genai-disclaimer

Standard disclaimer and attribution templates for AI-generated or AI-assisted data analysis outputs

Quality

69%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./.claude/skills/skills/genai-disclaimer/SKILL.md

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 highly actionable, well-structured, and concise, delivering ready-to-use templates and concrete selection guidance. The only real gap is mild redundancy between the two mapping tables.

Dimension	Reasoning	Score
Conciseness	The body is lean and assumes Claude's competence, avoiding basic concept explanations, though the 'Choosing the Right Level' and 'Integration with Commands' tables overlap somewhat and could be tightened.	4 / 5
Actionability	It provides three copy-paste-ready disclaimer templates (Short, Medium, Full) plus concrete command-to-level and component-to-attribution mapping tables that fully cover the common cases.	5 / 5
Workflow Clarity	Clear decision criteria in 'When to Apply' and explicit selection tables guide the apply-disclaimer workflow; the operation is non-destructive, so no validation feedback loop is required.	4 / 5
Progressive Disclosure	Self-contained with no bundle files, well-organized into clear headed sections and tables; minor organization gaps from the two overlapping mapping tables keep it just below 5.	4 / 5
	Total	17 / 20 Passed

Description

56%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 clearly conveys the skill's purpose and domain with solid natural keywords, but it lacks concrete action verbs and an explicit 'Use when' trigger clause. Adding trigger guidance and active verbs would raise the weaker dimensions.

Suggestions

Reword with concrete actions, e.g. 'Generate and append standard disclaimer and attribution notices to AI-generated or AI-assisted data analysis outputs.'

Add an explicit trigger clause such as 'Use when producing AI-generated or AI-assisted analysis outputs that require disclosure or attribution.'

Include common synonyms like 'disclosure' and 'AI-generated content' to broaden trigger term coverage.

Dimension	Reasoning	Score
Specificity	Names the domain ('Standard disclaimer and attribution templates for AI-generated or AI-assisted data analysis outputs') but provides no concrete action verbs like 'Generate' or 'Apply' — it is a noun phrase describing the deliverable rather than actions.	2 / 5
Completeness	It clearly states what the skill provides but includes no 'Use when...' clause or equivalent trigger guidance, which per the rubric caps completeness at 3.	3 / 5
Trigger Term Quality	Contains several natural keywords a user would say ('disclaimer', 'attribution', 'AI-generated', 'AI-assisted', 'data analysis') with good coverage, though it misses common variants like 'disclosure'.	4 / 5
Distinctiveness Conflict Risk	The AI-disclosure niche is distinct with minimal conflict risk, but the absence of explicit triggers and the broad 'data analysis outputs' phrasing leaves minor overlap with general data-analysis skills.	4 / 5
	Total	13 / 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: dathere/qsv
Path: .claude/skills/skills/genai-disclaimer/SKILL.md
Commit: a46782a

Reviewed: about 2 hours ago

Table of Contents

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