Data Semantic Service

Trust Score 79/100

API for semantic understanding of form/view data: query field semantics, trigger single or batch understanding, and perform bulk business-object matching.

triggers:data semanticform view understandingbatch understandingquery field semanticsbusiness object matching

GitHub SKILL.md

What it does

Provides an API-driven data semantic service that analyzes form/view definitions to extract field-level semantics, identify business objects, and produce structured reports. Use it to query a single view, trigger understanding jobs for a view or datasource, run batch understanding across many views, and perform bulk object matching for downstream automation.

When to use it

When you need to discover or document field semantics for forms or logical views.
When onboarding a new datasource and you want automated mapping of technical fields to business concepts.
When you need to run bulk analyses (batch) across up to hundreds of views for reporting or migration.

What's included

Scripts: Python batch helpers for large-scale runs (scripts/data_semantic_batch.py).
References: detailed operation table, state machine, and output report formats in the SKILL body and references.
Instructions: examples for list, query, understand, batch, and match operations, plus guidance on token usage and encoding caveats.

Compatible agents

Likely useful to agents that can call REST APIs and run Python helpers (generic HTTP-capable agents, automation runners).

Audit Summary

Skill wraps the kweaver-dip data-semantic API for batch semantic understanding of form/view data. The bundled Python script is well-structured with retry logic, batch processing, and polling but requires a JWT token and live API access to run, so it failed under dry-run. SKILL.md documentation is thorough but entirely in Chinese, limiting accessibility. No security concerns — token is passed via CLI arg, no hardcoded secrets.

Watch Out

Requires JWT token from kweaver-dip platform
Documentation is entirely in Chinese
API base URL (dip.aishu.cn) must be accessible
GBK encoding workaround in decode function may cause issues with non-Chinese data

Notes

Niche enterprise integration skill targeting a specific Chinese SaaS platform. Clean security profile. Script failed dry-run only because it requires a live auth token — not a code quality issue.

Information

Repository: kweaver-dip
Stars: 126
Installs: 0

Trust Score

Overall79

Security88

Code Quality72

Architecture68

Usefulness35

Related Skills

Development Worktree

Create an isolated git worktree for feature work, auto-run project setup, and verify a clean test baseline before development.

Readwise Reader Document Management

Manage Readwise Reader documents: list, save, search, move, tag, highlight, export and bulk-edit via official and custom CLIs.

Bounty Hunter — Atlas

Persona skill: 'Atlas' — a profit-focused developer persona for discovering, evaluating and executing paid bounties or freelance tasks with ROI-aware workflows.

Junshi — Research Advisor

Daily strategic research advisor that scans arXiv/venues, digests papers, and proposes bold, ranked research ideas tailored to the user's profile.

Full Stack Builder

End-to-end builder that scaffolds, implements, tests, and optionally deploys web and API applications from a natural-language specification.

ezBookkeeping API Tools

Command-line API tools for ezBookkeeping: record and query transactions, retrieve accounts/categories/tags, and fetch exchange rates for self-hosted personal fi

Feishu Voice Sender

Convert MP3s and send them as native Feishu voice messages (playable voice clips) to users or groups.

Claw Bench

Benchmarking skill that guides an agent through a structured suite of capability tests and reporting steps for leaderboard submission.

Back to Skills