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stock-analyzer

A comprehensive stock deep analysis tool that combines real-time quotes, fundamental metrics, technical indicators, and growth analysis into a single professional report. Supports A-share, US stocks, HK stocks. Generates detailed investment recommendations with risk assessment and actionable trading strategies.

64

Quality

76%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./SKILLs/stock-analyzer/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

85%

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, well-structured, and appropriately scoped with a clear workflow and verified bundle reference; the main weakness is mild redundancy where commands and ticker formats are repeated across sections.

Suggestions

Consolidate the analyze.py invocation so it appears once (e.g., in Usage) and have the Workflow reference it rather than re-printing the full command.

Remove the duplicate ticker-format listing by keeping the dedicated 'Stock Ticker Formats' section and trimming the inline repeats in the Usage examples.

DimensionReasoningScore

Conciseness

The body is mostly efficient with no concept-explanation fluff, but the analyze.py command is repeated in both Usage and Workflow, and ticker formats appear both inline in examples and in a dedicated section, so it could be tightened.

2 / 3

Actionability

Provides fully executable commands (e.g., `python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" 601288.SS`), a parameters table, concrete ticker-format examples, and the referenced script exists, making it copy-paste ready.

3 / 3

Workflow Clarity

The Workflow gives a clear 3-step sequence (identify ticker with a web-search fallback, execute, interpret results); as a simple read-only analysis with an unambiguous action, it qualifies for the top anchor per the simple-skills scoring note.

3 / 3

Progressive Disclosure

The body is a well-organized overview that points to a single real, one-level-deep bundle file (scripts/analyze.py, verified to exist), with output detail deferred to the script and no nested references.

3 / 3

Total

11

/

12

Passed

Description

67%

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 and clearly scoped to stock analysis with strong action listing, but it lacks an explicit 'when to use' trigger clause and its keywords lean toward feature description rather than natural user-speech triggers.

Suggestions

Add an explicit 'Use when...' clause naming natural user triggers (e.g., 'Use when the user asks for stock analysis, investment recommendations, or trading strategies').

Include common user-speech variations like 'stock analysis', 'analyze a stock', or 'investment report' alongside the feature-list terms.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ('combines real-time quotes, fundamental metrics, technical indicators, and growth analysis' and 'Generates detailed investment recommendations with risk assessment and actionable trading strategies'), matching the multiple-specific-actions anchor.

3 / 3

Completeness

Clearly answers 'what' the skill does, but there is no explicit 'Use when...' or equivalent trigger guidance in the description itself, capping completeness at 2 per the rubric guideline.

2 / 3

Trigger Term Quality

Contains relevant domain terms ('stock deep analysis', 'investment recommendations', 'trading strategies', 'A-share, US stocks, HK stocks') but these are feature-list phrasing rather than the natural user-speech triggers, and common variations are missing.

2 / 3

Distinctiveness Conflict Risk

The stock-analysis niche with explicit A-share/US/HK market support is a clear, distinct domain unlikely to trigger for unrelated skills.

3 / 3

Total

10

/

12

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
netease-youdao/LobsterAI
Reviewed

Table of Contents

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