herdr-agent-quota: Credential-scoped AI quota, context, and cache in Herdr for Claude, Codex, Grok, Agy, OpenCode, Pi, omp, Devin

by levi-qiao · Codex Skill · ★ 128

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

Security audit verdict: SAFE · quality 71/100

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-usageai-agentsantigravityclaude-codecodexcursordevingrokherdrherdr-plugin

Quick Facts

Stars128
Forks30
LanguageRust
CategoryCodex Skill
LicenseMIT
Quality Score71/100
Last Updated2026-09-20
Created2026-08-15
Platformsclaude-code, codex, rust
Est. Tokens~25k

About herdr-agent-quota

herdr-agent-quota Live, credential-scoped AI quota and context in Herdr's agent sidebar. 中文文档:README.zh-CN.md That packed layout is the default. puts provider, model, and each quota field on its own row so a narrow sidebar does not truncate , , or : packed (default) stacked The plugin shows only data it can attribute to the pane's exact session and credential scope.

Compatible Skills

These tools work well together with herdr-agent-quota for enhanced workflows:

  • clauth — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • claude-pace — semantic(0.45)+complementary+rare_topics+similar_pop+shared_platform (65%)
  • claudebar — semantic(0.32)+complementary+rare_topics+similar_pop+shared_platform (60%)

herdr-agent-quota alternative? Top 6 similar tools

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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