本文へ移動
cccskills
無料GitHub で公開

agent-permissions

Comprehensive guide for the agent permissions and approval system. Use when an agent needs to request user approval for sensitive operations, when implementing new approval policies, when integrating platform-specific approval UIs (Slack buttons, WhatsApp replies, Dashboard modals), or when troubleshooting approval flows. Covers policy definition, platform adapters, and the complete approval lifecycle.

インストール方法を見る

含まれるファイル(2)

  • SKILL.md9.8 KB
  • metadata.json1.7 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Agent Permissions System

This skill covers the approval/permissions framework that enables agents to request user consent for sensitive operations across all platforms.

Quick Start: Requesting User Approval

When an agent needs approval for a sensitive action, the system automatically:

  1. Evaluates the tool call against defined policies
  2. If policy requires approval (action: 'ask'), sends a prompt via the appropriate platform adapter
  3. Waits for user response (button click, reply, reaction, or dashboard action)
  4. Returns approval decision to continue or deny execution

Platform-Specific Approval UX

PlatformApproval MethodResponse Format
SlackInteractive buttons in message"Approve" / "Deny" button clicks
WhatsAppReply to message or emoji reactionReply "YES"/"NO" or 👍/👎 reaction
DashboardModal with approve/deny buttonsButton click in UI

Core Architecture

packages/agents/src/permissions/
├── types.ts              # Core interfaces (PermissionPolicy, ApprovalRequest, etc.)
├── policyEngine.ts       # Policy evaluation and approval coordination
├── approvalStore.ts      # In-memory approval store interface
├── drizzlePermissionStore.ts  # Database-backed store (persistent)
├── defaultPolicies.ts    # Built-in policy definitions
└── adapters/
    ├── base.ts           # PlatformApprovalAdapter interface
    ├── registry.ts       # Adapter registration
    ├── dashboard.ts      # Dashboard approval adapter
    ├── slack.ts          # Slack Block Kit buttons
    └── whatsapp.ts       # WhatsApp reply/reaction handling

Policy Definition

Policies control which tools require approval:

interface PermissionPolicy {
  id: string; // Unique identifier
  name: string; // Human-readable name
  toolPatterns: string[]; // Glob patterns: 'file_write', 'bash_*', etc.
  action: 'allow' | 'deny' | 'ask'; // What to do when matched
  granularity: 'per_call' | 'per_session' | 'per_category';
  riskLevel: 'low' | 'medium' | 'high' | 'critical';
  promptTemplate?: string; // Custom approval message
  agentIds?: string[]; // Limit to specific agents
  platforms?: Platform[]; // Limit to platforms
  priority?: number; // Higher = evaluated first
  timeout?: number; // Auto-expire after ms
}

Default Policies

Located in packages/agents/src/permissions/defaultPolicies.ts:

export const DEFAULT_POLICIES: PermissionPolicy[] = [
  {
    id: 'file-write',
    toolPatterns: ['file_write', 'file_delete', 'file_move', 'file_edit'],
    action: 'ask',
    granularity: 'per_call',
    riskLevel: 'medium',
  },
  {
    id: 'shell-execution',
    toolPatterns: ['bash', 'shell', 'exec', 'run_command'],
    action: 'ask',
    granularity: 'per_call',
    riskLevel: 'high',
  },
  {
    id: 'external-api',
    toolPatterns: ['http_*', 'api_*', 'webhook_*'],
    action: 'ask',
    granularity: 'per_session', // Once per session
    riskLevel: 'medium',
  },
  {
    id: 'sensitive-data',
    toolPatterns: ['secret_*', 'credential_*', 'token_*'],
    action: 'ask',
    granularity: 'per_call',
    riskLevel: 'critical',
  },
];

Integration with Tool Execution

The toolCallingService.ts integrates with the PolicyEngine:

