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None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 55 |
| Forks | 7 |
| Language | Shell |
| Category | AI Tool |
| Quality Score | 58/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-09 |
| Created | 2026-03-26 |
| Platforms | claude-code, cli |
| Est. Tokens | ~12k |
claude-statusline A bash script that formats Claude Code's statusline JSON into a readable status bar. Model, git branch, context window %, 5h and 7d rate limits with pace indicators. On API/enterprise plans (no in the JSON), the script shows session cost, burn rate, cache hit rate, cost per 1k tokens, net lines changed, and budget tracking across sessions.
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Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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.
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