Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
AgentGuard
Monitors agent file access, API calls, and communications to detect suspicious behavior, log events, and generate actionable security reports.
skill openclawclawhub Free
Monitors agent file access, API calls, and communications to detect suspicious behavior, log events, and generate actionable security reports.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, config/agentguard.yaml, execution/alerter.py, execution/detector.py, execution/logger.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- manas-io-ai
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
AgentGuard - Security Monitoring Skill
Version: 1.0.0 Author: Manas AI Category: Security & Monitoring
Overview
AgentGuard is a comprehensive security monitoring skill that watches over agent operations, detecting suspicious behavior, logging communications, and providing actionable security reports.
1. File Access Monitoring
Track all file read/write operations with pattern analysis. Trigger: Continuous background monitoring Command: agentguard monitor files [--watch-dir <path>] What it detects: Unusual file access patterns (bulk reads, sensitive directories) Access to credential files (.env, .secrets, keys) Unexpected write operations to system directories File exfiltration attempts (large reads followed by network calls)
2. API Call Detection
Monitor outbound API calls for suspicious activity. Command: agentguard monitor api What it detects: Calls to unknown/untrusted endpoints Unusual API call frequency (rate anomalies) Sensitive data in request payloads Authentication token exposure Calls to known malicious domains
3. Communication Logging
Log all external communications for audit trails. Command: agentguard log comms [--output <path>] Logs include: HTTP/HTTPS requests (sanitized) WebSocket connections Email sends Message platform outputs (Telegram, Discord, etc.) Timestamp, destination, payload hash
4. Anomaly Detection
ML-lite pattern analysis for behavioral anomalies. Command: agentguard detect anomalies [--sensitivity <low|medium|high>] Detection methods: Baseline deviation (learns normal patterns) Time-of-day anomalies Sequence analysis (unusual operation chains) Volume spikes New destination detection
5. Security Reports
Generate comprehensive daily security reports. Command: agentguard report [--period <daily|weekly|monthly>] Report includes: Activity summary Alert breakdown by severity Top accessed resources Communication destinations Anomaly timeline Recommendations
Config File: config/agentguard.yaml
monitoring: enabled: true file_watch_dirs: - ~/clawd - ~/.clawdbot exclude_patterns: - "*.log" - "node_modules/**" - ".git/**" alerts: sensitivity: medium # low, medium, high channels: - telegram alert_on: - credential_access - bulk_file_read - unknown_api_endpoint - data_exfiltration cooldown_minutes: 15 api_monitoring: trusted_domains: - api.anthropic.com - api.openai.com - api.telegram.org - api.elevenlabs.io block_on_suspicious: false # true = prevent call, false = alert only logging: retention_days: 30 log_dir: ~/.agentguard/logs hash_sensitive_data: true reporting: auto_daily_report: true report_time: "09:00" report_channel: telegram
Start Full Monitoring
agentguard start Enables all monitoring features with default config.
Check Current Security Status
agentguard status Returns current threat level, active monitors, recent alerts.
Investigate Specific Activity
agentguard investigate --timerange "last 2 hours" --type file_access
Generate Immediate Report
agentguard report --now
Review Alert History
agentguard alerts --last 24h --severity high
Whitelist a Domain
agentguard trust add api.newservice.com --reason "Required for X integration"
Alert Severity Levels
LevelColorMeaningExampleINFO🔵Normal logged activityFile read in workspaceLOW🟢Minor deviationSlightly elevated API callsMEDIUM🟡Notable anomalyAccess to .env fileHIGH🟠Potential threatBulk credential accessCRITICAL🔴Immediate action neededData exfiltration pattern
With Clawdbot
Receives file/API operation hooks Sends alerts via configured channels Integrates with heartbeat for periodic checks
With Other Skills
Shares threat data with other security skills Can block operations (if configured) Provides audit logs for compliance skills
Data Storage
~/.agentguard/ ├── logs/ │ ├── file_access/ │ ├── api_calls/ │ └── communications/ ├── baselines/ │ └── behavior_model.json ├── alerts/ │ └── YYYY-MM-DD.json └── reports/ └── YYYY-MM-DD_report.md
Privacy & Security
No external data transmission - All processing is local Sensitive data hashing - Credentials are never logged in plain text Configurable retention - Auto-delete old logs Encrypted storage - Optional AES encryption for logs
High false positive rate
→ Increase baseline learning period or reduce sensitivity
Missing file events
→ Check file_watch_dirs config covers target directories
Reports not generating
→ Verify report_time format and timezone settings
Execution Scripts
ScriptPurposeexecution/monitor.pyCore monitoring daemonexecution/detector.pyAnomaly detection engineexecution/logger.pyStructured logging handlerexecution/alerter.pyAlert dispatch systemexecution/reporter.pyReport generation
Author Notes
AgentGuard is designed with defense-in-depth principles. It assumes agents can be compromised or manipulated, and provides visibility into their operations. For maximum security, run AgentGuard in a separate process with limited write access to prevent a compromised agent from disabling monitoring.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Scripts2 Docs1 Config
- SKILL.md
- README.md
- execution/alerter.py
- execution/detector.py
- execution/logger.py
- config/agentguard.yaml