// Simplified flow in executeToolLoop:
for (const toolUse of toolUseBlocks) {
  const decision = await policyEngine.evaluateToolCall(toolUse, context, agentId);

  if (decision.action === 'deny') {
    return toolDeniedResult(toolUse, decision.reason);
  }

  if (decision.action === 'ask') {
    // This triggers the platform-specific approval UI
    const approval = await policyEngine.requestApproval({
      tool: toolUse,
      policy: decision.policy,
      context,
      agentId,
    });

    if (approval.status !== 'approved') {
      return toolDeniedResult(toolUse, 'User denied approval');
    }
  }

  // Execute the tool
  const result = await executor(toolUse.name, toolUse.input, context);
}

Platform Adapters

Implementing a New Adapter

Each adapter implements PlatformApprovalAdapter:

interface PlatformApprovalAdapter {
  platform: Platform;
  supportsNativeApproval: boolean;
  supportedInteractionTypes: readonly InteractionType[];

  // Send approval prompt to user
  requestApproval(
    request: ApprovalRequest,
    context: PlatformContext
  ): Promise<ApprovalPromptResult>;

  // Parse user's response (button click, reply, etc.)
  handleApprovalResponse(response: unknown): Promise<ApprovalResult | null>;

  // Cancel pending request
  cancelRequest(requestId: string): Promise<void>;

  // Format messages for display
  formatApprovalPrompt(request: ApprovalRequest): unknown;
  formatApprovalResult(result: ApprovalResult): unknown;
}

WhatsApp Adapter Example

The WhatsApp adapter sends a message and listens for replies:

formatApprovalPrompt(request: ApprovalRequest): string {
  return [
    `Approval required`,
    `Agent "${request.agentId}" wants to run "${request.tool.name}".`,
    `Reply with YES/NO or APPROVE/DENY.`,
    `Request ID: ${request.id}`,
    `You can also approve in the dashboard: ${dashboardUrl}/approvals/${request.id}`,
  ].join('\n');
}

handleApprovalResponse(response: WhatsAppMessage): ApprovalResult | null {
  const text = response.body?.trim().toLowerCase();
  if (text === 'approve' || text === 'yes') {
    return { requestId: extractRequestId(text), status: 'approved' };
  }
  if (text === 'deny' || text === 'no') {
    return { requestId: extractRequestId(text), status: 'denied' };
  }
  // Also handle emoji reactions 👍 👎
  return null;
}

Slack Adapter

Uses Block Kit interactive buttons:

formatApprovalPrompt(request: ApprovalRequest) {
  return {
    blocks: [
      { type: 'section', text: { type: 'mrkdwn', text: `*Approval Required*` } },
      { type: 'section', text: { type: 'mrkdwn', text: `Tool: \`${request.tool.name}\`` } },
      {
        type: 'actions',
        elements: [
          { type: 'button', text: { type: 'plain_text', text: 'Approve' }, action_id: 'approve', value: request.id },
          { type: 'button', text: { type: 'plain_text', text: 'Deny' }, action_id: 'deny', value: request.id },
        ],
      },
    ],
  };
}

Database Schema

Tables in packages/database/src/schema/index.ts:

// Custom policies (override code defaults)
export const permissionPolicies = pgTable('permission_policies', {
  id: text('id').primaryKey(),
  name: text('name').notNull(),
  toolPatterns: text('tool_patterns').notNull(),  // JSON array
  action: text('action').notNull(),
  granularity: text('granularity').notNull(),
  riskLevel: text('risk_level').notNull(),
  priority: integer('priority').default(0),
  enabled: boolean('enabled').default(true),
  ...
});

// Pending/resolved approval queue
export const approvalRequests = pgTable('approval_requests', {
  id: text('id').primaryKey(),
  sessionId: text('session_id').notNull(),
  platform: text('platform').notNull(),
  userId: text('user_id').notNull(),
  agentId: text('agent_id').notNull(),
  toolName: text('tool_name').notNull(),
  toolInput: text('tool_input').notNull(),  // JSON
  status: text('status').notNull(),  // pending, approved, denied, expired
  ...
});

