CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

tavily

Tavily web search, content extraction, and research tools.

58

Quality

73%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./extensions/tavily/skills/tavily/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

75%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 an efficient, well-structured reference with concrete parameter tables and a clear tool-selection escalation workflow. It is held at 4 across dimensions by minor trimmable prose, the lack of executable call examples, and the absence of explicit validation checkpoints.

Suggestions

Add one or two concrete tool-invocation examples (e.g. a sample tavily_search call with arguments) to push actionability toward fully executable.

Trim framing sentences like 'Use when you need fine-grained control over search behavior' since the 'When to use which tool' table already conveys this.

Add an explicit verify/retry checkpoint in the search+extract combine workflow (e.g. check extract returned content before proceeding).

DimensionReasoningScore

Conciseness

Dense parameter tables and terse tips assume Claude's competence without explaining what web search or extraction are, sitting at 'efficient with minor over-explanation that could be trimmed'; not 5 because a few framing sentences are non-essential.

4 / 5

Actionability

Concrete parameter tables give types, defaults, ranges, and depth options so Claude knows exactly what to pass, and as an instruction-only skill the absence of executable code is not penalized; not 5 because no actual tool-invocation examples are shown for common cases.

4 / 5

Workflow Clarity

A clear escalation sequence (web_search -> tavily_search -> tavily_extract) plus a fallback loop ('try basic first, fall back to advanced if content is missing') sequence the multi-tool choice well; not a destructive/batch operation so the validation cap does not apply, but formal validation checkpoints are absent, keeping it at 4.

4 / 5

Progressive Disclosure

Well-organized sections (## web_search, ## tavily_search, ## tavily_extract, ## Choosing the right workflow) with easy navigation and no external bundle files needed, content appropriately inline for a three-tool reference; not 5 because the ~85-line body could arguably split detailed parameter refs into separate files, though inline placement is reasonable.

4 / 5

Total

16

/

20

Passed

Description

61%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 concisely names the Tavily domain and its core capabilities with natural trigger terms, but it lacks an explicit 'Use when...' trigger clause, capping its completeness. Adding concrete usage triggers would lift the weakest dimension.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user needs web search, URL content extraction, or AI-assisted research.'

Include a natural synonym such as 'scrape' or 'URL extraction' to broaden trigger-term coverage.

Specify one or two more granular actions (e.g. 'AI answer summaries', 'domain-filtered search') to raise specificity.

DimensionReasoningScore

Specificity

Names the domain ('Tavily') and 1-2 concrete actions ('web search', 'content extraction') but stops at coarse categories rather than granular actions, matching the 'names domain and 1-2 concrete actions' anchor; not a 4 because the actions are not comprehensive or finely specified.

3 / 5

Completeness

It has a clear 'what' (web search, content extraction, research tools) but no 'Use when...' clause or equivalent trigger guidance, which the rubric explicitly caps at 3; not a 4 because the 'when' is entirely missing rather than weakly implied.

3 / 5

Trigger Term Quality

'web search', 'content extraction', and 'research' are natural terms users would actually say, giving good keyword coverage; not a 5 because common synonyms like 'scrape', 'URL extraction', or 'API' are absent.

4 / 5

Distinctiveness Conflict Risk

The 'Tavily' brand name is a distinct trigger giving it a clear niche with minimal conflict risk, but 'web search' and 'research tools' are broad terms with minor overlap risk against other search skills; not a 5 because the generic descriptors leave some collision surface.

4 / 5

Total

14

/

20

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.

Validation — 14 / 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

qsimeon/openclaw-engaging

Path

extensions/tavily/skills/tavily/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.