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 →
by QinghongLin · Agent Tool · ★ 150
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is data2story-skill safe to install? View the security audit →
Data2Story A data-journalist agent skill that turns any dataset into a verifiable, evidence-grounded multimodal story — a self-contained HTML article where every sentence traces back to the data or source that justifies it. What it does Dataset → finished article. Point it at a CSV, a folder of data, or a paper, and a fixed pipeline of seven roles produces a publishable HTML story end to end. Evidence-grounded. Every sentence and visual links back to its source. The pipeline emits a inspector where you can click any claim to see the data, code, or citation behind it. Multimodal by default. Charts, images, video, audio, maps, and interactive elements — chosen from the data's actual properties, not a fixed checklist. Media generation routes through OpenRouter. Verifiable. Each run writes to its own versioned project folder and snapshots the exact skill versions used, so every result can be traced and re-checked. Progressive disclosure. Each role's holds only its instructions; bulky reference material (output schemas, field rules, lookup tables) lives in that role's folder as JSON and is loaded only when neede
| Stars | 150 |
| Forks | 20 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71.550091257404/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-05 |
| Created | 2026-05-23 |
| Platforms | python |
| Est. Tokens | ~14k |
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data2story-skill is Data Journalist Agent: Transforming Data into Verifiable Multimodal Story. It is categorized as a Agent Tool with 150 GitHub stars.
data2story-skill is primarily written in Python. It covers topics such as agent-skills, data-journalists, data-science.
You can find installation instructions and usage details in the data2story-skill GitHub repository at github.com/QinghongLin/data2story-skill. The project has 150 stars and 20 forks, indicating an active community.
data2story-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to data2story-skill on Agent Skills Hub include comfyui-mcp, free-ai-resources-x, RAGLight. 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: