false9
Copilot instructions0 starsChanged 6 months agoMITView on GitHub
This project uses the False9 multi-agent audit and completion system. The agent definitions in .github/copilot/ define specialized AI agents that can be loaded as custom instructions for code review, security scanning, performance auditing, and more. Load any agent markdown file as a custom instruction or workspace prompt in GitHub Copilot Chat.
In this repositoryOne other file it gives its agents.
- .codex/AGENTS.mdAGENTS.md
The file
Files
False9 — GitHub Copilot Integration
This project uses the False9 multi-agent audit and completion system.
Agents
The agent definitions in .github/copilot/ define specialized AI agents that can be loaded as custom instructions for code review, security scanning, performance auditing, and more.
Usage
Load any agent markdown file as a custom instruction or workspace prompt in GitHub Copilot Chat.
Available Agents
f9-manager.md— Orchestration and project reconf9-code-quality.md— Code quality analysisf9-backend.md— Backend API auditingf9-database.md— Database query optimizationf9-security.md— Security vulnerability scanningf9-frontend.md— Frontend completion and wiringf9-performance.md— Performance profilingf9-testing.md— Test quality analysisf9-llm-validator.md— LLM feature validationf9-devops.md— DevOps and deploy readinessf9-innovation.md— Quick win identificationf9-synthesizer.md— Final report generation
Commands
f9-audit— Full engineering auditf9-complete— Intent reconstruction + completion + audit
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
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Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.