Name: pypict-skill
Rating: 25.6 (1 reviews)
Author: administrakt0r

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pypict-skill

Pairwise test generation

Quality

16%

Does it follow best practices?

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Securityby

Passed

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Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/pypict-skill/SKILL.md

The canonical home for this skill is pypict-skill in administrakt0r/AI-Agents-Safe-Coding-Skills

Quality

Content

18%Scale 1-5

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

This skill is essentially a placeholder with no actionable content. It contains only boilerplate section headers and vague descriptions that repeat the same phrase ('pairwise test generation') without providing any concrete instructions, code examples, tool references, or workflows. It fails to teach Claude anything about how to actually perform the task.

Suggestions

Add concrete code examples showing how to use pypict for pairwise test generation, including model file syntax, parameter definitions, and constraint specification.

Provide a clear workflow: define parameters → write model file → run pypict → interpret output, with executable commands at each step.

Include at least one complete input/output example showing a model definition and the resulting pairwise test cases.

Replace the external repository link with actual inline content or bundle files that contain the real instructions.

Dimension	Reasoning	Score
Conciseness	The content is short but wastes tokens on boilerplate phrases like 'Use this skill when you need to work with pairwise test generation' and 'This skill provides guidance and patterns for pairwise test generation' which say nothing substantive. It's not verbose in volume but every line is filler.	3 / 5
Actionability	There is zero concrete guidance—no code, no commands, no examples, no parameters, no tool usage. The entire body is vague meta-description that tells Claude nothing about how to actually perform pairwise test generation.	1 / 5
Workflow Clarity	No steps, no sequence, no validation, no workflow of any kind. The skill provides no process for Claude to follow.	1 / 5
Progressive Disclosure	There is a link to an external source repository, but no bundle files, no inline content worth disclosing, and the reference points outside the skill ecosystem entirely. The structure exists minimally but provides no useful navigation or content organization.	2 / 5
	Total	7 / 20 Passed

Description

14%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.

This description is far too terse to be functional. It names a technique ('pairwise test generation') but provides no concrete actions, no trigger guidance, and no 'when to use' clause. It would be nearly impossible for Claude to reliably select this skill from a pool of available skills.

Suggestions

Add concrete actions describing what the skill does, e.g., 'Generates pairwise (all-pairs) combinatorial test cases from input parameters and their values, producing test matrices that cover all two-way interactions.'

Add an explicit 'Use when...' clause with natural trigger phrases, e.g., 'Use when the user asks for combinatorial testing, pairwise test cases, all-pairs coverage, test parameter combinations, or test matrix generation.'

Include synonyms and related terms to improve trigger term coverage, such as 'combinatorial testing', 'all-pairs', 'orthogonal array testing', 'parameter coverage', and 'test case reduction'.

Dimension	Reasoning	Score
Specificity	The description is extremely vague. 'Pairwise test generation' names a technique but provides no concrete actions—no verbs describing what the skill does (e.g., generates test cases, creates combinatorial test matrices, outputs test plans).	1 / 5
Completeness	There is no clear 'what' (no actions described) and no 'when' clause at all. The description fails to answer either question explicitly.	1 / 5
Trigger Term Quality	'Pairwise' and 'test generation' are somewhat relevant keywords, but they are technical jargon. Missing natural user phrases like 'combinatorial testing', 'all-pairs', 'test case combinations', 'parameter coverage', or 'test matrix'.	2 / 5
Distinctiveness Conflict Risk	'Pairwise test generation' is a fairly specific testing technique, which gives it some distinctiveness. However, without further detail it could overlap with general test generation or combinatorial testing skills.	3 / 5
	Total	7 / 20 Passed

Validation

90%

Warnings & errors only

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

Validation — 10 / 11 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	10 / 11 Passed

Repository: administrakt0r/AI-Agents-Safe-Coding-Skills
Path: plugins/AI-Agents-Safe-Coding-Skills/skills/pypict-skill/SKILL.md
Commit: 57c135b

Reviewed: 2 days ago

Table of Contents

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