{"id":"datawhalechina-hello-claw","name":"hello-claw","homepage":"https://datawhalechina.github.io/hello-claw","repo_url":"https://github.com/datawhalechina/hello-claw","category":"ai-ml","subcategories":[],"tags":["ai","agents","openclaw","tutorial","skills","documentation","developer-guides"],"what_it_does":"hello-claw is a tutorial/documentation repository for learning OpenClaw by “adopting” and building an AI assistant (“Claw”/Skills). It provides an online reading experience and structured chapter guides across usage, scenarios, and development topics.","use_cases":["Learning OpenClaw from zero with step-by-step chapters","Selecting and applying reusable Skills for common workflows","Understanding OpenClaw architecture and building/customizing a Claw","Using the published online docs as a self-guided curriculum"],"not_for":["Direct production integration as a runtime API/service","A standalone SDK for programmatic agent control","Substituting for OpenClaw itself (it appears to be the learning material rather than the agent system)"],"best_when":"You want a structured, online tutorial to learn OpenClaw concepts and implementation patterns.","avoid_when":"You need a documented REST/GraphQL/gRPC/MCP API from this package itself to call programmatically at runtime.","alternatives":["OpenClaw documentation/repo (the underlying system this tutorial is based on)","Other OpenAI-agent frameworks with official SDKs (varies by provider and integration needs)"],"af_score":24.5,"security_score":20.0,"reliability_score":16.2,"package_type":"skill","discovery_source":["openclaw"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T13:23:26.310367+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":false,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"No authentication mechanism is described because the repository functions as documentation/tutorial content rather than an API."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing information is provided in the included content."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":24.5,"security_score":20.0,"reliability_score":16.2,"mcp_server_quality":0.0,"documentation_accuracy":70.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":100.0,"rate_limit_clarity":0.0,"tls_enforcement":0.0,"auth_strength":0.0,"scope_granularity":0.0,"dependency_hygiene":40.0,"secret_handling":70.0,"security_notes":"Included content is educational and does not describe an authenticated service. Dependency info is minimal (manifest lists a VitePress-related plugin only), so dependency risk cannot be fully assessed from the provided data.","uptime_documented":0.0,"version_stability":35.0,"breaking_changes_history":30.0,"error_recovery":0.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["This repo appears to be tutorial content, not an agent runtime; there is no callable programmatic interface exposed here."]}}