flagevalmm-add-dataset
flagevalmm-add-dataset is an LLM evaluation & observability skill for AI agents, published by flageval-baai in the FlagEvalMM repository on GitHub. Skillspace rates flagevalmm-add-dataset F (53/100) and it passed the safety scan; the rating is based on static analysis only.
Integrate new evaluation datasets into FlagEvalMM as benchmark tasks. Use when adding a dataset from HuggingFace or other sources to FlagEvalMM, creating task configs, writing data processors, building custom evaluators, setting up prompt templates, or running evaluation benchmarks on VLMs. Trigger on: "add dataset to FlagEvalMM", "create a new task", "integrate benchmark", "evaluate model on [dataset]", "write process.py", "write evaluator", or any request involving the tasks/ directory of FlagEvalMM.
- Grade
- F
- Quality
- 53 / 100
- Safety
- Passed
- GitHub stars
- 107
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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