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JakeSelby/model-citizen

The control plane for your coding agents, however you run them. One checkout of rules, skills, subagents, hooks and stances, projected into Claude Code and Codex with your own primitives: hook-enforced guardrails, usage telemetry, cost postures and model tiering, under any rules library or orchestration layer.

Latest metrics (snapshot 2026-10-15)

stars24
forks4
issues254
pushed_at2026-10-13T07:38:54Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-1524

ADC Momentum: 35/100

ADC Momentum 35 Leaderboard

Growth velocity28
Consistency22
Recency91
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

descriptionThe control plane for your coding agents, however you run them. One checkout of rules, skills, subagents, hooks and stances, projected into Claude Code and Codex with your own primitives: hook-enforced guardrails, usage telemetry, cost postures and model tiering, under any rules library or orchestration layer.
urlhttps://github.com/JakeSelby/model-citizen
languagePython
licenseMIT
topicsagent-harness
agent-skills
agentic-ai
agentic-coding
agents-md
ai-agents
ai-coding-agent
claude-code
claude-code-hooks
claude-code-plugin
claude-code-rules
claude-skills
created_at2026-09-16T17:43:54Z
homepagehttps://model-citizen.dev

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