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 stbenjam · Codex Skill · ★ 66
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skillsaw safe to install? View the security audit →
skillsaw Keep your skills sharp. 40+ rules catch weak language, contradictions, attention dead zones, and structural issues — then auto-fix them. Full documentation at skillsaw.org — supports Claude Code plugins, agentskills.io, CLAUDE.md, AGENTS.md, Cursor, Copilot, Gemini, Kiro, CodeRabbit, and more. Table of Contents [Quick Start](#quick-start
| Stars | 66 |
| Forks | 15 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 71.4691134728628/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-19 |
| Created | 2026-05-07 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~24k |
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skillsaw is Keep your skills sharp. Intelligence for agent context.. It is categorized as a Codex Skill with 66 GitHub stars.
skillsaw is primarily written in Python. It covers topics such as agent, agents, agents-skills.
You can find installation instructions and usage details in the skillsaw GitHub repository at github.com/stbenjam/skillsaw. The project has 66 stars and 15 forks, indicating an active community.
skillsaw is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to skillsaw on Agent Skills Hub include herdr-agent-quota, skillnote, agentrove. 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: