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industry

Cross-company industry comparison across multiple tickers

64

Quality

75%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./plugins/daloopa/skills/industry/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-3

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 well-structured, highly actionable workflow with concrete tools, metrics, citation format, fallback logic, and a detailed deliverable checklist. It respects Claude's competence while providing everything needed to execute the multi-company comparison end to end.

DimensionReasoningScore

Conciseness

The body is dense and actionable throughout, with no padding or explanation of concepts Claude already knows; each numbered section earns its place for a genuinely complex multi-company comparison task, matching the lean-and-efficient anchor.

3 / 3

Actionability

It specifies a concrete function (discover_companies), exact metric and KPI lists, an explicit citation format, a precise output path, and search-query fallbacks — fully executable guidance rather than vague direction.

3 / 3

Workflow Clarity

A clear 7-step sequence is paired with an explicit feedback loop (empty search -> alternative keywords -> broader single-keyword) and a comprehensive report-component checklist, satisfying the clear-sequence-with-feedback anchor.

3 / 3

Progressive Disclosure

One-level-deep references (../data-access.md, ../design-system.md) are clearly signaled up front, content is organized into 7 well-structured numbered sections, and no nested or deeply chained references exist.

3 / 3

Total

12

/

12

Passed

Description

50%Weight 40%Scale 1-3

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 concrete and domain-specific but terse: it states what the skill does without any explicit 'when to use it' trigger guidance or natural keyword variations. Adding a 'Use when...' clause with common user phrases would lift completeness, trigger quality, and distinctiveness together.

Suggestions

Add a 'Use when...' clause, e.g. 'Use when comparing multiple companies, peers, or tickers side by side, or when the user asks for an industry or competitive comparison.'

Include natural trigger variations users would actually say, such as 'compare companies', 'peer comparison', 'competitor analysis', or 'side-by-side comparison'.

List a couple of concrete actions (e.g. 'pulls comparable financial metrics, KPIs, and filings, then ranks companies') to reach the multi-action specificity anchor.

DimensionReasoningScore

Specificity

Names a concrete domain and scope ('Cross-company industry comparison across multiple tickers') but lists only the single action of comparison rather than multiple specific actions, so it does not reach the level-3 multi-action anchor.

2 / 3

Completeness

It clearly answers 'what' the skill does but provides no explicit 'when to use it' trigger guidance, so per the judging guidelines completeness is capped at 2.

2 / 3

Trigger Term Quality

'industry comparison' and 'tickers' are terms a user might naturally say, but common variations like 'compare companies', 'peer comparison', or 'competitor analysis' are absent and there is no 'Use when' trigger clause, matching the missing-common-variations anchor.

2 / 3

Distinctiveness Conflict Risk

'Cross-company...multiple tickers' carves a niche, but without explicit trigger terms it could still overlap with other single-company or financial-analysis skills, fitting the somewhat-specific-but-could-overlap anchor.

2 / 3

Total

8

/

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
openai/plugins
Reviewed

Table of Contents

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