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shannonshannon 测试

Agent Skill

shannon 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

41,616

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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:shannon(shannon 测试)
来源仓库:https://github.com/unicodeveloper/shannon
仓库路径:skills/shannon
安装命令:
npx skills add https://github.com/unicodeveloper/shannon --skill shannon
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/unicodeveloper/shannon --skill shannon

简介

自主人工智能渗透测试仪可分析源代码、识别漏洞并执行真实的漏洞利用以证明安全缺陷。

  • 涵盖 OWASP Top 10 类别:注入、XSS、SSRF、破坏身份验证和破坏授权,在安全基准测试中利用成功率为 96.15%
  • 测试前需要明确的书面授权;包括强制性安全检查,以防止生产系统意外成为目标
  • 在带有集成安全工具(Nmap、Subfinder、WhatWeb、Schemathesis、headless Chromium)的 Docker 中运行,并支持通过 YAML 进行登录流程的身份验证配置
  • 为每个发现生成包含可重复的概念验证漏洞的详细报告;每个报告的漏洞都包含一个有效的 PoC

SKILL.md

Shannon: Autonomous AI Pentester for Web Apps & APIs

Permissions overview: This skill orchestrates Shannon, a Docker-based pentesting tool that actively executes attacks against a target application. It clones/updates the Shannon repo locally, runs Docker containers, and reads pentest reports. Shannon performs real exploits — only run against apps you own or have explicit written authorization to test. Never run against production systems.

Shannon analyzes your source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production. 96.15% exploit success rate on the XBOW security benchmark. Covers OWASP Top 10: Injection, XSS, SSRF, Broken Auth, Broken AuthZ, and more.


CRITICAL: Safety Checks (ALWAYS run first)

Before doing ANYTHING, you MUST confirm:

  1. Authorization: Ask the user — "Do you have explicit authorization to pentest this target?" If they say no or are unsure, STOP and explain they need written permission from the system owner.
  2. Environment: Confirm the target is a local, staging, or sandboxed environment — NEVER production.
  3. Scope: Clarify what they want tested (full pentest vs specific category).
⚠️  Shannon executes REAL ATTACKS with mutative effects.
├─ Only run on systems you OWN or have WRITTEN AUTHORIZATION to test
├─ Never target production environments
├─ Results require human review — LLM output may contain hallucinations
└─ You are responsible for complying with all applicable laws

Display this warning BEFORE every pentest run. If the user has already confirmed authorization in this session, a brief reminder suffices.


Parse User Intent

Extract from the user's input:

  1. TARGET_URL: The URL to pentest (e.g., http://localhost:3000, http://staging.example.com)
  2. REPO_NAME: The source code folder name (placed in ./repos/ inside Shannon)
  3. SCOPE: Full pentest (default) or specific categories (injection, xss, ssrf, auth, authz)
  4. WORKSPACE: Named workspace for resume capability (optional)
  5. CONFIG: Custom YAML config path (optional, for auth flows, focus/avoid rules)

Common invocation patterns:

  • /shannon http://localhost:3000 myapp → Full pentest of local app
  • /shannon --workspace=audit1 http://staging.example.com backend-api → Named workspace for resuming
  • /shannon --scope=xss,injection http://localhost:8080 frontend → Targeted categories
  • /shannon status → Check running pentests
  • /shannon results → Show latest report
  • /shannon stop → Stop running pentest

Display parsed intent:

🔐 Shannon Pentest
├─ Target: {TARGET_URL}
├─ Source: repos/{REPO_NAME}
├─ Scope: {SCOPE or "Full (all 5 OWASP categories)"}
├─ Workspace: {WORKSPACE or "auto-generated"}
└─ Config: {CONFIG or "default"}

Estimated runtime: 1–1.5 hours │ Estimated cost: ~$50 (Claude Sonnet)

Step 0: Ensure Shannon is Installed

Check if Shannon is cloned locally:

SHANNON_HOME="${SHANNON_HOME:-$HOME/shannon}"

if [ -d "$SHANNON_HOME" ] && [ -f "$SHANNON_HOME/shannon" ]; then
  echo "Shannon found at $SHANNON_HOME"
  cd "$SHANNON_HOME" && git pull --ff-only 2>/dev/null || true
else
  echo "Shannon not found. Cloning..."
  git clone https://github.com/KeygraphHQ/shannon.git "$SHANNON_HOME"
fi

# Verify Docker is available
if command -v docker &>/dev/null; then
  echo "Docker: $(docker --version)"
else
  echo "ERROR: Docker is required. Install Docker Desktop: https://docker.com/products/docker-desktop"
  exit 1
fi

If Shannon is not installed, clone it and inform the user. If Docker is missing, stop and tell them to install it.

SHANNON_HOME defaults to ~/shannon. Users can override with SHANNON_HOME env var.


Step 1: Prepare Source Code

Shannon needs the target's source code in $SHANNON_HOME/repos/{REPO_NAME}/.

Ask the user where their source code is:

# If user provides a local path
REPO_PATH="/path/to/their/source"
REPO_NAME="myapp"

# Create symlink or copy into Shannon's repos directory
mkdir -p "$SHANNON_HOME/repos"
if [ ! -d "$SHANNON_HOME/repos/$REPO_NAME" ]; then
  ln -s "$(realpath "$REPO_PATH")" "$SHANNON_HOME/repos/$REPO_NAME"
  echo "Linked $REPO_PATH → repos/$REPO_NAME"
fi

If the user provides a GitHub URL instead:

cd "$SHANNON_HOME/repos"
git clone "$GITHUB_URL" "$REPO_NAME"

Step 2: Configure Authentication (if needed)

If the target requires login, help the user create a YAML config:

# $SHANNON_HOME/configs/target-config.yaml
authentication:
  type: form            # "form" or "sso"
  login_url: "http://localhost:3000/login"
  credentials:
    username: "admin"
    password: "password123"
  flow: "Navigate to login page, enter username and password, click Sign In"
  success_condition:
    url_contains: "/dashboard"

rules:
  avoid:
    - "/logout"
    - "/admin/delete"
  focus:
    - "/api/"
    - "/auth/"

pipeline:
  max_concurrent_pipelines: 5  # 1-5, default 5

Only create a config if the target requires authentication or has specific scope rules. For open/unauthenticated targets, no config is needed.


Step 3: Verify API Credentials

Check that AI provider credentials are available:

cd "$SHANNON_HOME"

# Check for Anthropic API key (primary)
if [ -n "${ANTHROPIC_API_KEY:-}" ]; then
  echo "✅ ANTHROPIC_API_KEY is set"
elif [ -n "${CLAUDE_CODE_OAUTH_TOKEN:-}" ]; then
  echo "✅ CLAUDE_CODE_OAUTH_TOKEN is set"
elif [ "${CLAUDE_CODE_USE_BEDROCK:-}" = "1" ]; then
  echo "✅ AWS Bedrock mode enabled"
elif [ "${CLAUDE_CODE_USE_VERTEX:-}" = "1" ]; then
  echo "✅ Google Vertex AI mode enabled"
else
  echo "❌ No AI credentials found."
  echo "Set one of: ANTHROPIC_API_KEY, CLAUDE_CODE_OAUTH_TOKEN, or enable Bedrock/Vertex"
  exit 1
fi

If no credentials are found, explain the options:

  • Direct API (recommended): export ANTHROPIC_API_KEY=sk-ant-...
  • OAuth: export CLAUDE_CODE_OAUTH_TOKEN=...
  • AWS Bedrock: export CLAUDE_CODE_USE_BEDROCK=1 + AWS credentials
  • Google Vertex: export CLAUDE_CODE_USE_VERTEX=1 + service account in ./credentials/

