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testland/testrail-case-management

Author and manage test cases in TestRail via REST API v2 - create cases, organise into suites + sections, update steps + expected results, bulk import from CSV/JSON, set automation status, link to references (Jira / requirements). Covers the Steps / Text / Exploratory templates, custom-field discovery (`get_case_fields`), and pagination on `get_cases`. Use for pre-execution case authoring and repository management. Do NOT use for submitting test-run results (pass/fail, status updates): posting results via add_results_for_cases is a separate post-execution concern.

79

Quality

99%

Does it follow best practices?

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SecuritybySnyk

Passed

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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.

The body is executable, well-sequenced with validation checkpoints for batch operations, and cleanly splits detail into a real one-level reference file. It hits the score-3 anchors on all four dimensions with only trivial redundancy in external-doc citation.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence — each section delivers executable code rather than explaining what TestRail or REST is, though the 'Cloudflare-protected, support.testrail.com' caveat is repeated a few times.

3 / 3

Actionability

Provides fully executable Python (the api() helper, create_case, update_case, pagination loop, and a CSV bulk-import script with real endpoints), matching the copy-paste-ready score-3 anchor.

3 / 3

Workflow Clarity

The bulk-import flow is sequenced with an explicit validation checkpoint ('assert len(created) + len(skipped) equals the row count') and a fix-and-re-run feedback loop, satisfying the batch-operations feedback-loop requirement.

3 / 3

Progressive Disclosure

Overview in SKILL.md points to a single one-level-deep reference (references/testrail-api-reference.md, verified to exist) with content appropriately split out (field/type enums, hierarchy), matching the clear-signaled-references anchor.

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.

The description is specific, trigger-rich, complete (what + when), and clearly distinct from sibling skills via an explicit negative trigger. It is a strong example of the score-3 anchors across all four dimensions.

DimensionReasoningScore

Specificity

Lists multiple concrete actions such as 'create cases, organise into suites + sections, update steps + expected results, bulk import from CSV/JSON, set automation status, link to references', matching the score-3 anchor for several specific concrete actions.

3 / 3

Completeness

It answers both what (author/manage test cases and the listed capabilities) and when via the explicit 'Use for pre-execution case authoring and repository management' trigger, plus a negative trigger.

3 / 3

Trigger Term Quality

Natural terms a user would say are well covered ('test cases', 'TestRail', 'create cases', 'bulk import from CSV/JSON', 'automation status', 'case authoring'), going beyond jargon to common variations.

3 / 3

Distinctiveness Conflict Risk

It carves a clear niche and adds an explicit 'Do NOT use for submitting test-run results' disambiguation against the sibling testrail-integration skill, making a wrong-skill trigger unlikely.

3 / 3

Total

12

/

12

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

15

/

16

Passed

Reviewed

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