transcript-distillation
transcript-distillation is a Fine-tuning & training data skill for AI agents, published by ProfSynapse in the Synaptic-Tuner repository on GitHub. Skillspace rates transcript-distillation C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Turn local agent transcripts (Claude Code, Codex CLI, or any format with an adapter) into high-quality fine-tuning rows. Use when someone wants to mine their own coding-agent conversation logs into an SFT/KTO/DPO/GRPO dataset — parse the logs, extract substantive turns, scrub secrets, score each session by outcome (tests passed / built clean / committed / PR'd), dedup, and tier by quality. Config-driven and format-pluggable; point it at a transcript directory and it produces deduped, quality-tiered JSONL. This skill is about USING the checked-in distill engine via CLI + YAML.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 26
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- 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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