add-dynamic-filter
add-dynamic-filter is a Fine-tuning & training data skill for AI agents, published by THU-KEG in the LongTraceRL repository on GitHub. Skillspace rates add-dynamic-filter D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Guide for adding dynamic/filter hooks in slime rollout pipeline. Use when user wants sample-group selection during rollout, buffer filtering before training, or per-sample masking/processing hooks.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 38
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 4 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Adding filter hooks to the public slime RL rollout framework
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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