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 Storybloq · MCP Server · ★ 753
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is storybloq safe to install? View the security audit →
storybloq Cross-session context persistence for AI coding. A file convention, a CLI, an MCP server, and a Claude Code skill that together turn every coding session into a building block instead of a reset. storybloq.com · Mac app · Review lenses · Privacy The problem AI coding assistants are stateless. Every n
| Stars | 753 |
| Forks | 39 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 66.4685507026526/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-20 |
| Created | 2026-04-17 |
| Platforms | claude-code, cli, codex, mcp, node |
| Est. Tokens | ~18k |
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storybloq is Project memory and workflows for Claude Code and Codex. Keep stories, plans, handovers, and review evidence in your repo. Resume across sessions and follow progress in the Mac app.. It is categorized as a MCP Server with 753 GitHub stars.
storybloq is primarily written in TypeScript. It covers topics such as agentic-development, ai-development, anthropic.
You can find installation instructions and usage details in the storybloq GitHub repository at github.com/Storybloq/storybloq. The project has 753 stars and 39 forks, indicating an active community.
The top alternatives to storybloq on Agent Skills Hub include orchestkit, mcp-fusion, claude-historian-mcp. 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: