skills: Univer Skill enables AI tools to work directly with spreadsheets, Excel workbooks, and CSV files

by dream-num · Codex Skill · ★ 77

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install skills

npx skills add dream-num/skills
git clone https://github.com/dream-num/skills.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillsai-agentclaude-codeclaude-code-skillscsvdiffexcelgit-stylelocal-firstopenai-codex

Quick Facts

Stars77
Forks7
LanguageJavaScript
CategoryCodex Skill
LicenseApache-2.0
Quality Score70/100
Open Issues7
Last Updated2026-10-14
Created2026-03-18
Platformsclaude-code, cli, codex, node
Est. Tokens~14k

About skills

Official Univer Skills for Workbook Automation Languages: English | 简体中文 Official Univer skills for workbook automation across Claude Code, Codex, and Cursor. This repository exposes canonical Univer product skills: : required entry skill for workbook tasks : path-first workbook work through : SaC workbook behavior plans under : plan review and pack-by-pack execution : assertion-backed SaC TDD...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools