delegate-autoquant
delegate-autoquant is an Agent task delegation & fan-out skill for AI agents, published by TraderAlice in the OpenAlice repository on GitHub. Skillspace rates delegate-autoquant D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Delegate reproducible quantitative research from a general Chat Workspace to the durable AutoQuant desk and consume its evidence-bound handoff. Use when a request needs a quantitative Project, historical data intake, factor or portfolio research, backtesting, governed experiments, robustness evidence, or an AutoQuant follow-up. Do not use for ordinary market commentary, broker state, order execution, or a question Chat can answer directly.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 7,057
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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