analyze-dataset-token-length

analyze-dataset-token-length is a Fine-tuning & training data skill for AI agents, published by open-thoughts in the OpenThoughts-Agent repository on GitHub. Skillspace rates analyze-dataset-token-length D (55/100) and it passed the safety scan; the rating is based on static analysis only.

Analyze the token length of an OT-Agent conversation-format (ShareGPT-style) dataset — the per-trace distribution (median/p90/max) and/or counts under a token threshold + a metadata predicate (e.g. "task_complete AND < 32768 tokens"). Use when asked how long traces are, how many fit a context window (32k/131k), or to filter a trace dataset by length + a field. Uses the OT-Agent analysis tools + the Qwen3-8B tokenizer. Runs LOCALLY on the Mac (no GPU); full-dataset tokenization of ~10k multi-turn traces takes a few minutes → run it in the background.

Grade
D
Quality
55 / 100
Safety
Passed
GitHub stars
259

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.

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View source on GitHubopen-thoughts/OpenThoughts-Agent

Our review

Architecture
84 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Apache-2.0
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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