new-boost-module

Create new Harbor Boost modules — the Python plugins that run inside Harbor's LLM proxy. Use this skill whenever the user wants to build a Boost module, write a custom module for Harbor Boost, add a new feature to the Boost proxy pipeline, or create any kind of middleware that transforms, augments, or intercepts LLM chat completions in Harbor. Also triggers when the user mentions "boost module", "boost plugin", "custom module for boost", or wants to add prompt engineering, reasoning chains, or output transforms to Harbor's proxy layer.

Quality

91%

Does it follow best practices?

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Securityby

Passed

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Quality

Content

82%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 content is a strong, actionable guide to authoring Harbor Boost modules with executable code, a sensible pre-code workflow, and a closing checklist. It is lean and domain-focused, with only minor opportunities to tighten prose, add an explicit run/test verification step, or split the API reference into a bundled file.

Suggestions

Add an explicit 'test the module' verification step to the Checklist (e.g., invoke the model prefix and confirm expected output) to close the validation gap in workflow_clarity.

Trim editorial framing such as 'saves you from reinventing patterns that already exist' to push conciseness toward the lean top anchor.

Consider moving the full chat/llm primitive API reference into a references/ file and keeping only key examples inline, improving progressive_disclosure now that the skill exceeds 50 lines.

Dimension	Reasoning	Score
Conciseness	The body is efficient and focused on Harbor-specific primitives Claude would not already know (chat/llm APIs, ID_PREFIX activation), with tight code blocks; only minor framing prose like 'saves you from reinventing patterns that already exist' could be trimmed, so it sits just below the lean top anchor.	4 / 5
Actionability	Provides fully executable, copy-paste-ready code throughout — real async signatures for llm.emit_message/chat_completion/stream_final_completion, complete apply() functions in Common Patterns, and a complete DOCS template — covering the common module-authoring cases.	5 / 5
Workflow Clarity	A clear sequence exists ('Before You Write Code' steps → Module Structure → Common Patterns → final Checklist serving as validation), but there is no explicit test/run verification step or feedback loop, leaving minor validation gaps relative to the top anchor.	4 / 5
Progressive Disclosure	No bundle files are provided, but the single SKILL.md is well-organized with clear section headers and clearly signals external repo paths (docs/5.2.1..., services/boost/src/modules/); the inlined chat/llm API reference is somewhat long for a single file, keeping it just below the top anchor.	4 / 5
	Total	17 / 20 Passed

Description

100%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 excellent: it states concrete capabilities, provides explicit quoted trigger terms, answers both 'what' and 'when' unambiguously, and carves out a distinct niche. It uses appropriate third-person imperative voice with no first/second person.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'build a Boost module, write a custom module for Harbor Boost, add a new feature to the Boost proxy pipeline, or create any kind of middleware that transforms, augments, or intercepts LLM chat completions' — giving comprehensive coverage of the skill's capabilities.	5 / 5
Completeness	Clearly answers 'what' ('Create new Harbor Boost modules — the Python plugins that run inside Harbor's LLM proxy') and 'when' ('Use this skill whenever the user wants to build... Also triggers when the user mentions...') with concrete trigger phrases, matching the top anchor exactly.	5 / 5
Trigger Term Quality	Explicitly quotes natural trigger phrases users would say — 'boost module', 'boost plugin', 'custom module for boost' — plus related terms like 'prompt engineering, reasoning chains, or output transforms', covering synonyms comprehensively.	5 / 5
Distinctiveness Conflict Risk	Occupies a clear niche (Harbor Boost modules) with domain-specific triggers ('boost module', 'Harbor Boost') unlikely to fire for unrelated skills, giving minimal conflict risk.	5 / 5
	Total	20 / 20 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: av/harbor
Path: .agents/skills/new-boost-module/SKILL.md
Commit: 67cbe66

Reviewed: 2 days ago

Table of Contents

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