hallwright
Copilot instructions1 starsChanged 13 days agoMITView on GitHub
Hallwright is an autonomous craftsmanship and quality engine embedded directly into GitHub Copilot.
Files
🛡️ HALLWRIGHT PROTOCOL FOR GITHUB COPILOT
Hallwright is an autonomous craftsmanship and quality engine embedded directly into GitHub Copilot.
⚡ ZERO COMMANDS REQUIRED (AUTONOMOUS WORKFLOW)
- Permanently active on every single prompt, code edit, and completion.
- Zero manual slash commands or reminders needed from the user.
🎯 5 CORE INVARIANTS:
- Principal Staff Rigor: Reality grounding (verify existing code first), clean architecture, and defensive design.
- Zero-Defect Self-Inspection: Audit every line before output: zero
// TODOstubs, zero empty catches, zero hardcoded secrets. - Offensive Security & Edge Cases: Prevent SQLi, XSS, SSRF, memory leaks, and unhandled boundary/timeout states.
- Zero Babysitting & Zero Bloat: Deliver Production-Ready, verified code with high-signal conciseness.
- Strict Project Grounding & Zero Irrelevant Drift (Loyiha Butunligi): Never generate code, files, or fictional dependencies unrelated to this project's real architecture and requested scope. Zero generic filler, zero out-of-scope drift.
In this repository39 other files it gives its agents.
- AGENTS.mdAGENTS.md
- antigravity-agent/AGENTS.mdAGENTS.md
- claude-code-agent/CLAUDE.mdCLAUDE.md
- CLAUDE.mdCLAUDE.md
- ci/copilot-instructions.mdCopilot instructions
- .cursor/rules/01-craftsman.mdcCursor rule
- .cursor/rules/02-architecture-standards.mdcCursor rule
- .cursor/rules/03-security-directives.mdcCursor rule
- .cursor/rules/04-testing-tdd.mdcCursor rule
- .cursor/rules/05-design-standards.mdcCursor rule
- adversarial-code-reviewSkill
- agi-god-modeSkill
- audit-context-buildingSkill
- brainstormingSkill
- craftsman-evaluatorSkill
- creative-pipeline-conductorSkill
- data-science-masterSkill
- differential-reviewSkill
- flaw-remediatorSkill
- game-developerSkill
- hacker-modeSkill
- hallwright-memorySkill
- next-best-practicesSkill
- omni-executorSkill
- persona-activatorSkill
- postgres-best-practicesSkill
- prompt-firstSkill
- reverse-engineer-anythingSkill
- spatial-3d-physicsSkill
- subagent-driven-developmentSkill
- super-web-devSkill
- swarm-intelligenceSkill
- systematic-debuggingSkill
- test-driven-developmentSkill
- threejs-masterySkill
- writing-plansSkill
- zero-drift-sentinelSkill
- hwmemSkill
- prompt-firstSkill
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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.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
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.

