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golikovichev/secure-log2test

Turn a Kibana JSON log export into a runnable pytest suite using the secure-log2test CLI. Use when the user has a Kibana or Elasticsearch JSON export of API traffic and wants a regression suite from production logs, when extracting test cases from staging traffic, when scrubbing auth headers or secret-looking body fields before logs leave the laptop, when bridging Kibana-captured requests into a pytest-based suite for CI, when the user mentions Kibana logs, Elasticsearch JSON export, log-to-test conversion, log replay tests, auth header redaction, PII in logs, or regression tests from production traffic.

92

1.00x
Quality

100%

Does it follow best practices?

Impact

93%

1.00x

Average score across 2 eval scenarios

SecuritybySnyk

Passed

No known issues

Overview
Quality
Evals
Security
Files

Quality

Content

100%

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

This is a high-quality skill that efficiently teaches Claude how to use the secure-log2test CLI. It excels in actionability with concrete commands and a complete input/output example, maintains excellent conciseness by assuming Claude's competence, and provides a well-structured workflow with validation checkpoints for credential leakage. The progressive disclosure to REFERENCE.md is well-signaled, though the absence of the actual bundle file means we can't verify the referenced content exists.

DimensionReasoningScore

Conciseness

The content is lean and efficient. It doesn't explain what Kibana is, what pytest is, or how JSON works. Every section earns its place—quick start, example, common errors, security note, and references are all necessary and tightly written.

3 / 3

Actionability

Provides fully executable commands (pip install, CLI invocation, grep validation, pytest run), a concrete input/output example showing exact JSON-to-Python transformation, and specific environment variable setup. Copy-paste ready throughout.

3 / 3

Workflow Clarity

The 7-step quick start is clearly sequenced with an explicit validation checkpoint (step 4: grep for leaked credentials, verify test count). The workflow includes a security review step and clear guidance on when to re-run. The feedback loop of 'inspect before committing' addresses the destructive/risky nature of potentially leaking secrets.

3 / 3

Progressive Disclosure

Clean overview in SKILL.md with well-signaled one-level-deep references to REFERENCE.md for CLI flags, redaction rules, validation, error tree, and CI templates. Content is appropriately split—the main file covers quick start and essentials while deferring detailed reference material. However, no bundle file was provided to verify REFERENCE.md exists, but the references are clearly signaled and one level deep.

3 / 3

Total

12

/

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.

This is an excellent skill description that clearly defines a specific niche (Kibana log-to-pytest conversion), lists concrete actions, and provides comprehensive trigger terms. It uses proper third-person voice throughout and includes an explicit 'Use when...' clause with both scenario-based and keyword-based triggers. The description is thorough without being padded with fluff.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: turning Kibana JSON log exports into pytest suites, using the secure-log2test CLI, scrubbing auth headers, scrubbing secret-looking body fields, and bridging Kibana-captured requests into pytest-based suites for CI.

3 / 3

Completeness

Clearly answers both 'what' (turn Kibana JSON log exports into runnable pytest suites, scrub auth headers/secrets) and 'when' with an explicit 'Use when...' clause listing multiple specific trigger scenarios and keywords.

3 / 3

Trigger Term Quality

Excellent coverage of natural terms users would say: 'Kibana logs', 'Elasticsearch JSON export', 'log-to-test conversion', 'log replay tests', 'auth header redaction', 'PII in logs', 'regression tests from production traffic', 'pytest suite'. These are terms users would naturally use when seeking this functionality.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive niche combining Kibana/Elasticsearch JSON exports, the specific secure-log2test CLI tool, auth scrubbing, and pytest generation. Very unlikely to conflict with other skills due to the specific toolchain and workflow described.

3 / 3

Total

12

/

12

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.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Reviewed

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