flowfile-research-frontier
flowfile-research-frontier is an Engineering planning & specs skill for AI agents, published by Edwardvaneechoud in the Flowfile repository on GitHub. Skillspace rates flowfile-research-frontier D (66/100) and it passed the safety scan; the rating is based on static analysis only.
The maintainer's three long-horizon research bets for Flowfile (AI-native flow building, visual↔code round-trip, decentralized execution on a centralized catalog) with the verified existing assets each builds on, PR-sized first steps, falsifiable milestones, and the research discipline that turns a hunch into a merged change. Use when scoping ambitious/exploratory work, writing a design doc or spike, proposing a "big idea," choosing what to prototype next, evaluating whether an experiment is worth shipping, or asked "what is Flowfile trying to become" / "where is this going" / "research direction" / "north star."
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 330
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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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