deltasci
deltasci is a Research reports & synthesis skill for AI agents, published by boheling in the deltasci repository on GitHub. Skillspace rates deltasci D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Two-perspective co-reasoning for AI4Science hypothesis generation. Runs a structured 4-round dialogue between a domain scientist (parameterized by a domain pack) and an ML engineer, producing a grounded, falsifiable research hypothesis that is honest about the AI's training-distribution edges. Domain-agnostic via pluggable packs (biomed, materials, climate, or your own). Use when a researcher has a vague idea and wants to turn it into a defensible, evaluable hypothesis with explicit handoffs for the things only the researcher can know.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 143
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
- 84 / 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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