argus-status
Use when checking an Argus project's progress, pending questions, active role, diagnostics, selected artifacts, intervention state, recovery options, or graceful stop status.
- License 许可
- MIT
- 最近更新
- 2026-10-31
- Stars
- ★ 147
- Forks
- 26
01 前言 Front Matter
- name
- argus-status
- description
- Use when checking an Argus project's progress, pending questions, active role, diagnostics, selected artifacts, intervention state, recovery options, or graceful stop status.
02 资源文件 3
- 参考文档agents/openai.yaml191 B
- 脚本query-discussions.py5.1 KB
- 脚本query-discussions.sh3.4 KB
03 SKILL.md 正文
Inspect And Control Argus
- Resolve the project ID from the user's explicit ID or call
argus_project_listfor the exact work directory. - Call
argus_status. Report daemon state, active role, completed and pending work, pending operator questions, and continuous objective separately. - Call
argus_artifactswhen the user asks for outputs. Report only existing allowlisted artifacts returned by Argus. - Call
argus_doctoronly when status exposes a runtime/backend fault or the user requests diagnostics. - Send ordinary steering or answers through
argus_message; Manager remains the operator front door. - Call
argus_stoponly on an explicit stop request. Keepforce=falseunless the user explicitly requests a force stop after understanding interruption risk.
Do not count provider, transport, interrupted, or resource failures as task failures. Do not translate training loss or activity into a successful result.
04 同仓库更多 Skills
target-disease-research
Use when researching a biomedical target and disease relationship, mechanism, human evidence, clinical translation, safety, failed programs, competitive trials, or an auditable pharmaceutical decision dossier.
argus-run
Use when work needs persistent multi-step execution, independent review, resumable project state, or long-running research and engineering coordination through Argus.
argus-runtime-orchestration
Portable outer-operator procedure for durable Argus missions across five hosts.
research-workflow
Plan and execute multi-step research, surveys, feasibility studies, and evidence-heavy analyses with adaptive planning, source verification, critic review, and cross-task learning. Use when a request needs multiple dependent investigations or a durable evidence trail; do not use for simple factual questions or small one-step edits.
agent-harness-pr-regression
Find reproducible, PR-attributable agent-harness regressions using scoped contracts, impact-based short circuits, and bounded differential probes.
minimal-rigorous-work
Use for Argus implementation, research, document, planning, review, and orchestration work that must stay evidence-driven and lean.