A management layer for AI agent skills — discover, install, scope, rate, and update skills across Cursor, Codex, and Claude Code.
SaferSkills independently audited skill-mix (Agent Skill) and scored it 92/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 2 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 2 flagged
The text {match} tells the agent to skip the normal "ask the user first" gate. Used adversarially it removes the human-in-the-loop check before destructive or sensitive actions, turning a normally-gated agent into a fire-and-forget executor.
The text {match} tells the agent to skip the normal "ask the user first" gate. Used adversarially it removes the human-in-the-loop check before destructive or sensitive actions, turning a normally-gated agent into a fire-and-forget executor.
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A management layer for AI agent skills — discover, install, scope, rate, and update skills across Cursor, Codex, and Claude Code.
All three tools follow the open Agent Skills standard (SKILL.md), but none solves the management problem: how to find the right skill, avoid duplicates, track where it came from, or know if it's any good.
Quick install Skill Mix, open the app, and launch the skill-picker modal:
npx -y skill-mix obra/superpowersClassic installer:
curl -fsSL https://raw.githubusercontent.com/razbakov/skills-manager/main/scripts/install.sh | bashRun skills to launch application
Open/focus the app and trigger the skill-picker from CLI:
Skill Mix desktop UI
bun install
bun run dist:dmgThis outputs a DMG installer in release/.
See [Research](docs/research.md) for how tools handle skills today, [User Problems](docs/problems.md) for 14 documented pain points, [Landscape](docs/landscape.md) for existing directories and tools, and [Competitors](docs/competitors.md) for detailed analysis of current solutions and their gaps.
config.toml, but no UI).~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.