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competitor-research

Research competitors - products, pricing, team, funding, and strategy

56

Quality

70%

Does it follow best practices?

Run evals on this skill

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/competitive-intel/capabilities/competitor-research/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

61%Weight 40%Scale 1-5

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

The body is well-structured and reasonably concise, but its curl examples contain broken JSON payloads that prevent direct execution, and the workflow lacks validation or error-recovery checkpoints. Fixing the malformed request bodies and adding verification steps would substantially improve the score.

Suggestions

Fix the malformed JSON in Steps 2, 3, 4, and Example Usage — merge the stray keys (url, num_results, website_url, searchParams, query) inside the `-d '{...}'` object so each curl is valid and copy-paste executable.

Add validation/error-handling checkpoints, e.g. check the HTTP response status and parse the JSON before proceeding to the next step.

Remove the redundant restated objective line ('Gather comprehensive intelligence on competitors...') to tighten conciseness.

DimensionReasoningScore

Conciseness

The body is mostly lean with section-organized curl examples, with only minor redundancy such as the standalone line 'Gather comprehensive intelligence on competitors...' restating the description.

4 / 5

Actionability

Concrete curl commands are provided, but the JSON payloads in Steps 2, 3, 4, and the Example Usage are malformed — the `-d` string closes early and leaves stray keys like '"url": ...' outside the JSON — so they are not copy-paste executable.

3 / 5

Workflow Clarity

Steps 1-4 are sequenced with a setup section, but there are no validation checkpoints or error-handling feedback loops, and the batch API calls cap workflow clarity at 3 per the rubric.

3 / 5

Progressive Disclosure

Content is organized into clear sections (Setup, Workflow, Example Usage, Tips, Discover More) in a single file with no nested references; structure is good with only minor organization gaps.

4 / 5

Total

14

/

20

Passed

Description

66%Weight 40%Scale 1-5

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 concise and names concrete competitor-intelligence facets, but it omits any explicit 'when to use' trigger guidance, which caps its completeness. Adding a 'Use when...' clause with natural trigger phrases would meaningfully raise the score.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user asks to research competitors, analyze competitive landscape, or compare competitor pricing/products/team/funding.'

Include common synonyms users say, such as 'competitive analysis' or 'competitive intelligence', to improve trigger-term coverage.

Consider third-person action phrasing like 'Researches competitors...' to align with the rubric's preferred voice.

DimensionReasoningScore

Specificity

Names the domain ('Research competitors') and lists several concrete facets — 'products, pricing, team, funding, and strategy' — giving broad but not fully comprehensive coverage of actions.

4 / 5

Completeness

The description gives a clear 'what' (research competitors across five facets) but has no 'Use when...' clause or explicit trigger guidance, which caps completeness at 3 per the rubric.

3 / 5

Trigger Term Quality

Includes natural terms users would say ('competitors', 'products', 'pricing', 'team', 'funding', 'strategy') with good coverage, though common synonyms like 'competitive analysis' or 'competitive intelligence' are missing.

4 / 5

Distinctiveness Conflict Risk

'Research competitors' with named intelligence facets is a fairly distinct niche with minor overlap risk against generic research or market-analysis skills.

4 / 5

Total

15

/

20

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.

Validation — 15 / 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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