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

100%

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

100%

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

A tight, action-oriented skill body: concrete tool chaining, specific metrics, and structured output tables with no concept bloat. It is well within token budget and appropriately scoped for a single-purpose synthesis task.

Dimension	Reasoning	Score
Conciseness	The body is lean and assumes Claude's competence — no padding explaining what P/E ratios or consensus estimates are; every section earns its place.	3 / 3
Actionability	Concrete, executable guidance throughout: named MCP tools with parameters, exact metrics to extract (ROE, ROIC, beta, 52-week range), and full output table schemas to fill.	3 / 3
Workflow Clarity	A clear 6-step numbered sequencing from consensus snapshot to synthesis with specific per-step outputs; the operations are read-only data aggregation, so missing validation checkpoints is not penalized.	3 / 3
Progressive Disclosure	No bundle files exist; the ~50-line body is well-organized into clear sections (Core Principles, MCP Tools, Workflow, Output Format), satisfying the simple-skill exemption for external references.	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.

A strong, third-person description that concisely states concrete capabilities and provides explicit 'Use when' trigger guidance covering natural user phrasings. It clearly distinguishes the skill from others with no vague fluff.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions and data sources ('combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context'), matching the anchor for multiple specific concrete actions.	3 / 3
Completeness	Explicitly answers both what ('Generate comprehensive equity research snapshots combining...') and when (the 'Use when...' trigger clause), matching the top anchor.	3 / 3
Trigger Term Quality	The 'Use when researching stocks, comparing estimates to actuals, analyzing company financials, assessing equity valuations, or building investment cases' clause covers natural terms a user would say.	3 / 3
Distinctiveness Conflict Risk	Equity research is a clear niche with distinct triggers (estimates, fundamentals, valuations, investment cases) unlikely to fire for unrelated skills.	3 / 3
	Total	12 / 12 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: eb0c1ea

Reviewed: about 14 hours ago

Table of Contents

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