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humaniser

Remove AI-writing tells and rewrite prose to sound natural and human. Triggers: humanise, humanize, de-AI, deAI, sound natural, less robotic, remove AI tells, AI writing, chatbot tone, Wikipedia AI writing signs, voice match, voice calibration. Uses AskUserQuestion for intake; Read/Write for files; WebSearch/WebFetch when the user wants terminology or usage research; Bash when applying edits in a repo. Outputs: interactive Q&A then rewritten text (and optional brief edit log). Do NOT use for: inventing facts, changing the author's stance, weakening safety or compliance language without explicit instruction, or skipping intake when the user's goals and preservation rules are unclear.

97

1.00x
Quality

96%

Does it follow best practices?

Impact

100%

1.00x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Discovery

100%

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 is an excellent skill description that covers all key dimensions thoroughly. It provides specific actions, comprehensive natural trigger terms, clear 'what' and 'when' guidance, and a well-defined niche with explicit boundaries. The inclusion of tool usage context and a 'Do NOT use for' section adds valuable disambiguation.

DimensionReasoningScore

Specificity

Lists multiple concrete actions: remove AI-writing tells, rewrite prose, interactive Q&A intake, voice calibration, applying edits in a repo, optional edit log. Also specifies tools used (AskUserQuestion, Read/Write, WebSearch/WebFetch, Bash) and explicit exclusions.

3 / 3

Completeness

Clearly answers both 'what' (remove AI-writing tells, rewrite prose to sound natural/human) and 'when' (explicit trigger terms listed, plus a 'Do NOT use for' section that further clarifies boundaries). The triggers list serves as an explicit 'Use when' clause.

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger terms users would say: 'humanise', 'humanize', 'de-AI', 'sound natural', 'less robotic', 'remove AI tells', 'AI writing', 'chatbot tone', 'voice match'. These are highly natural phrases a user would use when requesting this kind of editing.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive niche — humanizing AI-generated text is a specific task unlikely to conflict with general writing, editing, or coding skills. The trigger terms are unique to this domain ('de-AI', 'remove AI tells', 'chatbot tone'), and the 'Do NOT use for' section further reduces conflict risk.

3 / 3

Total

12

/

12

Passed

Implementation

92%

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

This is a high-quality skill that is concise, actionable, and well-structured. It provides a clear four-phase workflow with an integrated before/after example that demonstrates the transformation convincingly. The main weakness is that the referenced supporting files (interactive-intake.md, ai-tells-and-patterns.md) are not available in the bundle, making it impossible to verify the progressive disclosure chain works end-to-end.

DimensionReasoningScore

Conciseness

The skill is lean and efficient throughout. It assumes Claude's competence, avoids explaining what AI tells are conceptually, and jumps straight into actionable rules and process. Every section earns its place — the example is illustrative without being padded, and anti-patterns are terse but valuable.

3 / 3

Actionability

The skill provides concrete, specific guidance at every step: a clear phased process, specific categories to target (significance inflation, em dash pile-ups, chatbot artifacts), a full before/after example showing the transformation, and explicit anti-patterns. The references to hunt lists and intake rules delegate specifics appropriately.

3 / 3

Workflow Clarity

The four-phase process (Intake → First rewrite → Audit pass → Deliver) is clearly sequenced with explicit validation: the audit pass serves as a verification checkpoint ('still sounds like a brochure?'), and the intake phase gates the entire rewrite. The file-editing workflow includes a confirmation step before destructive commands. The feedback loop of rewrite-then-audit is well-defined.

3 / 3

Progressive Disclosure

The skill references two supporting files (interactive-intake.md and ai-tells-and-patterns.md) with clear one-level-deep links, which is good structure. However, no bundle files were provided, so we cannot verify these references resolve correctly. The main content is well-organized but the 'Working from files' section could arguably be a separate reference given it's a distinct workflow.

2 / 3

Total

11

/

12

Passed

Validation

100%

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

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
kvokov/oh-my-ai
Reviewed

Table of Contents

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