shepard-obs-stack: Self-hosted observability for AI coding agents. Clone. Configure. See

by shepard-system · Codex Skill · ★ 69

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

How to install shepard-obs-stack

git clone https://github.com/shepard-system/shepard-obs-stack.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: CAUTION · quality 66/100

Flagged: sudo usage. 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.

ai-agentsclaude-codecodexgemini-cligrafanalokiobservabilityopentelemetryprometheus

Quick Facts

Stars69
Forks6
LanguageShell
CategoryCodex Skill
Quality Score66/100
Last Updated2026-03-24
Created2026-02-23
Platformsclaude-code, cli, codex, gemini
Est. Tokens~77k

About shepard-obs-stack

shepard-obs-stack The Eye — self-hosted observability for AI coding assistants. You use Claude Code, Codex, or Gemini CLI every day. You have no idea how much they cost, which tools they call, or whether they're actually helping. This fixes that.

Compatible Skills

These tools work well together with shepard-obs-stack for enhanced workflows:

  • langfuse-mcp — semantic(0.23)+complementary+rare_topics+similar_pop+shared_platform (53%)
  • claude-council — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
  • claude-code-mcp-init — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)

shepard-obs-stack alternative? Top 6 similar tools

Looking for a shepard-obs-stack alternative? If you're comparing shepard-obs-stack 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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  • agent-designer by appautomaton · ⭐ 130

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  • runtm by runtm-ai · ⭐ 303

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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