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idea-generation

Systematic stock screening and investment idea sourcing. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Use when looking for new ideas, running screens, or conducting thematic sweeps. Triggers on "idea generation", "stock screen", "find ideas", "what looks interesting", "screen for", "new ideas", or "pitch me something".

68

Quality

82%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

65%

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

The body is a genuinely actionable, well-sequenced idea-generation workflow, but it is a long monolithic single file and lacks validation checkpoints for its batch screening step. Splitting detail into references and adding a candidate-verification step would lift the two capped dimensions.

Suggestions

Add an explicit validation/verification checkpoint in Step 2 (e.g., 'For each screen output, confirm the data is current and the metric source before presenting as a candidate') to satisfy the batch-operation feedback-loop requirement.

Move the detailed per-screen criteria (Value/Growth/Quality/Short/Special Situation) into a references file (e.g. SCREENS.md) and summarize each screen's thesis inline, so SKILL.md stays a lean overview with one-level-deep references.

Trim the empty-row presentation table and obvious notes (e.g., 'Screens surface candidates, not conclusions') to tighten token usage, or compress the template to a single example block.

DimensionReasoningScore

Conciseness

Mostly efficient domain specifics (screen thresholds, metrics, thesis template), but the presentation table with empty placeholder rows and a few self-evident notes could be tightened.

2 / 3

Actionability

Provides concrete executable guidance—specific screening thresholds ('Revenue growth >15% YoY', 'FCF yield >5%'), a defined idea-presentation template, and an explicit output format—that an instruction-only skill can directly follow.

3 / 3

Workflow Clarity

A clear 5-step sequence exists, but the batch screening operation lacks explicit validation/verification checkpoints beyond a 'needs fundamental work' note, which caps workflow clarity at 2 per the rubric's batch-operation guidance.

2 / 3

Progressive Disclosure

Sections are well organized, but no bundle files exist and all detail (detailed screen criteria, templates) is inline in a ~110-line monolithic file rather than offloaded to one-level-deep references.

2 / 3

Total

9

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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.

The description is specific, complete, and well-triggered, cleanly covering both capability and use-case with natural phrasing. It is one of the stronger examples and needs no structural changes.

DimensionReasoningScore

Specificity

Lists multiple concrete actions—'quantitative screens, thematic research, and pattern recognition to surface new long and short ideas'—rather than vague language.

3 / 3

Completeness

Explicitly answers 'what' (stock screening and investment idea sourcing) and 'when' via a 'Use when looking for new ideas, running screens, or conducting thematic sweeps' clause with triggers.

3 / 3

Trigger Term Quality

Natural phrasing a user would actually say ('idea generation', 'stock screen', 'find ideas', 'what looks interesting', 'screen for', 'new ideas', 'pitch me something') with good variation coverage.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear investing/idea-sourcing niche with distinct, domain-specific triggers unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
anthropics/financial-services
Reviewed

Table of Contents

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