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 Capnjbrown · MCP Server · ★ 61
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is c0ntextKeeper safe to install? View the security audit →
c0ntextKeeper The only automatic context preservation system for Claude Code Zero configuration. Works out of the box. Never lose work to compaction again.
| Stars | 61 |
| Forks | 7 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.3522314924422/100 |
| Open Issues | 13 |
| Last Updated | 2026-07-31 |
| Created | 2025-08-27 |
| Platforms | claude-code, cli, mcp, node |
| Est. Tokens | ~18k |
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c0ntextKeeper is Automatic context preservation for Claude Code. Never lose work to compaction again. 7 hooks, 187 semantic patterns, 3 MCP tools.. It is categorized as a MCP Server with 61 GitHub stars.
c0ntextKeeper is primarily written in TypeScript. It covers topics such as agentic-workflow, ai-tools, anthropic.
You can find installation instructions and usage details in the c0ntextKeeper GitHub repository at github.com/Capnjbrown/c0ntextKeeper. The project has 61 stars and 7 forks, indicating an active community.
c0ntextKeeper is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to c0ntextKeeper on Agent Skills Hub include claude-historian-mcp, claude-emporium, mcp-fusion. 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: