sirvir-research
sirvir-research is a Local & open models skill for AI agents, published by SouthpawIN in the sirvir repository on GitHub. Skillspace rates sirvir-research C (78/100) and it passed the safety scan; the rating is based on static analysis only.
Model research skill. Wraps HuggingFace scanning, OpenRouter pricing sync, and creator quality tracking. Documents how to scan HuggingFace for new GGUF models matching fleet archetypes, assess creator quality, update the model database, and sync to GitHub. Includes the creator quality database schema and the daily scan workflow. Complements the turbofit core skill — turbofit serves models, sirvir-research finds and vets them.
- Grade
- C
- Quality
- 78 / 100
- Safety
- Passed
- GitHub stars
- 25
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Maintains the Sirvir fleet's own model database and sweep
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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