Also recommend: export CLAUDE_CODE_MAX_OUTPUT_TOKENS=64000


Step 4: Launch the Pentest

CRITICAL: Confirm with the user before launching. Display the full command and wait for approval.

cd "$SHANNON_HOME"

# Build the command
CMD="./shannon start URL={TARGET_URL} REPO={REPO_NAME}"

# Add optional flags
# CONFIG=configs/target-config.yaml  (if auth config exists)
# WORKSPACE={WORKSPACE}              (if user specified)
# OUTPUT=./audit-logs/               (default)

echo "Ready to launch:"
echo "  $CMD"
echo ""
echo "This will start Docker containers and begin the pentest."
echo "Runtime: ~1-1.5 hours │ Cost: ~\$50 (Claude Sonnet)"

After user confirms, run in background:

cd "$SHANNON_HOME" && ./shannon start URL={TARGET_URL} REPO={REPO_NAME} {EXTRA_FLAGS}

Use run_in_background: true with a timeout of 600000ms (10 minutes for initial setup). The pentest itself runs in Docker and will continue independently.


Step 5: Monitor Progress

While the pentest runs, the user can check status:

cd "$SHANNON_HOME"

# List active workspaces
./shannon workspaces

# View logs for a specific workflow
./shannon logs ID={workflow-id}

Explain the 5-phase pipeline:

Shannon Pipeline (5 phases, parallel where possible):
├─ Phase 1: Pre-Recon — Source code analysis + external scans (Nmap, Subfinder, WhatWeb)
├─ Phase 2: Recon — Live attack surface mapping via browser automation
├─ Phase 3: Vulnerability Analysis — 5 parallel agents (Injection, XSS, SSRF, Auth, AuthZ)
├─ Phase 4: Exploitation — Dedicated agents execute real attacks to validate findings
└─ Phase 5: Reporting — Executive summary with reproducible PoCs

Step 6: Read and Interpret Results

Reports are saved to $SHANNON_HOME/audit-logs/{hostname}_{sessionId}/.

cd "$SHANNON_HOME"

# Find the latest report
LATEST=$(ls -td audit-logs/*/ 2>/dev/null | head -1)
if [ -n "$LATEST" ]; then
  echo "Latest report: $LATEST"
  # Find the main report file
  find "$LATEST" -name "*.md" -type f | head -5
fi

Read the report and present a summary:

🔐 Shannon Pentest Report: {TARGET}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🔴 Critical: {N} vulnerabilities
🟠 High:     {N} vulnerabilities
🟡 Medium:   {N} vulnerabilities
🔵 Low:      {N} vulnerabilities

Top Findings:
1. [CRITICAL] {Vuln type} — {location} — PoC: {brief description}
2. [HIGH] {Vuln type} — {location} — PoC: {brief description}
3. ...

Each finding includes a reproducible proof-of-concept exploit.

IMPORTANT: Shannon's "no exploit, no report" policy means every finding has a working PoC. But remind the user that LLM-generated content requires human review.


Utility Commands

Check status

cd "$SHANNON_HOME" && ./shannon workspaces

View logs

cd "$SHANNON_HOME" && ./shannon logs ID={workflow-id}

Stop pentest

cd "$SHANNON_HOME" && ./shannon stop

Stop and clean up all data

# DESTRUCTIVE — confirm with user first
cd "$SHANNON_HOME" && ./shannon stop CLEAN=true

Resume a previous workspace

cd "$SHANNON_HOME" && ./shannon start URL={URL} REPO={REPO} WORKSPACE={name}

Targeting Local Apps

If the user's app runs on localhost, explain:

Shannon runs inside Docker. To reach your local app:
├─ Use http://host.docker.internal:{PORT} instead of http://localhost:{PORT}
├─ macOS/Windows: works automatically with Docker Desktop
└─ Linux: add --add-host=host.docker.internal:host-gateway to docker run

Automatically translate localhost URLs to host.docker.internal in the command.


