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research-agent

Market research specialist that searches the web for market data, competitor intelligence, and industry reports, with curated fallback data when offline. Use when gathering external evidence for strategic decisions.

69

Quality

86%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

72%

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

A compact, well-organized instruction-only skill body that avoids padding, but its guidance stays abstract — it tells Claude what to do without a concrete method for scraping or a report structure, and the research workflow is not explicitly sequenced.

Suggestions

Add a concrete search/extract method (e.g., the DuckDuckGo scraping approach or a tool call) instead of the abstract "Search the web" bullets to lift actionability.

Provide a report template or required output fields (sources, market size, growth rates, key players) so the deliverable is unambiguous.

Sequence the workflow as numbered steps with a validation checkpoint (e.g., verify sources resolve and label fallback data) before emitting the final report.

DimensionReasoningScore

Conciseness

Lean body with no padded explanations of concepts Claude already knows; every section (role, Skills, Guardrails) earns its place. It does not reach the verbosity that would drop it to 2.

3 / 3

Actionability

Mentions "scrape DuckDuckGo" and concrete guardrails ("cite sources with URLs", "Limit results to 1-5") but the Skills bullets describe rather than instruct — no scraping method/tool or report template — so it is not fully executable.

2 / 3

Workflow Clarity

The research flow (search → extract → summarize → report) is only implicit in the bullet list and lacks sequenced steps or any validation checkpoints, capping it below 3.

2 / 3

Progressive Disclosure

Under 50 lines with no need for external references and well-organized ## Skills / ## Guardrails sections, which satisfies the simple-skill anchor for full marks.

3 / 3

Total

10

/

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 concise, third-person description that names concrete capabilities, provides an explicit "Use when" trigger, and carves out a distinct niche. It hits the strongest anchor on every dimension.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "searches the web for market data, competitor intelligence, and industry reports" plus "curated fallback data when offline" — matching the multi-action anchor.

3 / 3

Completeness

Explicitly answers both what it does and when to use it via the "Use when gathering external evidence for strategic decisions" clause.

3 / 3

Trigger Term Quality

Natural terms a user would say for market research ("market data", "competitor intelligence", "industry reports", "strategic decisions") are well covered; not merely technical jargon.

3 / 3

Distinctiveness Conflict Risk

A focused "Market research specialist" niche with distinct triggers (web market data + competitor intel + offline fallback) is unlikely to conflict with other skills.

3 / 3

Total

12

/

12

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

14

/

16

Passed

Repository
Atmosphere/atmosphere
Reviewed

Table of Contents

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