by gongnyang · Claude Skill · ★ 69
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Claude Code skill: McKinsey/Bain consulting-style HTML chart generator with Chrome headless PNG export
| Stars | 69 |
| Forks | 16 |
| Language | Shell |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 48.8168382861433/100 |
| Last Updated | 2026-07-30 |
| Created | 2026-04-12 |
| Platforms | browser, claude-code, cli |
| Est. Tokens | ~10k |
These tools work well together with gongnangi-chart-skill for enhanced workflows:
Looking for a gongnangi-chart-skill alternative? If you're comparing gongnangi-chart-skill with other claude skill tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A tool for autonomous agents like OpenClaw to discover and learn skills autonomously
Explore other popular claude skill tools:
gongnangi-chart-skill is Claude Code skill: McKinsey/Bain consulting-style HTML chart generator with Chrome headless PNG export. It is categorized as a Claude Skill with 69 GitHub stars.
gongnangi-chart-skill is primarily written in Shell.
You can find installation instructions and usage details in the gongnangi-chart-skill GitHub repository at github.com/gongnyang/gongnangi-chart-skill. The project has 69 stars and 16 forks, indicating an active community.
gongnangi-chart-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to gongnangi-chart-skill on Agent Skills Hub include skyll. 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: