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kimi-datasource

Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, Chinese laws/regulations and judicial cases, Wind financial data (intraday/minute quotes, funds, bonds), IMF macro datasets (FX rates, CPI, GDP forecasts), Gildata smart screening, US SEC filings (10-K/10-Q, Form 4, 13F), or S&P Capital IQ fundamentals (top holders, consensus estimates, valuation ratios). This plugin exposes tools via MCP server `plugin-kimi-datasource_data`; call them in the flow `mcp__plugin-kimi-datasource_data__get_data_source_desc` → `mcp__plugin-kimi-datasource_data__call_data_source_tool`.

80

Quality

100%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is a lean, highly actionable overview with a clear validated workflow and well-organized sections, deliberately offloading per-source API detail to a runtime MCP call instead of inlining or nesting reference files.

DimensionReasoningScore

Conciseness

The body is lean: a compact data-source table, a tight numbered workflow, and terse 'iron rules' with no padding or explanation of concepts Claude already knows, so every token earns its place.

3 / 3

Actionability

Gives concrete tool names with JSON params (e.g. {"name":"stock_finance_data"}), exact ticker suffix rules (.SH/.SZ/.HK/.US), the /tmp/<scene>_<ts>.csv file_path pattern, and concrete batch limits (3 realtime / 10 historical tickers) — copy-paste ready guidance.

3 / 3

Workflow Clarity

A 6-step workflow with an explicit stop condition ("结果成功且已经覆盖问题时停止调用") plus pre-call validation checkpoints (web_search to verify ticker codes, must read desc before passing api_name) and error-recovery guidance, matching the clear-sequence-with-validation anchor.

3 / 3

Progressive Disclosure

No bundle files exist; the skill intentionally defers API/param details to the runtime desc tool rather than duplicating them, and the body is organized into clearly labeled numbered sections (0–6) for easy navigation.

3 / 3

Total

12

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific, trigger-rich, and explicitly pairs a 'what' with a 'when' clause tied to a distinct set of financial/academic/legal data sources. It uses third-person voice about the skill and avoids vague fluff.

DimensionReasoningScore

Specificity

Names many concrete data domains ("stocks, financial reports, technical indicators, A-share/HK/US markets ... arXiv papers, Google Scholar results, ... SEC filings (10-K/10-Q, Form 4, 13F), or S&P Capital IQ fundamentals (top holders, consensus estimates, valuation ratios)") plus the exact MCP tool flow, matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Explicitly answers both 'what' (universal external structured-data assistant exposing MCP tools) and 'when' ("Use this skill when the user wants external structured data such as ..."), matching the 'clearly answers both what AND when with explicit triggers' anchor.

3 / 3

Trigger Term Quality

Covers natural user phrasing across domains ("stocks", "financial reports", "A-share/HK/US markets", "arXiv papers", "Google Scholar results", "10-K", "13F", "汇率"/FX, valuation ratios), giving good coverage of terms users would actually say.

3 / 3

Distinctiveness Conflict Risk

The enumerated source list and named MCP server carve a clear, narrow niche unlikely to trigger competing skills; matches the 'clear niche with distinct triggers; unlikely to conflict' anchor.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
MoonshotAI/kimi-code
Reviewed

Table of Contents

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