{"slug":"feiskyer-deep-research","source_name":"feiskyer/deep-research","name":"Feiskyer/Deep Research","description":"Multi-agent research orchestration: split a research goal into parallel sub-goals, run each via headless `claude -p` subprocesses, aggregate results into a polished report file. Use for systematic web/document research, competitive or industry analysis, batch link/dataset processing, and long-form evidence synthesis. Triggers: \"深度调研\", \"deep research\", \"wide research\", \"多 Agent 调研\", \"系统调研\".","version":1,"lift":{"pass_rate_delta_pts":22.73,"pass_rate_pct":77.3,"total_cases":22,"passed_cases":17,"tokens_delta_pct":193.5,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-12T06:50:19.066001+00:00"},"skill_score":0.7727,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":22.73,"with_pass_pct":77.3,"without_pass_pct":54.5,"tokens_delta_pct":193.5,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"mixed","never_hurt":false,"completed_at":"2026-08-12T06:50:19.066001+00:00","run_id":"c1ec0d3d-6e34-4cc1-9431-b823ad3fb40a","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT","install_count":0,"manifest_hash":"2507e3b0f971cbb7e30d06d5f983b9b9076584143e4ceca7c48c4b7ffe8be66a","raw_url":"https://app.decimal.ai/s/feiskyer-deep-research/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/feiskyer-deep-research"}