openh-rf-submission-eval
openh-rf-submission-eval is a Peer review & grants skill for AI agents, published by open-h in the OpenH-RF repository on GitHub. Skillspace rates openh-rf-submission-eval B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Evaluate a submission to the OpenH-RF (open ultrasound channel-data) initiative against the RFP and submission guide. Use this whenever the user wants to review, grade, validate, accept, or QA a proposed contribution to OpenH-RF, OpenH, or any open ultrasound channel/RF dataset — including when they hand over a folder, a Hugging Face link, a zea file, or a data card and ask whether it's ready, whether it meets the bar, what's missing, or whether it can be accepted. Also use when the user wants to auto-fix gaps in a submission, such as generating a missing B-mode pipeline, filling in data-card fields, or rendering a reference reconstruction. Trigger even if the user doesn't say OpenH-RF by name — ultrasound channel data plus a review or intake context is enough.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 47
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- 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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