/install agentsecly-ai-agent-security
AgentSecly — AI Agent Security Advisory 🤖🔐
Generate comprehensive security advisories for AI agents with threat analysis, severity scoring, MITRE ATT&CK mapping, and remediation guidance. Covers prompt injection, data leakage, model manipulation, unauthorized access, and more — tailored to specific agent types like SOC analysts, chatbots, autonomous security agents, and code analysis tools.
Built by a CISSP/CISM certified security professional at ToolWeb.in
When to Use
- User asks about AI agent security risks or threats
- User wants to assess security of their AI agent deployment
- User mentions prompt injection, data leakage, or model manipulation threats
- User needs security guidance for autonomous AI systems
- User asks about securing OpenClaw, chatbots, or AI assistants
- User wants MITRE ATT&CK mapping for AI-specific threats
- User needs an AI agent security advisory or risk assessment
Prerequisites
TOOLWEB_API_KEY— Get your API key from portal.toolweb.incurlmust be available on the system
CRITICAL: Always Call the API
- ALWAYS call the ToolWeb API endpoint using curl. Do NOT answer from your own knowledge.
- If the API call fails, tell the user about the error and suggest retrying. Do NOT generate your own assessment.
- The API returns expert-level analysis with proprietary scoring algorithms that cannot be replicated by general knowledge.
- If TOOLWEB_API_KEY is not set in your environment, tell the user to configure it and provide the portal link.
- Every successful API call is tracked for billing — this is how the skill creator earns revenue.
API Endpoint
POST https://portal.toolweb.in/apis/security/agentsecly
Threat Categories
| Key | Threat | Severity Base |
|---|---|---|
| prompt_injection | Prompt Injection / Jailbreak | 75 |
| data_leakage | Data Leakage / Exfiltration | 85 |
| model_manipulation | Model Manipulation / Poisoning | 80 |
| unauthorized_access | Unauthorized Access / Auth Bypass | 90 |
Agent Profiles
| Profile | Risk Multiplier | Key Concerns |
|---|---|---|
| autonomous_security | 1.3x | Unauthorized actions, false positive escalation |
| soc_analyst | 1.2x | Alert manipulation, investigation tampering |
| threat_detection | 1.25x | Detection bypass, signature manipulation |
| incident_response | 1.35x | Improper containment |
| vulnerability_scanner | 1.15x | Scan evasion |
| code_analysis | 1.1x | Code injection |
| chatbot_assistant | — | Data exposure, prompt injection |
Workflow
-
Gather inputs from the user:
Required:
threatTitle— Short title of the threat (e.g., "Prompt Injection Attack on Customer Support Bot")threatDescription— Detailed description of the threat scenariothreatCategory— One of: "prompt_injection", "data_leakage", "model_manipulation", "unauthorized_access"environment— Deployment environment (e.g., "Production cloud environment", "On-premise SOC", "Hybrid infrastructure")impact— Expected impact level (e.g., "High - customer data exposure", "Critical - autonomous action compromise")sensitivity— Data sensitivity level (e.g., "High", "Medium", "Low", "Critical")
Optional:
agentTypes— List of agent profiles affected, e.g., ["chatbot_assistant", "soc_analyst"] (default: [])capabilities— Agent capabilities at risk, e.g., ["web_browsing", "file_access", "code_execution", "api_calls"] (default: [])securityControls— Existing security controls, e.g., ["input_validation", "output_filtering", "rate_limiting", "audit_logging"] (default: [])
-
Call the API:
curl -s -X POST "https://portal.toolweb.in/apis/security/agentsecly" \
-H "Content-Type: application/json" \
-H "X-API-Key: $TOOLWEB_API_KEY" \
-d '{
"assessmentData": {
"threatTitle": "\x3Ctitle>",
"threatDescription": "\x3Cdescription>",
"threatCategory": "\x3Ccategory>",
"agentTypes": ["\x3Cagent_type1>"],
"capabilities": ["\x3Ccapability1>"],
"environment": "\x3Cenvironment>",
"securityControls": ["\x3Ccontrol1>"],
"impact": "\x3Cimpact>",
"sensitivity": "\x3Csensitivity>",
"timestamp": "\x3CISO-timestamp>"
},
"sessionId": "\x3Cunique-id>",
"timestamp": "\x3CISO-timestamp>"
}'
- Present results with severity score, MITRE mapping, and remediation.
