cover: Keep private data, internal infrastructure and secrets out of cloud coding agents without breaking

by DavidCarliez · Codex Skill · ★ 58

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

How to install cover

git clone https://github.com/DavidCarliez/cover.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 68/100

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-securityclaude-codecodexcoding-agentscursordata-redactiondlpllmllm-privacylocal-first

Quick Facts

Stars58
Forks5
LanguageGo
CategoryCodex Skill
LicenseApache-2.0
Quality Score68/100
Last Updated2026-10-30
Created2026-08-21
Platformsclaude-code, codex, go
Est. Tokens~22k

About cover

Cover Keep private data, internal infrastructure and secrets out of cloud coding agents without breaking your workflow. Install · Quick start · Policies · Monitoring · Pi / OMP · Security Cover is a bidirectional privacy proxy for AI coding agents.

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Looking for a cover alternative? If you're comparing cover with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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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:

View on GitHub → Browse Codex Skill tools