AgentSkillsCN

assess

对文本内容进行布尔测试，以自然语言谓词为依据。支持长文本自动分块（只要有任何一块匹配即返回“true”）。

SKILL.md
--- frontmatter
name: assess
description: Boolean test of text content against a natural language predicate. Features auto-chunking for long texts (returns "true" if ANY chunk matches).
type: python
flattens_collections: true

assess

Semantic boolean testing. Evaluates natural language predicates against text content using LLM.

Input

  • •target: String content to test (empty inputs return "false")
  • •predicate: Natural language question (e.g., "mentions specific dates?", "is critical of the author?")

Output

Returns string "true" or "false" (lowercase string, not JSON boolean).

Behavior

  • •Auto-Chunking: Texts >16k chars are split into boundary-aware chunks
  • •OR Aggregation: Returns "true" on first matching chunk (short-circuit), "false" only if all chunks fail
  • •Fallback: Returns "false" on ambiguous LLM responses

Planning Notes

  • •Phrase predicates to detect presence rather than global summary (chunks are evaluated in isolation)
    • •Good: "Contains mention of inflation?"
    • •Risky: "Is the main topic inflation?"
  • •Every chunk requires an LLM call

Example

json
{"type":"assess","target":"$my_note","predicate":"is urgent?","out":"$urgency"}