القائمة
Daily OrCAID multi-agent delegation — run commit0/self_improve/paperbench tasks, evaluate output, deliver results. Schedule: 09:00 AM.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
arXiv paper discovery — select top 3 significant papers, research via subagents, ingest to wiki, deliver report.
Daily raw file ingestion pipeline — process files from raw/ into structured wiki knowledge, verify frontmatter and links, archive to Clippings/. Schedule: 06:30 AM.
Daily Zettelkasten insight generation — run CLI insight engine, create wiki pages for confidence>=0.7 insights, integrate to wiki. Schedule: 06:00 AM.
Daily global news curator — RSS discovery, significance filtering, clippings archive + synthesis wiki delivery, deliver headlines report. Schedule: 07:30 AM.
Wiki synthesis agent operational sheet — cross-domain bridges, concept advancement, evidence evaluation
Daily wiki quality audit anchored in wiki-indexing-theory.md — HITS authority scoring, GAAC cluster validation, tag taxonomy compliance, reciprocal link enforcement. Schedule: 08:50 AM.
| name | orcaid |
| description | Daily OrCAID multi-agent delegation — run commit0/self_improve/paperbench tasks, evaluate output, deliver results. Schedule: 09:00 AM. |
| tags | ["orcaid","self-improve","commit0","paperbench","paper2code","daily"] |
| triggers | [{"cron":"0 9 * * *"},{"manual":"delegate_task"}] |
| updated | "2026-05-25T00:00:00.000Z" |
| created_by | agent |
Run the OrCAID multi-agent delegation framework. Three task types: commit0 (stub implementation), self_improve (self-refactor), paperbench (paper reproduction). Choose the right mechanism for the job.
references/task-types.md — commit0 / self_improve / paperbench detailsreferences/execution-mechanisms.md — ACTIVE vs PASSIVE mechanismstemplates/run-report.md — run report formatMechanism 1 — ACTIVE: orcaid.cli → produces new outcomes
Mechanism 2 — PASSIVE: run_evolution.py --domain orcaid → computes metrics from memory (no new outcomes)
Mechanism 3 — PASSIVE: run_evolution.py --domain paper2code → evaluates Paper2Code outputs
| Task | Use When | Docker Image |
|---|---|---|
commit0 | Fix missing stubs in repo | wentingzhao/minitorch:v0 |
self_improve | Refactor/improve OrCAID itself | python:3.12-slim |
paperbench | Reproduce scientific paper | ghcr.io/openhands/agent-server:latest-python |
uv run python — NOT bare python~/.hermes/orchestrator-memory/ (NOT ~/.orcaid/)export ORCAID_RETRY_POLICY=kl