plugin-architecture-patterns

Plugin architecture, registration, and trait patterns

Quality

61%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./.ai-rulez/skills/plugin-architecture-patterns/SKILL.md

Quality

Content

87%

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 excellent, lean reference: executable Rust, concrete priority semantics, and a tight critical-rules checklist. Its only gap is the absence of explicit validation checkpoints in the registration/initialization workflow.

Dimension	Reasoning	Score
Conciseness	The body is lean and dense — tables, code, and a critical-rules checklist with no padding or explanation of basic concepts — so every token earns its place per the 'lean and efficient' anchor.	3 / 3
Actionability	It provides copy-paste-ready Rust for implementing, registering, and feature-gating plugins plus concrete priority ranges, matching the 'fully executable code/commands' anchor.	3 / 3
Workflow Clarity	Implementation, registration, feature-gating, and post-processor stages are sequenced with a critical-rules checklist, but there are no explicit validation/verification checkpoints for the registration/initialization flow, which (per the batch/system-level guideline) caps workflow clarity at 2.	2 / 3
Progressive Disclosure	This is a short, single-purpose skill with well-organized headed sections and no external references needed (none exist), so per the simple-skills note it scores 3 on progressive disclosure.	3 / 3
	Total	11 / 12 Passed

Description

35%

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 concise and domain-specific but reads as a topic label rather than a capability statement: it lacks concrete verbs and any explicit 'Use when...' trigger guidance. Adding user-natural trigger terms and a when-to-use clause would move it from adequate to strong.

Suggestions

Reword as concrete actions, e.g. 'Implement, register, and override plugin extractors, OCR backends, processors, and validators.'

Add a 'Use when...' clause with natural trigger terms such as 'adding a new extractor', 'registering a plugin', or 'overriding a built-in'.

Replace jargon ('trait patterns') with user-facing phrasing to improve trigger-term quality.

Dimension	Reasoning	Score
Specificity	Names a clear domain ('Plugin architecture, registration, and trait patterns') but lists no concrete user-facing actions like 'create' or 'register', matching the 'names domain and some actions' anchor rather than the vague (1) or multi-action (3) levels.	2 / 3
Completeness	It states what the skill covers but has no 'Use when...' or equivalent explicit trigger guidance, so per the guidelines completeness is capped at 2 with 'when' only implied.	2 / 3
Trigger Term Quality	The terms are technical jargon ('plugin architecture', 'trait patterns') rather than natural phrases a user would say, matching the 'no natural keywords; technical jargon' anchor.	1 / 3
Distinctiveness Conflict Risk	The domain is a fairly distinct niche (plugin registration/traits) but the lack of explicit triggers means it could overlap with related code-architecture skills, sitting between the 'somewhat specific' (2) and 'clear niche' (3) anchors.	2 / 3
	Total	7 / 12 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

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

	Total	15 / 16 Passed

Repository: xberg-io/xberg
Path: .ai-rulez/skills/plugin-architecture-patterns/SKILL.md
Commit: db74878

Reviewed: 1 day ago

Table of Contents

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