CCFA-Skills: A skill family for shaping the research storyline of CCF-A papers

by mikubaka88 · AI Tool · ★ 3.2k

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

How to install CCFA-Skills

npx skills add mikubaka88/CCFA-Skills --global --agent codex --skill '*' --yes --copy

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 59/100

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. Full audit →

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.

Quick Facts

Stars3,216
Forks136
LanguageTeX
CategoryAI Tool
LicenseMIT
Quality Score59/100
Open Issues8
Last Updated2026-10-20
Created2026-06-04
Est. Tokens~20k

About CCFA-Skills

CCFA-Skills A skill family for shaping the research storyline of CCF-A papers. 简体中文 · English · 繁體中文 最新更新 · v0.11.0 “The structure of the prose becomes the structure of the scientific argument.” George D. Gopen and Judith A. Swan, The Science of Scientific Writing “The very process of science is centered around communication.” Yann LeCun and James M. Manyika, Learning Abstractions 目录 [快速开

Compatible Skills

These tools work well together with CCFA-Skills for enhanced workflows:

  • scipilot-figure-skill — semantic(0.30)+complementary+similar_pop (45%)
  • xLAM — semantic(0.29)+complementary+similar_pop (45%)

CCFA-Skills alternative? Top 6 similar tools

Looking for a CCFA-Skills alternative? If you're comparing CCFA-Skills with other ai tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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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:

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