A reusable JSON template that governs how AI coding agents build your software with defined roles, guardrails, and validation gates.
AgentSpec is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo clone Superfleys/agent-specOpen or clone the template repository.
Move the relevant AGENTS.md content into your project root.
Update project-specific commands, environment rules, and sensitive areas.
AgentSpec is a structured JSON template that turns AI coding assistants into a disciplined engineering team. It defines roles, coding rules, validation gates, and drift prevention to ensure consistent, high-quality code. Works out of the box with Claude Code and other AI agents.
AgentSpec is a reusable project template designed to bring structure and consistency to AI-assisted software development. Instead of relying on unpredictable autocomplete, AgentSpec provides AI agents with defined roles (coding, validation, critique), explicit guardrails (coding conventions, dependency policies, project invariants), self-correction loops (structured validation with severity gating), and session memory (handoff protocols, decision logs). It includes sections for project overview, domain context, technical architecture, engineering standards, AI agent system, and project management. The template is language-agnostic but includes a Python example. It is ideal for solo developers, non-developers directing AI, small teams, freelancers, and anyone who has been burned by AI-generated code that breaks existing projects.
Strong trust signals; still review the README and permissions before production use.
Last commit was about 154 days ago.
64 GitHub stars indicate community interest.
0 open issues signal maintenance load.
MIT license detected.
Standardizing AI-assisted development across a team of multiple AI agents
Preventing AI drift and ensuring consistent coding conventions in long-term projects
Enabling non-developers to manage software projects by describing requirements and rules
Creating repeatable, professional AI workflows for freelance or consulting work
Maintaining project context and decision history across multiple chat sessions
Agent instruction templates should be reviewed before use because they can change coding-agent behavior across an entire repository.
Avoid copying rules that grant broad filesystem, shell, network, or secret access without adapting them to your project.
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A drop-in AGENTS.md file that makes coding agents behave like senior engineers, eliminating sycophancy and forcing verification.
Convert and sync AI coding-agent rule files between formats with zero dependencies.
Generate AGENTS.md from your codebase in one command. Free, instant, no API key.
A reusable JSON template that governs how AI coding agents build your software with defined roles, guardrails, and validation gates.
Solo developers using AI assistants for real projects, Non-developers directing AI agents to build software, Small teams coordinating AI-assisted development
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Agent instruction templates should be reviewed before use because they can change coding-agent behavior across an entire repository. Avoid copying rules that grant broad filesystem, shell, network, or secret access without adapting them to your project.
Similar or complementary options to evaluate include agents-md, agentsync, agentseed.
Jun 7, 2026
2 security/trust notes recorded.
Setup difficulty is 2/5.