plugin-architecture-patterns

Plugin architecture, registration, and trait patterns

6.66x

Quality

61%

Does it follow best practices?

Impact

100%

6.66x

Average score across 1 eval scenario

Securityby

Passed

No findings from the security scan

Fix and improve this skill with Tessl

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

Quality

Content

76%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, well-organized reference with concrete code and a useful priority/registration model, rewarded for conciseness and actionability. Its main weakness is the lack of an explicit end-to-end workflow with validation checkpoints for adding a plugin.

Suggestions

Add a short numbered 'Add a new plugin' workflow (choose type, implement trait, register, feature-gate, verify) with an explicit validation/verification checkpoint.

Tighten code examples by replacing '/* ... */' placeholders with minimal but complete bodies so snippets are copy-paste ready.

Define or link the supporting types referenced in examples (ExtractInput, ExtractionConfig, MyExtractor::new) so the code is fully executable.

Dimension	Reasoning	Score
Conciseness	The body is lean and reference-dense — tables for plugin types and priority ranges, compact Rust snippets, and a terse Critical Rules list — with no padding or explanation of concepts Claude already knows.	5 / 5
Actionability	Concrete Rust examples cover implementation, registration, feature-gating, and the PostProcessor pattern, but placeholders like '/* ... */' and undefined helpers (MyExtractor::new(), ExtractInput) keep it from being fully copy-paste ready.	4 / 5
Workflow Clarity	An implicit sequence exists (pick type, implement trait, register, feature-gate, follow rules) and the Critical Rules act as a partial checklist, but there is no explicitly sequenced workflow with validation checkpoints.	3 / 5
Progressive Disclosure	A single self-contained file with well-organized section headers and no external references; good structure, though it slightly exceeds the simple-skill line and does not exercise reference splitting.	4 / 5
	Total	16 / 20 Passed

Description

46%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 concise and names a distinct niche, but it is purely a 'what' statement with no 'when to use' guidance and leans on technical jargon ('trait patterns') rather than natural trigger phrases. Adding a 'Use when...' clause with user-facing terms would substantially raise completeness and trigger_term_quality.

Suggestions

Add an explicit trigger clause, e.g. 'Use when adding, registering, or overriding plugins in the extraction pipeline.'

Replace jargon-heavy phrasing with natural terms a developer would say, such as 'add a plugin', 'register an extractor', or 'override a built-in extractor'.

Expand the action list beyond 'registration' and 'trait patterns' to concrete capabilities (e.g., implement, register, feature-gate, prioritize extractors).

Dimension	Reasoning	Score
Specificity	Names the domain plus concrete concepts ('registration, and trait patterns') but stops at 1-2 actions without comprehensive coverage, matching the anchor that lists domain and 1-2 concrete actions.	3 / 5
Completeness	A clear 'what' is present ('Plugin architecture, registration, and trait patterns') but there is no 'Use when...' clause or equivalent trigger guidance, which caps completeness at 3.	3 / 5
Trigger Term Quality	'trait patterns' and 'registration' are technical jargon; only 'plugin' is a natural keyword a user might say, and common synonyms or variations are missing.	2 / 5
Distinctiveness Conflict Risk	Targets a clear niche (plugin architecture in a Rust codebase) with only minor overlap risk against generic architecture skills, though triggers are not fully developed enough for a 5.	4 / 5
	Total	12 / 20 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: 0a60357

Reviewed: about 12 hours ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.