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wigolo-agent

Autonomous data gathering across sources — plans search queries and URLs from a natural-language prompt, executes in parallel within a time budget, optionally extracts structured fields via JSON Schema, and synthesizes results with full step transparency. Use when the user needs data collected from the web with a specific shape, says "gather data", "find pricing for", "collect information about", "extract from multiple sites", or provides a JSON schema for web data.

Quality

92%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

93%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, highly actionable overview: executable examples for the main use cases, concrete parameter constraints, a clearly sequenced workflow with a debug feedback loop, and clean navigation including negative guidance and cross-links. The single gap is that result validation is left implicit rather than given as an explicit checkpoint.

DimensionReasoningScore

Conciseness

The body is lean: a three-example Quick Reference, a compact parameters table, five one-line workflow steps, and short anti-pattern/when-not-to-use bullets — every section earns its place and nothing explains concepts Claude already knows. It sits at anchor 5 rather than 4 because there is no padded or over-explained content to trim.

5 / 5

Actionability

Quick Reference gives three copy-paste-ready invocations (plain prompt, prompt+schema, prompt+urls) covering the common cases, and the Parameters table supplies concrete defaults, ranges ('max 100', 'max 600000'), and option values ('numbered' / 'json' / 'anthropic_tags'). This matches anchor 5: fully executable examples covering the common cases with no gaps.

5 / 5

Workflow Clarity

The 5-step sequence (Plans → Executes → Extracts → Synthesizes → Reports) is clearly ordered, and there is an explicit error-recovery loop — "Use steps to debug weak results — if extraction is poor, check which pages were fetched" — plus a synthesis fallback ladder. It stops short of anchor 5 because result validation checkpoints are implicit rather than explicit (e.g., no instruction to verify extracted fields against the schema before returning).

4 / 5

Progressive Disclosure

The skill has no bundle files (no references/, scripts/, or assets/), and the ~78-line body is appropriately self-contained with well-organized sections (Quick Reference, Parameters, How It Works, Output Transparency, Anti-Patterns, When NOT to use, See Also) and clearly signaled one-level cross-links to sibling skills. Nothing inlined belongs in a separate file, so it fits anchor 5's 'content appropriately split; easy navigation'.

5 / 5

Total

19

/

20

Passed

Description

88%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.

A strong description in third-person voice that clearly states a multi-step capability pipeline and pairs it with an explicit 'Use when...' clause containing concrete quoted trigger phrases. The only room for improvement is broader synonym coverage and explicit disambiguation against the sibling research/extract skills.

Suggestions

Add common synonyms users would say, such as 'scrape', 'web research', or 'look up', to the trigger clause to raise keyword coverage toward comprehensive.

Add a brief negative disambiguation (e.g., 'Not for reports or analysis — use research for that') to reduce conflict risk with the sibling wigolo-research skill.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions covering the full pipeline — "plans search queries and URLs from a natural-language prompt", "executes in parallel within a time budget", "extracts structured fields via JSON Schema", and "synthesizes results with full step transparency" — which comprehensively covers what the skill does. It exceeds anchor 4 ('minor gaps in coverage') because each pipeline stage is named with its mechanism, not just hinted at.

5 / 5

Completeness

Both 'what' and 'when' are explicitly answered: the action pipeline states what it does, and "Use when the user needs data collected from the web with a specific shape, says 'gather data'..." gives concrete trigger phrases. This matches the anchor-5 example structure exactly (capabilities sentence + explicit 'Use when' with concrete triggers).

5 / 5

Trigger Term Quality

Natural quoted trigger phrases are strong — "gather data", "find pricing for", "collect information about", "extract from multiple sites", "provides a JSON schema for web data" — giving good keyword coverage. It falls short of anchor 5 because common synonyms like "scrape/scraping", "web research", or "look up" are missing, which keeps it at 'a few natural terms missing'.

4 / 5

Distinctiveness Conflict Risk

The niche is mostly distinct — autonomous multi-source gathering with schema-based extraction is specific, and triggers like "extract from multiple sites" steer correctly. It is not anchor 5 because broad triggers ("collect information about") overlap with the sibling wigolo-research skill and the description includes no negative disambiguation (e.g., 'not for reports'), leaving minor overlap risk with closely related skills.

4 / 5

Total

18

/

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

relative_links

Relative link issues: 2 suspicious

Warning

Total

15

/

16

Passed

Repository

KnockOutEZ/wigolo

Path

skills/wigolo-agent/SKILL.md

Reviewed

Table of Contents

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