datagen-standard-launch
datagen-standard-launch is a Fine-tuning & training data skill for AI agents, published by open-thoughts in the OpenThoughts-Agent repository on GitHub. Skillspace rates datagen-standard-launch D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Launch NON-AGENTIC (standard) data generation — plain vLLM/API completion generation with NO Harbor agent loop or Daytona sandboxes. Two paths: (1) Curator sharded datagen — the multi-node data-parallel run_curator_datagen_sharded.sbatch (one vLLM server per node, disjoint dataset slices, auto-resume, manual afterany restart chain, `curator` conda env, --account=reformo); (2) the declarative `generate.py` / class-based `generate_abstract.py` generators under data/ (data/generation BaseDataGenerator + InferenceEngine for OpenAI/Anthropic/vLLM). Use for bulk completion/synthetic-data generation. The AGENTIC trace-generation path (Harbor + Daytona rollouts, MiniMax/GLM trace sets) is the SEPARATE `datagen-launch` skill.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 259
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- 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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