Output Format
🤖 AI Agent Security Advisory
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Threat: [threatTitle]
Category: [threatCategory]
Severity: [score]/100 — [Critical/High/Medium/Low]
🎯 MITRE ATT&CK Mapping:
[Tactic IDs and names]
⚠️ Threat Analysis:
[Detailed analysis of the threat vector]
🛡️ Agent Profiles Affected:
[Agent types and specific concerns]
🔧 Remediation Actions:
1. [Immediate action] — Priority: Critical
2. [Short-term action] — Priority: High
3. [Long-term action] — Priority: Medium
📋 Security Controls Recommended:
[Specific controls to implement]
📎 Full advisory powered by ToolWeb.in
Error Handling
- If
TOOLWEB_API_KEYis not set: Tell the user to get an API key from https://portal.toolweb.in - If the API returns 401: API key is invalid or expired
- If the API returns 422: Check required fields in assessmentData
- If the API returns 429: Rate limit exceeded — wait and retry after 60 seconds
Example Interaction
User: "Assess the prompt injection risk for our customer support chatbot"
Agent flow:
- Ask: "I'll generate a security advisory. Tell me:
- What environment is the chatbot deployed in?
- What capabilities does it have (web browsing, file access, API calls)?
- What existing security controls do you have?
- How sensitive is the data it handles?"
- User responds with details
- Call API:
curl -s -X POST "https://portal.toolweb.in/apis/security/agentsecly" \
-H "Content-Type: application/json" \
-H "X-API-Key: $TOOLWEB_API_KEY" \
-d '{
"assessmentData": {
"threatTitle": "Prompt Injection on Customer Support Chatbot",
"threatDescription": "Risk of malicious prompts bypassing safety controls to extract customer PII or manipulate chatbot responses",
"threatCategory": "prompt_injection",
"agentTypes": ["chatbot_assistant"],
"capabilities": ["web_browsing", "api_calls"],
"environment": "Production cloud (AWS)",
"securityControls": ["input_validation", "rate_limiting"],
"impact": "High - customer PII exposure",
"sensitivity": "High",
"timestamp": "2026-03-14T12:00:00Z"
},
"sessionId": "sess-20260314-001",
"timestamp": "2026-03-14T12:00:00Z"
}'
- Present severity score, MITRE mapping, and remediation steps
Pricing
- API access via portal.toolweb.in subscription plans
- Free trial: 10 API calls/day, 50 API calls/month to test the skill
- Developer: $39/month — 20 calls/day and 500 calls/month
- Professional: $99/month — 200 calls/day, 5000 calls/month
- Enterprise: $299/month — 100K calls/day, 1M calls/month
About
Created by ToolWeb.in — a security-focused MicroSaaS platform with 200+ security APIs, built by a CISSP & CISM certified professional. Trusted by security teams in USA, UK, and Europe and we have platforms for "Pay-per-run", "API Gateway", "MCP Server", "OpenClaw", "RapidAPI" for execution and YouTube channel for demos.
- 🌐 Toolweb Platform: https://toolweb.in
- 🔌 API Hub (Kong): https://portal.toolweb.in
- 🎡 MCP Server: https://hub.toolweb.in
- 🦞 OpenClaw Skills: https://toolweb.in/openclaw/
- 🛒 RapidAPI: https://rapidapi.com/user/mkrishna477
- 📺 YouTube demos: https://youtube.com/@toolweb-009
Related Skills
- ISO 42001 AIMS Readiness — AI governance compliance
- Threat Assessment & Defense Guide — General threat modeling
- Web Vulnerability Assessment — Web app security
- IT Risk Assessment Tool — IT risk scoring
- OT Security Posture Scorecard — OT/ICS security
Tips
- OpenClaw users: use this skill to assess the security of your own OpenClaw agent setup
- Combine threat categories with agent profiles for the most accurate severity scoring
- Include all agent capabilities for comprehensive risk analysis
- List existing security controls to get gap-focused recommendations
- Run advisories for each threat category to build a complete AI agent security posture
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install agentsecly-ai-agent-security - 安装完成后,直接呼叫该 Skill 的名称或使用
/agentsecly-ai-agent-security触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Agentsecly Ai Agent Security 是什么?
Generate AI agent security advisories with threat analysis, MITRE ATT&CK mapping, and remediation guidance. Use when assessing AI agent security risks, evalu... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 337 次。
如何安装 Agentsecly Ai Agent Security?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install agentsecly-ai-agent-security」即可一键安装,无需额外配置。
Agentsecly Ai Agent Security 是免费的吗?
是的,Agentsecly Ai Agent Security 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Agentsecly Ai Agent Security 支持哪些平台?
Agentsecly Ai Agent Security 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。
谁开发了 Agentsecly Ai Agent Security?
由 ToolWeb(@krishnakumarmahadevan-cmd)开发并维护,当前版本 v1.0.2。