agentsecrets: Zero-knowledge credentials infrastructure built for AI agents to operate, not just consume

by The-17 · Codex Skill · ★ 197

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

How to install agentsecrets

brew install The-17/tap/agentsecrets
npm install -g @the-17/agentsecrets

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 73/100

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.

agent-secretsaiai-agentsai-securitycredential-managementdeveloper-toolsdevopsopenclawsecurity

Quick Facts

Stars197
Forks15
LanguageGo
CategoryCodex Skill
LicenseMIT
Quality Score73/100
Open Issues1
Last Updated2026-11-07
Created2026-02-17
Platformsgo
Est. Tokens~20k

About agentsecrets

AgentSecrets Zero-Knowledge Credential Infrastructure for AI Agents (and Humans and Teams): Secure key orchestration, sandboxed execution capabilities, and runtime delegation without ever exposing secret values to agent reasoning loops. Website Engineering Blog AgentSecrets is the zero-knowledge credential infrastructure for the AI era.

Compatible Skills

These tools work well together with agentsecrets for enhanced workflows:

  • aguara — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • pipelock — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • rampart — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)
  • wardgate — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)
  • jenkins-cli — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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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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