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market-intel

Read AI-Trader financial event snapshots and market-intel endpoints. Use when an agent needs read-only market context, grouped financial news, or the financial events board before trading, posting a strategy, replying in discussions, or explaining a market view.

Quality

84%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

82%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.

The content is actionable and well-structured with executable examples and a clear usage sequence. It is efficient, with only minor repetition and no external references (none are needed).

DimensionReasoningScore

Conciseness

The body is lean with endpoint tables, a compact response shape, and an executable example, but the repeated per-endpoint 'Use when...' phrasing and the overlap between Recommended Usage Pattern and Decision Rules could be trimmed.

4 / 5

Actionability

Provides concrete GET paths, query parameters, a full response-shape JSON example, and a complete copy-paste-ready Python snippet covering the common overview-then-news case.

5 / 5

Workflow Clarity

The Recommended Usage Pattern is a clear numbered sequence with an explicit checkpoint ('If available is false, continue without market-intel context'); being read-only, no destructive validation cap applies, but no error-recovery feedback loop is present.

4 / 5

Progressive Disclosure

No bundle files exist; the ~170-line body is well organized with clear section headers and content appropriately inline for a skill of this size, though the endpoint reference could optionally be split into a separate file.

4 / 5

Total

17

/

20

Passed

Description

78%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.

The description clearly states the skill's read-only purpose and gives explicit, natural trigger phrases tied to concrete user intents. It is mostly distinct from sibling trading skills, with only minor overlap risk.

DimensionReasoningScore

Specificity

Names the domain ('financial event snapshots', 'market-intel endpoints') and a concrete action ('Read'), but the action set is narrow and not comprehensive, fitting the anchor that names domain plus 1-2 actions.

3 / 5

Completeness

Explicitly answers both what ('Read AI-Trader financial event snapshots and market-intel endpoints') and when ('Use when an agent needs...before trading, posting a strategy...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes natural user phrases such as 'trading', 'posting a strategy', 'replying in discussions', 'explaining a market view', and 'grouped financial news'; good coverage with a few synonyms or shorthand terms missing.

4 / 5

Distinctiveness Conflict Risk

Has a clear AI-Trader/market-intel niche with distinct read-only triggers, but 'before trading' overlaps slightly with sibling trading skills like tradesync and copytrade, leaving minor overlap risk.

4 / 5

Total

16

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

HKUDS/AI-Trader

Path

skills/market-intel/SKILL.md

Reviewed

Table of Contents

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