daily-signal-composite
daily-signal-composite is an Investment analysis & markets skill for AI agents, published by Mosaic-agent in the Mosaic-fund-agent repository on GitHub. Skillspace rates daily-signal-composite D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Run the Signal Aggregator to compute a unified 0–100 composite score per ETF by combining macro events, news sentiment, NAV Z-scores, FII/DII flows, ML predictions, and anomaly regimes. Use when user asks for ETF buy/sell recommendations, signal dashboard, or composite view.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 33
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 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
Not checked 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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