by apurvrdx1 · Claude Skill · ★ 53
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/apurvrdx1/tagore.git && cd tagore && ./install.sh --all
Taken from the project's README on GitHub.
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.
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 | 53 |
| Forks | 4 |
| Language | Shell |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 72/100 |
| Last Updated | 2026-05-28 |
| Created | 2026-05-01 |
| Platforms | claude-code, cli, codex, gemini |
| Est. Tokens | ~74k |
Tagore "The butterfly counts not months but moments, and has time enough." — Rabindranath Tagore A skill for Claude Code, OpenCode, GitHub Copilot CLI, OpenAI Codex CLI, Gemini CLI, Goose, and Hermes (NousResearch agent runtime). Run on the AI-drafted prose you just generated; it rewrites the text to sound human and scores how close it got.
These tools work well together with tagore for enhanced workflows:
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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.
Sources & who's responsible: