usage

Basic Scan

Run against the current project's .claude/ directory:

# Scan current project
npx ecc-agentshield scan

# Scan a specific path
npx ecc-agentshield scan --path /path/to/.claude

# Scan with minimum severity filter
npx ecc-agentshield scan --min-severity medium

Output Formats

# Terminal output (default) — colored report with grade
npx ecc-agentshield scan

# JSON — for CI/CD integration
npx ecc-agentshield scan --format json

# Markdown — for documentation
npx ecc-agentshield scan --format markdown

# HTML — self-contained dark-theme report
npx ecc-agentshield scan --format html > security-report.html

Auto-Fix

Apply safe fixes automatically (only fixes marked as auto-fixable):

npx ecc-agentshield scan --fix

This will:

  • Replace hardcoded secrets with environment variable references
  • Tighten wildcard permissions to scoped alternatives
  • Never modify manual-only suggestions

Opus 4.6 Deep Analysis

Run the adversarial three-agent pipeline for deeper analysis:

# Requires ANTHROPIC_API_KEY
export ANTHROPIC_API_KEY=your-key
npx ecc-agentshield scan --opus --stream

This runs:

  1. Attacker (Red Team) — finds attack vectors
  2. Defender (Blue Team) — recommends hardening
  3. Auditor (Final Verdict) — synthesizes both perspectives

Initialize Secure Config

Scaffold a new secure .claude/ configuration from scratch:

npx ecc-agentshield init

Creates:

  • settings.json with scoped permissions and deny list
  • CLAUDE.md with security best practices
  • mcp.json placeholder

GitHub Action

Add to your CI pipeline:

- uses: affaan-m/agentshield@v1
  with:
    path: '.'
    min-severity: 'medium'
    fail-on-findings: true

Severity Levels

GradeScoreMeaning
A90-100Secure configuration
B75-89Minor issues
C60-74Needs attention
D40-59Significant risks
F0-39Critical vulnerabilities

Interpreting Results

Critical Findings (fix immediately)

  • Hardcoded API keys or tokens in config files
  • Bash(*) in the allow list (unrestricted shell access)
  • Command injection in hooks via ${file} interpolation
  • Shell-running MCP servers

High Findings (fix before production)

  • Auto-run instructions in CLAUDE.md (prompt injection vector)
  • Missing deny lists in permissions
  • Agents with unnecessary Bash access

Medium Findings (recommended)

  • Silent error suppression in hooks (2>/dev/null, || true)
  • Missing PreToolUse security hooks
  • npx -y auto-install in MCP server configs

Info Findings (awareness)

  • Missing descriptions on MCP servers
  • Prohibitive instructions correctly flagged as good practice

Links

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Design and audit interfaces for Web, iOS, and Android using WCAG 2.2 accessibility guidance. Check screen-reader labels, keyboard navigation, contrast, and control sizes to identify barriers and guide implementation for people using assistive technology.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Adding descriptive labels to icon-only buttons
  • Reviewing keyboard navigation and modal focus
  • Checking contrast and control sizes
affaan-m/ECC28.3만2026년 10월 16일 업데이트

Investigate unreliable AI agents across 12 layers, including instructions, memory, tool execution, and display. Use code and logs to trace failures, rank findings by severity, and produce an ordered repair plan that prioritizes code changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Investigating failures that appear only inside an agent application
  • Tracing old conversation content leaking into new sessions
  • Checking skipped or falsely claimed tool execution
affaan-m/ECC28.3만2026년 10월 16일 업데이트

Compare coding agents on tasks from your own codebase. Define success checks, run agents in separate Git working directories, and report pass rates, available API costs, completion time, and consistency across repeated trials.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Comparing coding agents on real development tasks
  • Evaluating a new tool or model before adoption
  • Checking performance after agent updates
affaan-m/ECC28.3만2026년 10월 16일 업데이트

Design and refine an AI agent’s available actions, tool inputs, and result formats. Define recovery steps for errors, manage the information kept in context, and evaluate changes through completion rates, retries, and cost per successful task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Define an AI agent’s tool set and input formats
  • Make tool results and next steps easier to interpret
  • Specify safe retries and stopping conditions
affaan-m/ECC28.3만2026년 10월 16일 업데이트

Diagnose failed AI agent runs by capturing errors, checking likely causes, and choosing small, reversible recovery actions. The workflow produces a structured report of the failure, recovery steps, and evidence, helping explain repeated retries or stalled progress.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Diagnosing repeated tool calls with no progress
  • Investigating quality loss as context grows
  • Checking file paths and environment mismatches
affaan-m/ECC28.3만2026년 10월 16일 업데이트

Diagnose AI agent runs that fail repeatedly, loop through tools, or lose track of the task. Capture errors and environment details, test a focused recovery action, and produce a report explaining the evidence and outcome.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Diagnosing repeated failures in an agent run
  • Investigating loops through the same tool calls
  • Reviewing output degradation as context grows
affaan-m/ECC28.3만2026년 10월 5일 업데이트

affaan-m의 스킬 모두 보기

이 스킬의 문제 신고