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 Kulaxyz · Agent Tool · ★ 954
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is self-learning-skills safe to install? View the security audit →
self-learning-skills A self-improving skill for AI coding agents. Works with Claude Code, Cursor, and any agent that reads an / standing-instructions file. Every session you do hard debugging or rediscover the same thing — how do I reach the prod DB? where do the creds live? what's the deploy command? how do I verify this live? — and that hard-won knowledge evaporates when the session ends. The next session starts from zero and re-learns it. self-learning fixes that. It teaches your agent to recognize the moment it has just earned a reusable golden path and persist it where the tool will auto-load it next time — so the next session starts already knowing the route instead of rediscovering it. It's a meta-skill: it doesn't do the work, it captures how the work got done — including the failures, since skipping a known dead-end next session is often worth more than the win itself. The loop (same everywhere) Recognize the moment — a task that only worked after several tries, a non-obvious command, a project fact you didn't know up front, an operational workflow likely to recur, or you simply saying "remember this".
| Stars | 954 |
| Forks | 44 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 66.6401288468542/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-14 |
| Created | 2026-06-28 |
| Platforms | claude-code |
| Est. Tokens | ~4k |
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self-learning-skills is A self-improving skill for AI coding agents (Claude Code, Cursor, AGENTS.md): recognize a hard-won golden path in a session and harvest it into a reusable skill/rule for next time.. It is categorized as a Agent Tool with 954 GitHub stars.
You can find installation instructions and usage details in the self-learning-skills GitHub repository at github.com/Kulaxyz/self-learning-skills. The project has 954 stars and 44 forks, indicating an active community.
self-learning-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to self-learning-skills on Agent Skills Hub include excalidraw-diagram-skill, raptor, playwright-skill. 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: