fastworkflow-nlu-pipeline-reference

fastworkflow-nlu-pipeline-reference is an NLP, speech & audio ML skill for AI agents, published by radiantlogicinc in the fastworkflow repository on GitHub. Skillspace rates fastworkflow-nlu-pipeline-reference F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.

Domain reference for fastWorkflow's NLU stack AS IMPLEMENTED IN THIS REPO: two-tier TinyBERT/DistilBERT intent classifiers, confidence thresholds, synthetic utterance generation (litellm + PersonaHub), DSPy parameter extraction, runtime matching layers (fuzzy/embedding-cache/classifier), and per-role litellm model routing. Load this when you hear: "wrong command predicted", "ambiguous intent", "intent detection", "parameter extraction returned NOT_FOUND", "threshold.json", "confidence threshold", "utterance generation", "DSPy signature/cache", "LabeledFewShot", "litellm_proxy", "why did the classifier pick X", or when modifying anything under model_pipeline_training.py, intent_detection.py, signatures.py, generate_synthetic.py, or cache_matching.py. Do NOT load for step-by-step failure triage (use fastworkflow-debugging-playbook), the full env-var catalog (fastworkflow-config-and-flags), or tau-bench benchmark mechanics (fastworkflow-taubench-reference).

Grade
F
Quality
15 / 100
Safety
Unsafe
GitHub stars
49

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.

View source on GitHubradiantlogicinc/fastworkflow

Our review

Architecture
72 / 100
Maturity
Structured: ships references or scripts
Security scan
Critical-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • destructive rm -rf on home/root
  • dynamic code execution (eval/exec)
  • 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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