Configuration Reference

Environment Variables

VariableRequiredDescription
ANTHROPIC_API_KEYOne of theseDirect Anthropic API key
CLAUDE_CODE_OAUTH_TOKENrequiredAnthropic OAuth token
CLAUDE_CODE_USE_BEDROCKSet to 1 for AWS Bedrock
CLAUDE_CODE_USE_VERTEXSet to 1 for Google Vertex AI
CLAUDE_CODE_MAX_OUTPUT_TOKENSRecommendedSet to 64000
SHANNON_HOMEOptionalShannon install dir (default: ~/shannon)

YAML Config Options

SectionFieldDescription
authentication.typeform / ssoLogin method
authentication.login_urlURLLogin page
authentication.credentialsobjectusername, password, totp_secret
authentication.flowstringNatural language login instructions
authentication.success_conditionobjecturl_contains or element_present
rules.avoidlistPaths/subdomains to skip
rules.focuslistPaths/subdomains to prioritize
pipeline.retry_presetsubscriptionExtended backoff for rate-limited plans
pipeline.max_concurrent_pipelines1-5Parallel agent count (default: 5)

Vulnerability Coverage

Shannon tests 50+ specific cases across 5 OWASP categories:

CategoryExamples
InjectionSQL injection, command injection, SSTI, NoSQL injection
XSSReflected, stored, DOM-based, via file upload
SSRFInternal service access, cloud metadata, protocol smuggling
Broken AuthDefault creds, JWT flaws, session fixation, MFA bypass, CSRF
Broken AuthZIDOR, privilege escalation, path traversal, forced browsing

Integrated Security Tools (bundled in Docker)

  • Nmap — port scanning and service detection
  • Subfinder — subdomain enumeration
  • WhatWeb — web technology fingerprinting
  • Schemathesis — API schema-based fuzzing
  • Chromium — headless browser for automated exploitation (Playwright)

Context Memory

For the rest of this conversation, remember:

  • SHANNON_HOME: Path to Shannon installation
  • TARGET_URL: The URL being tested
  • REPO_NAME: Source code folder name
  • WORKSPACE: Workspace name (if any)
  • PENTEST_STATUS: running / completed / stopped

When the user asks follow-up questions:

  • Check pentest status and report on progress
  • Read and interpret new findings from audit-logs
  • Help remediate discovered vulnerabilities with code fixes
  • Explain PoC exploits and their impact

Security & Permissions

What this skill does:

  • Clones/updates the Shannon repo from GitHub to ~/shannon (or $SHANNON_HOME)
  • Creates symlinks from user's source code into ~/shannon/repos/
  • Starts Docker containers (Temporal server, worker, optional router) via ./shannon CLI
  • Reads pentest reports from ~/shannon/audit-logs/
  • Optionally creates YAML config files in ~/shannon/configs/

What Shannon does (inside Docker):

  • Executes real exploits against the target URL (SQL injection, XSS, SSRF, etc.)
  • Scans with Nmap, Subfinder, WhatWeb, Schemathesis
  • Automates browser interactions via headless Chromium
  • Sends prompts to Anthropic API (or Bedrock/Vertex) for reasoning
  • Writes reports to audit-logs/ directory

What this skill does NOT do:

  • Does not target any system without user confirmation
  • Does not store or transmit API keys beyond the configured provider
  • Does not modify the user's source code
  • Does not access production systems unless explicitly directed (which it warns against)
  • Does not run without Docker — all attack tools are containerized

Review the Shannon source code before first use: https://github.com/KeygraphHQ/shannon

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

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37.19%
按下载量换算4,957

Claude

28.72%
按下载量换算3,828

Cursor

20.14%
按下载量换算2,684

Gemini CLI

9.87%
按下载量换算1,315

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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 warning/failed 结果,不能写成本站确认安全。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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