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reporting

Generate, consume, and enrich Ginkgo reports — console verbosity (-v/-vv/--trace/--no-color/--succinct), machine-readable reports (--json-report/--junit-report with --output-dir/--keep-separate-reports), programmatic reporting nodes (ReportAfterEach, ReportAfterSuite, CurrentSpecReport), AddReportEntry with ReportEntryVisibility, and profiling (--cover/--race/--cpuprofile/--memprofile). Use when you need a report file, custom suite-level reporting, attaching data to a spec, controlling console output, or profiling a suite.

72

Quality

87%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

82%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, actionable reference with concrete commands, code examples, and well-flagged pitfalls, organized for easy navigation. The main improvement area is tighter conciseness around the recap section.

Suggestions

Trim or shorten the 'Recap (owned by ginkgo:writing-specs)' paragraph since that material lives in another skill, relying on the cross-reference instead.

Consider consolidating the flag tables and prose into a single quick-reference pattern so the most-used commands are immediately copy-pasteable at the top.

DimensionReasoningScore

Conciseness

Mostly lean reference material packed with flags and executable snippets that assumes Ginkgo/Go knowledge, with only minor trims possible (e.g., the recap paragraph restates material owned by another skill).

4 / 5

Actionability

Provides copy-paste-ready bash commands (e.g. 'ginkgo -r --json-report=report.json --output-dir=./.reports') and complete Go examples for AfterEach, ReportAfterSuite, and AddReportEntry covering the common cases.

5 / 5

Workflow Clarity

Content is organized into clear sections with explicit gotchas (parallel ReportAfterEach file interleaving, focused specs breaking profiling), but as reference material it lacks an explicit sequenced workflow with validation checkpoints; no destructive/batch cap applies.

4 / 5

Progressive Disclosure

Well-structured with clear section headers, a 'See also' block, and one-level cross-skill references (ginkgo:debugging-failures, ginkgo:ci) plus external doc links; no bundle files exist to verify, and the body is appropriately self-contained.

4 / 5

Total

17

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20

Passed

Description

92%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 specific, complete, and well-triggered, covering console output, machine-readable reports, programmatic nodes, AddReportEntry, and profiling with an explicit 'Use when' clause. Minor room to soften jargon in the trigger phrasing.

DimensionReasoningScore

Specificity

Lists multiple concrete actions across the full domain — 'Generate, consume, and enrich Ginkgo reports', console verbosity flags, machine-readable reports, programmatic reporting nodes, AddReportEntry, and profiling — giving comprehensive coverage rather than a single generic action.

5 / 5

Completeness

Explicitly states both what it does (generate/consume/enrich reports with enumerated feature areas) and when to use it via a concrete 'Use when...' clause with multiple trigger phrases.

5 / 5

Trigger Term Quality

The 'Use when you need a report file, custom suite-level reporting, attaching data to a spec, controlling console output, or profiling a suite' clause gives good natural trigger coverage, though the phrasing is somewhat jargon-heavy and a few plain synonyms are absent.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (Ginkgo reporting and profiling) with distinct, domain-specific triggers that are unlikely to fire for unrelated skills.

5 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
onsi/ginkgo
Reviewed

Table of Contents

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