by zairuilab · Agent Tool · ★ 26
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is consulting-deck safe to install? View the security audit →
Turn complex sources into evidence-traceable, layout-safe, natively editable McKinsey-style PowerPoint — 45 semantic page contracts and verified chart data.
No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
| Stars | 26 |
| Forks | 3 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 62.2943587942661/100 |
| Last Updated | 2026-10-02 |
| Created | 2026-07-27 |
| Platforms | python |
| Est. Tokens | ~17k |
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consulting-deck is Turn complex sources into evidence-traceable, layout-safe, natively editable McKinsey-style PowerPoint — 45 semantic page contracts and verified chart data.. It is categorized as a Agent Tool with 26 GitHub stars.
consulting-deck is primarily written in Python. It covers topics such as agent-skill, consulting, consulting-deck.
You can find installation instructions and usage details in the consulting-deck GitHub repository at github.com/zairuilab/consulting-deck. The project has 26 stars and 3 forks, indicating an active community.
The top alternatives to consulting-deck on Agent Skills Hub include slidepoise, mckinsey-style-visualization-skill, slide-wright. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: