# Agent Skills Pipeline Configuration

gitea:
  base_url: http://localhost:3000
  token: "b721b5f288d227e9336241f95319437ab40256d6"
  owner: tonyjbala
  repo: agent-skills
  clone_url: http://localhost:3000/tonyjbala/agent-skills.git

github:
  token: "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"

llm:
  base_url: http://100.64.0.2:8083/v1
  model: /home/ty/models/qwen36-27b-mtp-gguf/Qwen3.6-27B-UD-Q4_K_XL.gguf
  api_key: ""
  max_tokens: 8000

# Secondary LLM for pipeline tasks — uses LFM on 3060 (llama.cpp)
llm_pipeline:
  base_url: http://100.64.0.4:8080
  model: C:\models\LFM2.5-2.6B-Q4_K_M.gguf
  api_key: ""
  max_tokens: 6000

scout:
  queries:
    - 'langchain workflow example'
    - 'langgraph agent workflow'
    - 'autogen multi-agent example'
    - 'crewai task workflow'
    - 'llamaindex pipeline example'
    - 'mcp server implementation'
    - 'rag agent workflow'
    - 'tool calling workflow'
  filters:
    stars_min: 10
    pushed_after: 2026-02-01
    language: Python
    archived: false
    size_max_kb: 10000
  max_results: 15
  cooldown_hours: 6

filter:
  categories:
    keep:
      - "AI Agent"
      - "Machine Learning"
      - "NLP"
      - "Data Processing"
      - "DevOps"
      - "Web Framework"
    reject:
      - "CSS"
      - "JavaScript"
      - "HTML"
      - "Game"
      - "Dataset"
  min_stars: 10
  max_age_days: 365

reader:
  max_files: 5
  max_tokens_per_file: 40000

extractor:
  min_steps: 3
  required_fields:
    - goal
    - inputs
    - steps
    - outputs

scoring:
  min_score: 0.85
  checks:
    - readme_exists
    - examples_exist
    - min_steps
    - reusable
    - general_purpose

generator:
  output_format: hermes_skill

reviewer:
  confidence_min: 0.80

publisher:
  branch_prefix: "skill/"
  assign_reviewer: ""