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akshare

AKShare financial data aggregator (18k+ stars). Free, no API key. Covers A-shares, US, HK, futures, macro, forex. Primary fallback for tushare and yfinance.

61

Quality

73%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./a_全网优秀资源/10_大模型/07_skill包/vibe_trading_skills/akshare/SKILL.md

The canonical home for this skill is akshare in HKUDS/Vibe-Trading

SKILL.md
Quality
Evals
Security

Quality

Content

76%Weight 40%Scale 1-5

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

A highly actionable, well-organized data-source skill with copy-paste code and dense reference tables. Its main gaps are the lack of a sequenced workflow with validation checkpoints and a referenced `references/` directory that is not actually bundled.

Suggestions

Add a brief numbered usage workflow with a validation checkpoint, e.g. '1. format symbol/date 2. call the hist function 3. verify df is non-empty and convert 日期 via pd.to_datetime()'.

Either create the referenced `references/` directory with the promised less-common interface docs, or remove the dangling pointer to it.

Trim the Overview so it does not restate the frontmatter description (free/no-API-key/18k+ stars) word-for-word.

DimensionReasoningScore

Conciseness

Mostly lean and information-dense (compact tables, copy-paste Quick Start), but the Overview restates the frontmatter ('completely free, open-source', 'No registration or API key required', '18k+ stars') and could be trimmed.

4 / 5

Actionability

Fully executable, copy-paste-ready Quick Start covering the three common cases (A-share/US/HK daily OHLCV) plus concrete function-name/param tables, symbol-format and date-format specs — the common cases are directly runnable.

5 / 5

Workflow Clarity

The pieces (symbol format, date format, function calls) are present but not sequenced into a numbered workflow, and there are no validation checkpoints (e.g., 'verify df is non-empty / has expected columns') even for the read-only fetch path.

3 / 5

Progressive Disclosure

Well-organized into clear sections with a one-level-deep reference pointer ('see the references/ subdirectory'), but that referenced directory does not exist (dangling reference) and the API tables are somewhat bulky inline.

4 / 5

Total

16

/

20

Passed

Description

70%Weight 40%Scale 1-5

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

A solid, specific description that names the library, its coverage, and its fallback role with good natural trigger terms. It would benefit from an explicit 'Use when...' clause and a few more synonyms to push completeness and trigger coverage higher.

Suggestions

Add an explicit trigger clause, e.g. 'Use when fetching Chinese/US/HK stock, futures, macro, or forex data, or as a fallback when tushare or yfinance are unavailable.'

Include common synonyms such as 'stock data', 'market data', and 'OHLCV' to broaden trigger-term coverage.

Lead with a concrete action verb (e.g., 'Fetches/aggregates financial data') instead of the noun phrase 'financial data aggregator'.

DimensionReasoningScore

Specificity

Names the domain ('AKShare financial data aggregator') and lists concrete coverage areas ('A-shares, US, HK, futures, macro, forex'), but the action verbs are minimal/generic ('aggregator', 'Covers', 'fallback') rather than distinct enumerated actions.

3 / 5

Completeness

Clearly states what it does and provides equivalent trigger guidance via 'Primary fallback for tushare and yfinance', but the 'when' could be more explicit (e.g., 'Use when tushare/yfinance are unavailable') and omits direct-use triggers like 'Chinese stock data'.

4 / 5

Trigger Term Quality

Strong natural keywords users actually say — 'AKShare', 'tushare', 'yfinance', 'A-shares', 'forex' — but misses common synonyms like 'stock data', 'market data', 'OHLCV', or 'price history'.

4 / 5

Distinctiveness Conflict Risk

A named library with a clear fallback niche is mostly distinct, but there is minor overlap risk with sibling tushare/yfinance skills since a user mentioning those sources could trigger either.

4 / 5

Total

15

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
charliedream1/ai_quant_trade
Reviewed

Table of Contents

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