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agent-discovery
by CleanExpo
⭐ 0🍴 0📅 2026年1月20日
SKILL.md
name: Agent Discovery description: Structured repository scanning and agent evaluation skill for discovering agents from the AI ecosystem
Agent Discovery Skill
The Agent Discovery skill enables structured scanning of agent repositories, marketplaces, and research platforms to discover new AI agents for potential integration into G-Pilot.
Overview
This skill follows the Action-Ledger-Result pattern and integrates with:
- GitHub API (repository scanning)
- HuggingFace API (model discovery)
- AI-powered analysis for other sources (LangChain Hub, CrewAI, etc.)
Bound Functions
agent_discovery
Primary discovery function - Scans multiple intelligence sources for agents.
agent_discovery(userId, query, options) → DiscoveryResult
| Parameter | Type | Description |
|---|---|---|
userId | string | User ID for billing and auditing |
query | string | Search query |
options.sources | string[] | Sources to scan (defaults to top 3) |
options.limit | number | Max results per source |
options.focusAreas | string[] | Capability areas to prioritize |
options.minCompatibility | number | Minimum compatibility score (0-1) |
check_compatibility
Compatibility assessment - Deep analysis of a single agent dossier.
check_compatibility(userId, dossier) → CompatibilityCheckResult
Intelligence Sources
| Source | API Type | Capabilities |
|---|---|---|
github | REST API | Repository metadata, stars, license |
huggingface | REST API | Model info, downloads, pipeline tags |
langchain_hub | AI-scanned | Prompts, chains, agent templates |
crewai_flows | AI-scanned | Multi-agent workflows |
arxiv | AI-scanned | Research papers, techniques |
gpt_store | AI-scanned | Custom GPT agents |
vertex_ai | AI-scanned | Enterprise agent solutions |
aws_bedrock | AI-scanned | Foundation model agents |
azure_ai | AI-scanned | Cognitive service agents |
Output Schemas
AgentDossier
{
"agentName": "example-agent",
"source": "github",
"sourceUrl": "https://github.com/example/agent",
"description": "What this agent does",
"compatibilityScore": 0.85,
"securityRating": "A",
"uniqueCapabilities": ["capability1", "capability2"],
"requiredDependencies": ["node", "typescript"],
"integrationEstimate": "1-2 days",
"fuelCostEstimate": "50-100 PTS",
"lastUpdated": "2026-01-19T00:00:00Z",
"stars": 1234,
"maintainer": "example-org",
"license": "MIT"
}
DiscoveryResult
{
"success": true,
"query": "marketing automation agent",
"sourcesScanned": ["github", "huggingface", "langchain_hub"],
"dossiers": [...],
"duration": 2500
}
CompatibilityCheckResult
{
"success": true,
"agent": "example-agent",
"score": 0.8,
"checks": [
{ "name": "Language Compatibility", "passed": true },
{ "name": "License Check", "passed": true },
{ "name": "Security Rating", "passed": true }
],
"recommendation": "integrate"
}
Usage Example
import { agent_discovery, check_compatibility } from '@/tools/agentDiscoverySkill';
// Discover agents for a specific capability
const result = await agent_discovery(
'user_123',
'multi-agent orchestration',
{
sources: ['github', 'langchain_hub'],
limit: 10,
focusAreas: ['automation', 'workflow'],
minCompatibility: 0.7
}
);
// Deep check a specific candidate
for (const dossier of result.dossiers.slice(0, 3)) {
const check = await check_compatibility('user_123', dossier);
if (check.recommendation === 'integrate') {
console.log(`Recommended: ${dossier.agentName}`);
}
}
Integration with Agent Scout
This skill is the primary tool bound to the Agent Scout agent:
Agent Scout
├── agent_discovery (primary)
├── check_compatibility
├── web_intel
├── structured_scraper
└── deep_lookup
Security Ratings
| Rating | Description | Criteria |
|---|---|---|
| A | Trusted | Popular, well-maintained, permissive license |
| B | Safe | Known maintainer, permissive license |
| C | Review | Limited info, needs manual review |
| D | Caution | Unknown maintainer, restrictive license |
| F | Reject | Security concerns, deprecated |
Billing
| Operation | Fuel Cost |
|---|---|
| Quick Scan (3 sources) | 25 PTS |
| Deep Scan (all sources) | 100 PTS |
| Individual Compatibility Check | 10 PTS |
スコア
総合スコア
40/100
リポジトリの品質指標に基づく評価
✓SKILL.md
SKILL.mdファイルが含まれている
+20
○LICENSE
ライセンスが設定されている
0/10
○説明文
100文字以上の説明がある
0/10
○人気
GitHub Stars 100以上
0/15
○最近の活動
3ヶ月以内に更新がある
0/10
○フォーク
10回以上フォークされている
0/5
✓Issue管理
オープンIssueが50未満
+5
✓言語
プログラミング言語が設定されている
+5
○タグ
1つ以上のタグが設定されている
0/5
レビュー
💬
レビュー機能は近日公開予定です