fluff-detector
Detect human-oriented content in LLM artifacts. Flags attribution, personas, redundant explanations, marketing language, and decorative elements that waste tokens without improving LLM behavior.
npx skills add majiayu000/claude-skill-registry --skill fluff-detector --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Fluff Detector ## Purpose Verify that agents, commands, and skills are written for LLM consumption, not human readers. Every token should improve execution, not provide comfort or credibility. ## When to Use - Creating new agents, commands, or skills - Reviewing PRs that add/modify LLM artifacts - Quality gate before merge - Auditing existing artifacts for token waste ## Fluff Categories ### 1. Attribution Signals Content that establishes credibility for humans but has no LLM value. | Pattern | Example | Problem | |---------|---------|---------| | "Inspired by X" | "Inspired by DHH's approach" | LLM can't retrieve by author | | "Based on X's methodology" | "Based on Martin Fowler's patterns" | Pure credibility signal | | "According to X" | "According to industry experts" | Appeal to authority | | "As recommended by" | "As recommended by Google" | No execution value | **Exception:** Names that define a style (e.g., "DHH-style Rails") are functional, not attribution. **Detection pattern:** ```regex (inspired by|based on|according to|as recommended by|following|using|applying)\s+[A-Z][a-z]+('s)? ``` ### 2. Decorative Quotes Inspirational or philosophical quotes that add no functiona
- Purpose
- When to Use
- Fluff Categories
- 1. Attribution Signals
- 2. Decorative Quotes
- 3. Persona Fluff
- 4. Redundant Explanations
- 5. Marketing Language
- 6. Hedging Language
- 7. Filler Phrases
- Usage
- Validate Single File
- Validate All Agents
- CI Integration
for agent in plugins/*/agents/**/*.md; do done
What does the fluff-detector skill do?
Detect human-oriented content in LLM artifacts. Flags attribution, personas, redundant explanations, marketing language, and decorative elements that waste tokens without improving LLM behavior.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill fluff-detector --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.