agent discovery
2
总安装量
0
周安装量
#68526
全站排名
安装命令
npx skills add https://github.com/cleanexpo/g-suite --skill 'Agent Discovery'
Skill 文档
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) â 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) â 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
âââ agent_discovery (primary)
âââ check_compatibility
âââ web_intel
âââ structured_scraper
âââ 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 |