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brand-intel-branddev

Brand intelligence - logos, colors, fonts, styleguides, and company data from any domain

42

Quality

42%

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

Fix and improve this skill with Tessl

tessl review fix ./skills/brand/capabilities/brand-intel-branddev/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

35%

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, mostly actionable API reference undermined by pervasive parameter duplication and one broken example. It lacks progressive disclosure and a validation checkpoint in setup.

Suggestions

De-duplicate the repeated timeoutMS/force_language/maxSpeed boilerplate by documenting shared parameters once and referencing them per endpoint.

Fix the malformed 'Query website data using AI' curl body so the example is copy-paste executable.

Add a setup validation step (e.g., echo or test the API key, make a trivial call) so the workflow has an explicit checkpoint.

DimensionReasoningScore

Conciseness

The timeoutMS parameter is duplicated verbatim ~9 times, force_language/maxSpeed repeat across endpoints, and the 'Capabilities' list restates the per-endpoint descriptions, padding the file with redundant tokens.

1 / 3

Actionability

Most endpoints ship concrete copy-paste curl commands, but the 'Query website data using AI' example has a malformed -d body (closes early with stray lines and no 'body' field), so the guidance is not fully executable.

2 / 3

Workflow Clarity

The Setup section gives a sequence (read credentials, export env vars, fallback npx login) but includes no validation checkpoint to confirm the key is set or a call works.

2 / 3

Progressive Disclosure

No bundle files exist, so all 274 lines of per-endpoint API reference sit inline in one organized-but-monolithic file; the section structure saves it from a 1, but detail that could be split remains inline.

2 / 3

Total

7

/

12

Passed

Description

50%

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 clearly names the domain and concrete outputs but is noun-heavy with no actions and no explicit use-trigger guidance. It is functional but not exemplary.

Suggestions

Add active verbs ('Extract', 'Retrieve', 'Identify') to describe concrete actions rather than only listing output nouns.

Append a 'Use when...' clause with natural trigger terms (e.g., when the user asks for a brand's logos, colors, fonts, or company info from a domain).

Include common keyword variations such as 'brand data', 'company info', and 'design system' to improve trigger coverage.

DimensionReasoningScore

Specificity

Names the domain ('Brand intelligence') and concrete output objects ('logos, colors, fonts, styleguides, and company data'), but lists no verbs/actions, so it falls short of the 'multiple specific concrete actions' anchor.

2 / 3

Completeness

It states what the skill does but lacks any 'Use when...' trigger clause, which per the guidelines caps completeness at 2.

2 / 3

Trigger Term Quality

Terms like 'logos', 'colors', 'fonts', 'styleguides' are reasonably natural, but common variations such as 'brand data', 'company info', and 'design system' are missing.

2 / 3

Distinctiveness Conflict Risk

'Brand intelligence from any domain' is a reasonably clear niche, but with no explicit triggers it could still overlap with general web-scraping skills.

2 / 3

Total

8

/

12

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
gooseworks-ai/goose-skills
Reviewed

Table of Contents

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