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AgentGuard by Nano

Agent Identity & Permission Guardian - Trust middleware for credential management, permission scopes, human approval workflows, and audit trails. Use when AI...

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Agent Identity & Permission Guardian - Trust middleware for credential management, permission scopes, human approval workflows, and audit trails. Use when AI...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
CLAWHUB.md, README-GITHUB.md, README.md, SKILL.md, TEST-REPORT.md, docs/1PASSWORD-COMPARISON.md

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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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
0.4.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 12 sections Open source page

Overview

AgentGuard is a trust middleware for Phase 1 hybrid authentication: Credential Vault: Encrypted storage for API keys and OAuth tokens Permission Scopes: Define what operations need human approval Human Gate: Push confirmation requests for high-risk operations Audit Trail: Cryptographically signed operation logs Agent Registry: Track agents with credentials and permissions

Installation

# Install globally npm install -g agentguard # Or use as OpenClaw skill cp -r . ~/.openclaw/skills/agentguard

Quick Start

# Initialize vault agentguard init # Register an agent agentguard register my-agent --owner "user@example.com" # Store a credential agentguard vault store my-agent OPENAI_API_KEY sk-xxx # Define permission scope agentguard scope set my-agent --level read --dangerous require-approval # List agents agentguard list # Audit log agentguard audit my-agent --last 24h

Permission Levels

LevelAuto-approveRequires Humanread✅ Read operations❌write✅ Read/Write❌admin✅ Most operations⚠️ Dangerous onlydangerous❌ All operations✅ Always

Dangerous Operations (Require Human Approval)

Send messages/emails Financial transactions Delete data Modify system config Access sensitive credentials External API calls (configurable)

Human Gate Integration

When an agent attempts a dangerous operation: AgentGuard blocks the operation Pushes notification to owner (Feishu/Telegram/Email) Owner approves/denies with biometric confirmation If approved, operation proceeds with short-lived token All logged with cryptographic signature

Configuration

~/.agentguard/config.json: { "vault": { "encryption": "aes-256-gcm", "keyDerivation": "pbkdf2" }, "humanGate": { "timeout": 300, "channels": ["feishu", "telegram"], "biometric": true }, "audit": { "retention": "30d", "signLogs": true } }

API Usage (for skills)

const agentguard = require('agentguard'); // Check permission const allowed = await agentguard.check('my-agent', 'send_email'); if (!allowed) { // Request human approval const approval = await agentguard.requestApproval({ agent: 'my-agent', action: 'send_email', details: { to: 'user@example.com', subject: 'Test' } }); } // Get credential const apiKey = await agentguard.getCredential('my-agent', 'OPENAI_API_KEY'); // Log action await agentguard.audit('my-agent', 'api_call', { endpoint: '/completions' });

Security Model

Vault Encryption: AES-256-GCM with key derived from master password Credential Isolation: Each agent has separate encrypted container Audit Integrity: SHA-256 hash chain for tamper detection Human Gate: Out-of-band confirmation via trusted channel Token Expiry: Short-lived tokens (default 5 min)

Files

~/.agentguard/ - Data directory ~/.agentguard/vault/ - Encrypted credentials ~/.agentguard/registry.json - Agent registry ~/.agentguard/audit/ - Audit logs ~/.agentguard/config.json - Configuration

OpenClaw Integration

AgentGuard integrates with OpenClaw as a skill: Add to ~/.openclaw/skills/agentguard/ Configure in workspace AGENTS.md: ## AgentGuard All external API calls require AgentGuard permission check. Dangerous operations require human approval. Use in other skills: const guard = require('agentguard'); await guard.checkOrApprove(agentId, operation, details);

Roadmap

Phase 1: CLI + Vault + Permission Scopes Phase 2: Human Gate (Feishu/Telegram integration) Phase 3: Audit Trail + Export Phase 4: OAuth2 Token Auto-refresh Phase 5: Multi-tenant Support Phase 6: DID Preparation (future Phase 2) Building trust infrastructure for the Agentic Era.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
6 Docs
  • SKILL.md Primary doc
  • CLAWHUB.md Docs
  • docs/1PASSWORD-COMPARISON.md Docs
  • README-GITHUB.md Docs
  • README.md Docs
  • TEST-REPORT.md Docs