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Install
Works with Claude Code. Read the repository before you give any tool access to your data.
npx agentmarket install skill/craftos-dev-shannon
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: security
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Shell scripts
Network hosts it talks to 3
codeload.github.com· found in install commanddocker.com· found in codegithub.com· found in code
Files it touches
~/.claude/skills/shannon
Tools it pre-approves 5
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Bash,Read,Write,AskUserQuestion,WebSearch
What's inside
- Skill name
shannon- Description
- Autonomous AI pentester for web apps and APIs. Run white-box security assessments with Shannon — analyzes source code, identifies attack vectors, and executes real exploits to prove vulnerabilities. Triggered by 'shannon', 'pentest', 'security audit', 'vuln scan'.
- License
- AGPL-3.0
- Allowed tools
- Bash,, Read,, Write,, AskUserQuestion,, WebSearch
- Instructions
- 416 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Pre-approves some shell commands
Files (5)
- CRAFTBOT.md
- README.md
- SKILL.md
- setup-shannon.sh · scripts/
- sync.sh · scripts/
SKILL.md (first lines)
# 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: ~$50 (Claude Sonnet)
```
---
## Step 0: Ensure Shannon is Installed
Check if Shannon is cloned locally:
```bash
SHANNON_HOME="${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:
```bash
# 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:
```bash
cd "$SHANNON_HOME/repos"
git clone "$GITHUB_URL" "$REPO_NAME"
```
---
## Step 2: Configure Authentication (if needed)From CraftOS-dev/CraftBot, AGPL-3.0.
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Signals
- Stars
- 400
- Forks
- 49
- Open issues
- 12
- Last commit (this folder)
- May 28, 2026 (5 months ago)
- Last release
- Oct 23, 2026 (8 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- AGPL-3.0
- Repository
- github.com/CraftOS-dev/CraftBot
- Website
- craftbot.live/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
shannon skill. Agent Mart. https://agentmart.dev/skills/craftos-dev-shannon (last updated 2026-10-24)