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comprehensive-enrichment

Enrich any person or company from any identifier — email, name, LinkedIn URL, domain, company name, Twitter/X handle. Use when asked to enrich, look up, or research a lead, contact, person, or company.

62

Quality

75%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Critical

Do not install without reviewing

Fix and improve this skill with Tessl

tessl review fix ./skills/lead-generation/capabilities/comprehensive-enrichment/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.

A thorough, concrete enrichment playbook whose API coverage and routing are strong, but it pays for it in heavy boilerplate duplication and a malformed/placeholder fraction of its curl examples, with no progressive disclosure into reference files.

Suggestions

State the shared curl boilerplate (base URL + Bearer auth header) once and reference it, instead of repeating the full three-line header block in every endpoint example.

Fix the broken `-d` JSON blocks where the single-quoted payload closes early and fill in the empty `"api":"","path":""` placeholders (Twitter/funding/investors) so every example is executable as written.

Split the per-API endpoint catalog and the full pipeline walkthrough into one-level-deep reference files (e.g. references/person-apis.md, references/company-apis.md) and keep SKILL.md as a concise overview that links to them.

DimensionReasoningScore

Conciseness

The body avoids conceptual fluff but repeats the identical auth/base-URL curl boilerplate across 30+ endpoints and Section 4 re-lists nearly every call already shown in Sections 2–3, so it could be tightened substantially.

2 / 3

Actionability

Most endpoints give concrete copy-paste curl, but several `-d` blocks are malformed shell (JSON closed at `}` with stray continuation lines, e.g. lines 66–70, 92–95, 156–157) and several use empty `"api":"","path":""` placeholders, so not all examples are executable as written.

2 / 3

Workflow Clarity

The detect → person → company → compile → format sequence is clear with verification/consensus and conflict-flagging guidance, but there is no error-recovery feedback loop and async polling is underspecified; per the batch-operation scoring note this caps at 2.

2 / 3

Progressive Disclosure

The body is well-sectioned but entirely monolithic at 543 lines with no bundle files or external references; the per-API catalog and duplicated pipeline example are inline content that would be better split into separate reference files.

2 / 3

Total

8

/

12

Passed

Description

100%

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, uses natural trigger terms, explicitly covers both what and when, and occupies a clear niche distinct from other skills.

DimensionReasoningScore

Specificity

It enumerates concrete actions (enrich a person, enrich a company) across six specific identifier types (email, name, LinkedIn URL, domain, company name, Twitter/X handle), which matches the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

It states both what ('Enrich any person or company from any identifier — …') and when via an explicit 'Use when asked to enrich, look up, or research…' clause, satisfying the top anchor.

3 / 3

Trigger Term Quality

It uses natural user phrasing — 'enrich, look up, or research a lead, contact, person, or company' — plus concrete identifier names users would actually say, giving good trigger coverage.

3 / 3

Distinctiveness Conflict Risk

Person/company enrichment from identifiers is a clear niche with distinct triggers and is unlikely to fire for unrelated skills; voice is third person with no penalty.

3 / 3

Total

12

/

12

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.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (543 lines); consider splitting into references/ and linking

Warning

frontmatter_unknown_keys

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

Warning

Total

14

/

16

Passed

Repository
gooseworks-ai/goose-skills
Reviewed

Table of Contents

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