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web-search-exa

Neural web search - find similar content, extract pages, and run deep research

50

Quality

55%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/research-tools/capabilities/web-search-exa/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

50%

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

The content is well-structured and mostly actionable, but malformed curl examples, duplicated parameter blocks, and a lack of validation steps for the async research flow hold it back. Moving the verbose endpoint reference into a bundled file would improve progressive disclosure.

Suggestions

Fix the broken JSON in the /search, /findSimilar, and /contents curl examples so the body fields are inside a single valid JSON object passed to -d.

Extract the repeated parameter lists (dates, domains, includeText/excludeText) into a shared reference file and link to it from each endpoint to reduce duplication.

Add an explicit poll-until-done workflow with a validation checkpoint (check status, retry if not finished) for the create-task / get-task research flow.

DimensionReasoningScore

Conciseness

The body is mostly efficient API documentation, but the ~10-parameter date/filter blocks are duplicated verbatim across /search and /findSimilar, padding tokens with repeated content.

2 / 3

Actionability

Curl commands are provided for every endpoint, but the /search, /findSimilar, and /contents examples close the JSON object early and leave fields like "query" dangling outside it, so the code is not copy-paste executable.

2 / 3

Workflow Clarity

The async create-then-poll research flow is implied, but there are no explicit validation checkpoints or feedback loops for polling a task to completion.

2 / 3

Progressive Disclosure

Sections are organized by endpoint, but roughly 200 lines of inline API reference belong in a separate bundled file and there are no one-level-deep references to navigate to.

2 / 3

Total

8

/

12

Passed

Description

60%

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 and names concrete capabilities, but it lacks explicit "Use when..." trigger guidance and leans on the jargon term "neural". Adding natural trigger phrases would raise both completeness and trigger-term quality.

Suggestions

Append an explicit trigger clause, e.g. "Use when searching the web for similar content, extracting page contents, or running deep research on a topic."

Replace or supplement "Neural web search" with plain user-facing terms like "search the web" or "find related pages" to improve trigger-term quality.

Add a few natural keyword variations (e.g., "articles", "URLs", "sources") to broaden distinctiveness.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "find similar content, extract pages, and run deep research" — matching the anchor for listing several specific concrete actions.

3 / 3

Completeness

Clearly states what the skill does, but there is no "Use when..." clause or equivalent explicit trigger guidance, which caps completeness at 2 per the rubric guidelines.

2 / 3

Trigger Term Quality

Contains relevant natural terms like "web search" and "deep research", but "neural" is jargon and common user phrasings (e.g., "search the web", "find articles") are missing.

2 / 3

Distinctiveness Conflict Risk

The Exa/neural-search niche is somewhat specific, but "web search" and "deep research" could still overlap with other search or research-oriented skills.

2 / 3

Total

9

/

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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