equity-research

Generate comprehensive equity research snapshots combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context. Use when researching stocks, comparing estimates to actuals, analyzing company financials, assessing equity valuations, or building investment cases.

Quality

93%

Does it follow best practices?

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Adds up to 20 points to the overall score

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Securityby

Passed

No findings from the security scan

Quality

Content

93%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.

An excellent, lean skill body that provides concrete tool-routing guidance and a clear synthesis workflow. The only minor gap is implicit rather than explicit validation checkpoints in the analysis sequence.

Dimension	Reasoning	Score
Conciseness	Lean and efficient throughout: no explanation of concepts Claude already knows, concise tool descriptions, and direct workflow steps where every token earns its place.	5 / 5
Actionability	Fully executable guidance: named MCP tools, exact arguments (FY1/FY2, EPS/Revenue/EBITDA/DPS), specific metrics to extract (ROE, ROIC, Net Debt/EBITDA), and concrete output tables.	5 / 5
Workflow Clarity	Clear 6-step sequence with each step's tool and deliverable, but validation checkpoints are implicit (e.g., no 'verify analyst count is adequate' gates) rather than explicit, keeping it just below a 5.	4 / 5
Progressive Disclosure	Well-organized into clear sections (Core Principles, Available MCP Tools, Tool Chaining Workflow, Output Format) with no bundle files needed; under 50 lines and appropriately self-contained.	5 / 5
	Total	19 / 20 Passed

Description

92%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 strong description that clearly states what the skill does and when to use it, with concrete actions and natural trigger phrases. The only minor gap is a few missing common synonyms in the trigger terms.

Dimension	Reasoning	Score
Specificity	Lists multiple specific concrete actions — combining 'analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context' — with comprehensive coverage of the data inputs.	5 / 5
Completeness	Explicitly answers both 'what' (generate research snapshots combining four named data sources) and 'when' ('Use when researching stocks, comparing estimates to actuals, analyzing company financials, assessing equity valuations, or building investment cases').	5 / 5
Trigger Term Quality	Includes good natural phrases users would say ('researching stocks', 'analyzing company financials', 'assessing equity valuations', 'building investment cases'), though a few common synonyms are absent, keeping it just short of fully comprehensive.	4 / 5
Distinctiveness Conflict Risk	Occupies a clear niche (equity research synthesis) with distinct trigger phrases and minimal overlap risk with other skills.	5 / 5
	Total	19 / 20 Passed

Validation

100%

Warnings & errors only

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: anthropics/financial-services
Path: plugins/partner-built/lseg/skills/equity-research/SKILL.md
Commit: 69cbc81

Reviewed: about 8 hours ago

Table of Contents

Discovery Implementation Validation

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