by kostyay · Claude Skill · ★ 12
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 12 |
| Forks | 1 |
| Language | Go |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 77/100 |
| Last Updated | 2026-08-07 |
| Created | 2025-12-30 |
| Platforms | claude-code, cli, go |
| Est. Tokens | ~20k |
Customizable status line for Claude Code CLI - shows git status, GitHub CI, token usage, and task tracking (Claude tasks, kt, tk, beads)
Looking for a claude-status alternative? If you're comparing claude-status with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Local-first AI knowledge layer. Extract architecture, query from any AI tool via MCP. Private by architecture.
Process manager for AI agents (and humans)
CLI tool that generates commit messages from git changes, reviews code for quality issues, and provides debugg
Claude Code skills plugin for Git, GitHub, and skill authoring workflows
The hivemind for AI coding agents — persistent team context recorded once and recalled across agents, machines
CLI-first MCP server for composer-based Kirby CMS projects — inspect blueprints/templates/plugins, interact wi
Explore other popular claude skill tools:
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.
Sources & who's responsible: