awesome-meta-muse-agent: Copy-paste Muse agent briefs for practical workflows, connected apps, approvals, and evidence-backed

Security audit verdict: SAFE · quality 67/100

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.

Quick Facts

About awesome-meta-muse-agent

Awesome Meta Muse Agent A curated collection of practical, copy-paste Muse agent briefs for research, productivity, operations, content, engineering, and personal workflows. Muse is Meta's personal AI agent.

Compatible Skills

These tools work well together with awesome-meta-muse-agent for enhanced workflows:

• awesome-openclaw-usecases-moltbook — semantic(0.33)+complementary+rare_topics+similar_pop (51%)
• awesome-ai-pulse-georgia — semantic(0.34)+complementary+similar_pop (47%)
• awesome-claude-connectors — semantic(0.18)+complementary+rare_topics+similar_pop (46%)
• awesome-openclaw-usecases-zh — semantic(0.29)+complementary+similar_pop (45%)

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How this security grade is produced

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:

• SlowMist agent-security taxonomy
• Liu et al., An Empirical Study of Agent Skill Security (2026)
• Our census dataset (DOI 10.5281/zenodo.21292799) · Hugging Face mirror
• How we grade: all 42 rules, the source tiers and known limits
• Full methodology & who runs this