smithery/Piebald-AI

types

Reference for Splitrail's core data types. Use when working with ConversationMessage, Stats, DailyStats, or other type definitions.

Installation

$ npx skills add smithery/Piebald-AI --skill types

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,081 B
  • docs SUMMARY.md 144 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Key Types

Read src/types.rs for full definitions.

Core Types

  • ConversationMessage - Normalized message format across all analyzers. Contains application source, timestamp, hashes for deduplication, model info, token/cost stats, and role.
  • Stats - Comprehensive usage metrics for a single message including token counts, costs, file operations, todo tracking, and composition stats by file type.
  • DailyStats - Pre-aggregated stats per date with message counts, conversation counts, model breakdown, and embedded Stats.
  • Application - Enum identifying which AI coding tool a message came from.
  • MessageRole - User or Assistant.

Hashing Strategy

  • local_hash: Deduplication within a single analyzer
  • global_hash: Deduplication on upload to Splitrail Cloud

Aggregation

Use crate::utils::aggregatebydate() to group messages into daily stats. See src/utils.rs.