openclaw-cabinet-orchestrator
openclaw-cabinet-orchestrator is a Multi-stage workflow orchestration skill for AI agents, published by ScottZt in the jin-ce-zhi-suan repository on GitHub. Skillspace rates openclaw-cabinet-orchestrator D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Orchestrates this Cabinet backtest/live API workflow with robust polling and result parsing. Invoke when user asks OpenClaw to run backtests, track progress, or fetch reports.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 1,409
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 90 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Calls this project's own local backtest server endpoints
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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