AgentSkillsCN

Gen2BasicAnalysis

使用LLM提示词，按时间范围（YYYY、YYYY/MM或YYYY/MM/DD）分析挖掘出的域名日志，并将分析结果写入datastore3 02-Analysis via CommonCode FolderNavigator。

SKILL.md
--- frontmatter
name: Gen2BasicAnalysis
description: Analyze mined domain logs over a timeframe (YYYY, YYYY/MM, or YYYY/MM/DD) using an LLM prompt, and write analysis output to datastore3 02-Analysis via CommonCode FolderNavigator.
metadata: {"openclaw":{"requires":{"bins":["python","python3"]},"os":["win32","linux","darwin"]}}

Gen2BasicAnalysis

Gen2 analysis skill for domain/timeframe trend assessment with LLM-based reasoning.

Execution

python gen2_basic_analysis.py <domain> --timeframe <YYYY|YYYY/MM|YYYY/MM/DD> --prompt "<analysis prompt>" --max-files <number> --max-chars-per-file <number> --max-total-chars <number> --llm-timeout <seconds>

Arguments

  • •domain required alphabetic string only A-Z or a-z
  • •--timeframe required supports YYYY or YYYY/MM or YYYY/MM/DD (also accepts '-')
  • •--prompt required LLM analysis instruction
  • •--max-files optional default 200
  • •--max-chars-per-file optional default 6000
  • •--max-total-chars optional default 180000
  • •--llm-timeout optional default 90

LLM configuration

Uses OpenAI-compatible Chat Completions API with environment variables:

  • •OPENAI_API_KEY required
  • •OPENAI_MODEL optional default gpt-4o-mini
  • •OPENAI_BASE_URL optional default https://api.openai.com/v1

Behavior

  1. •Resolves input folders from 01-Mine/<domain> using FolderNavigator.
  2. •Loads .txt files matching timeframe.
  3. •Builds bounded corpus.
  4. •Sends corpus + prompt to LLM for analysis.
  5. •Writes JSON output to 02-Analysis/<domain>/<matching timeframe>/.

Output

On success returns JSON with:

  • •domain
  • •timeframe
  • •files_analyzed
  • •output_path
  • •status

On error returns JSON with:

  • •domain
  • •timeframe
  • •error
  • •status