// Session-level approval grants (avoid repeated prompts)
export const approvalGrants = pgTable('approval_grants', {
  id: serial('id').primaryKey(),
  sessionId: text('session_id').notNull(),
  userId: text('user_id').notNull(),
  grantType: text('grant_type').notNull(),  // 'tool' | 'category' | 'policy'
  grantValue: text('grant_value').notNull(),
  expiresAt: timestamp('expires_at'),
  ...
});

Adding a New Platform

To add a new platform (e.g., Telegram):

  1. Create adapter: packages/agents/src/permissions/adapters/telegram.ts
  2. Implement PlatformApprovalAdapter with platform-specific UX
  3. Register in startup:
import { TelegramApprovalAdapter } from './adapters/telegram.js';

// In your platform initialization:
adapterRegistry.register(new TelegramApprovalAdapter(telegramClient));
  1. Handle responses - Wire up message/callback handlers to call:
policyEngine.handlePlatformResponse('telegram', telegramResponse);

Approval Granularity

  • per_call: Prompt every time the tool is invoked
  • per_session: Prompt once per session, then remember grant
  • per_category: Prompt once per tool category, remember for session

When per_session or per_category is used, grants are stored in approval_grants table.

Testing

# Run permissions tests
pnpm --filter @orientbot/agents test permissions

# Test specific adapter
pnpm --filter @orientbot/agents test adapters

Troubleshooting

Approvals not working

  1. Check if policy matches tool pattern (glob patterns)
  2. Verify adapter is registered for the platform
  3. Check approval request is created in DB
  4. Verify platform message/button handler is wired up

Policy not applying

  1. Higher priority policies take precedence
  2. enabled: false policies are skipped
  3. Check platforms and agentIds filters

Approval expires immediately

  1. Check timeout setting on policy
  2. Verify defaultTimeoutMs in PolicyEngine config

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

[00] TnR ABSOLUTE RIGOR — Systemic Verification Doctrine. Forced cognitive exertion for high-stakes investigations. Mandates absolute deconstruction, mathematical proof chains, and ≥95% derived certainty. Zero-tolerance for heuristics or sentiment-based reasoning. Shortcuts are defined as intentional hallucinations.

日本語の概要は準備中です。原文の説明を表示しています。

diegosouzapw/awesome-omni-skill622026年3月2日 更新

2agent

無料日本語概要

Configures 2-Agent workflow between PM and implementation roles. Use when user mentions 2-Agent, 2エージェント, PM連携設定, Cursor設定, Cursor連携, 2-agent運用. Do NOT load for: 単独運用, ワークフロー実行, ハンドオフ処理.

diegosouzapw/awesome-omni-skill622026年3月2日 更新

Appends relevant hashtags to journal entries based on content analysis. Intended for LLM execution.

日本語の概要は準備中です。原文の説明を表示しています。

diegosouzapw/awesome-omni-skill622026年3月2日 更新

add-agent

無料

Add a new AI coding agent to Agent Sandbox. Creates all required files (Dockerfile, templates, CI, docs) and wires the agent into the CLI, proxy, and build system.

日本語の概要は準備中です。原文の説明を表示しています。

diegosouzapw/awesome-omni-skill622026年3月2日 更新

Add a new property to the AI agents database. Use when the user wants to add, create, or introduce a new column, property, field, or feature to track across all agents in the comparison matrix. Handles all four required steps - database updates, groups.json, table display, and GitHub issue templates.

日本語の概要は準備中です。原文の説明を表示しています。

diegosouzapw/awesome-omni-skill622026年3月2日 更新

Add new Agent templates to the meta-agent-skills framework.

日本語の概要は準備中です。原文の説明を表示しています。

diegosouzapw/awesome-omni-skill622026年3月2日 更新

diegosouzapw のスキルをすべて見る

このスキルの問題を報告する