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 JayantDevkar · MCP Server · ★ 328
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-code-karma safe to install? View the security audit →
Claude Code Karma Your Claude Code sessions deserve more than a terminal. A local-first, open-source dashboard that turns your /.claude/ data into a visual story — sessions, timelines, costs, and live activity, all on your machine. Why Claude Code Karma? If you use Claude Code, you already have a goldmine of data sitting in — every session, every tool call, every token. But it's all buried in JSONL files you'll never read. Warning: Claude Code only keeps session data for about 30 days. Older JSONL files in are automatically
| Stars | 328 |
| Forks | 34 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 65.7733212520977/100 |
| Open Issues | 11 |
| Last Updated | 2026-09-18 |
| Created | 2026-01-06 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~17k |
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claude-code-karma is Dashboard for monitoring claude code sessions.. It is categorized as a MCP Server with 328 GitHub stars.
claude-code-karma is primarily written in Python. It covers topics such as agents, agentskills, claude-code.
You can find installation instructions and usage details in the claude-code-karma GitHub repository at github.com/JayantDevkar/claude-code-karma. The project has 328 stars and 34 forks, indicating an active community.
claude-code-karma is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to claude-code-karma on Agent Skills Hub include unbrowse, developer-kit, orchestkit. 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: