awesome-openclaw-usecases-moltbook: Real-world OpenClaw automation examples from Moltbook

by Evolink-AI · Codex Skill · ★ 1.0k

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Security audit verdict: SAFE · quality 58/100

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.

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Quick Facts

Stars1,012
Forks106
CategoryCodex Skill
Quality Score58/100
Open Issues8
Last Updated2026-06-15
Created2026-02-19
Est. Tokens~18k

About awesome-openclaw-usecases-moltbook

Awesome OpenClaw Use Cases from Moltbook ⚡ Power OpenClaw with Top Models — Pay 30% Less Route Claude Opus 4.6, Sonnet 4.5, and Haiku through EvoLink at 30% off official pricing. One API key. No config changes. Works with every use case below.

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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:

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