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New Linter Tool Scores AI Agent Skills for Context and Safety

By PulseAugur Editorial · [1 sources] ·

A new tool called skillscore has been developed to evaluate the quality of AI agent skills, particularly focusing on context usage and safety. When applied to a highly-starred GitHub repository containing 24 AI agent skills, skillscore awarded an average score of 84/100. The tool identified two key areas for improvement: the lack of explicit stop conditions in skill descriptions and the absence of safety sections for skills involving terminal commands. AI

IMPACT This tool could help developers improve the efficiency and safety of AI agents by identifying critical metadata gaps.

RANK_REASON The item describes a new software tool for evaluating AI agent skills.

Read on dev.to — Claude Code tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Linter Tool Scores AI Agent Skills for Context and Safety

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0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Tool
The item describes a new software tool for evaluating AI agent skills.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, other
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High
Clearly on-topic for AI-industry coverage.
Story freshness
105 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

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COVERAGE [1]

  1. dev.to — Claude Code tag TIER_1 English(EN) · Sayed Ali Alkamel ·

    I Pointed a Skill Linter at a 52k-Star Repo. Here Is What 84/100 Looks Like.

    <p>Every AI agent skill you write burns context on every turn.</p> <p>Not just when the skill is running. On every turn. The agent keeps each skill's name and description loaded permanently so it knows when to invoke them. A vague description is not just a documentation problem. …

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