social-media-caption-generator-claude: Social media caption generator as a Claude skill — turn any text, script, or screenshot into ready-to-post

by rediumvex · Claude Skill · ★ 143

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install social-media-caption-generator-claude

git clone https://github.com/rediumvex/social-media-caption-generator-claude.git social-captions

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 69/100

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.

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.

ai-marketingai-writeranthropiccaption-generatorclaudeclaude-codeclaude-skillclaude-skillscontent-creationcontent-marketing

Quick Facts

Stars143
Forks16
CategoryClaude Skill
LicenseMIT
Quality Score69/100
Last Updated2026-08-11
Created2026-04-10
Platformsclaude-code
Est. Tokens~3k

About social-media-caption-generator-claude

Social Media Caption Generator — Claude Skill Social media caption generator for Claude Code. Turn any text, script, screenshot, or competitor post into ready-to-post captions for all 7 major platforms — optimized for the signals each algorithm actually rewards. This is the actual Claude skill I use to caption every post on @theromanknox (280K+ followers). One prompt in.

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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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