datagen-reduce-dataset-snapshots
datagen-reduce-dataset-snapshots is a Fine-tuning & training data skill for AI agents, published by open-thoughts in the OpenThoughts-Agent repository on GitHub. Skillspace rates datagen-reduce-dataset-snapshots D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Reduce the Daytona snapshot (unique-environment) count of a Harbor task dataset below the cap by editing its patcher's environment-build logic, without breaking task quality. Use when a dataset is flagged "SnapshotCapExceeded" / "N unique environments" with N over the threshold (target < 10), e.g. swegym at 906. The loop: set snapshot+oracle thresholds → count → diagnose the env-hash driver → group/unionize Dockerfiles in the patcher → regenerate + upload → re-count → TWO-TIER quality gate (harbor infra smoke + `--stages oracle` gold-patch yield) → navigate the snapshot↔fidelity tradeoff within a bounded iteration budget → record. Runs LOCALLY on the Mac + Daytona (no GPU).
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 259
Unproven: rated by static analysis only, not yet compared head-to-head.
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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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