Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# React / TSX (Frontier)
Canonical: `.github/instructions/react.instructions.md` and
`.github/skills/languages/react/SKILL.md` -- read through
`pwsh -NoProfile -File .frontier/runtime/frontier.ps1 cursor read <canonical-path>`.
- Functional components with typed props; custom hooks prefixed `use`.
- useCallback/useMemo/React.memo where it matters; TanStack Query for server
state.
- React Testing Library (test behavior); semantic HTML, alt text, keyboard nav.
The line at the top of this page pins the label git:20261010.87e53aa, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_zhgtrrx3oed3u2a5
GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/.cursor/rules/react.mdc
GET https://markdownregistry.com/api/v1/blob/a0932a3ba6813b6dd87509cd843bb2d1140c7225e2bb2d86b135cc46040135ba
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
jnpiyush/agentx · .github/skills/ai-systems/agent-observability/SKILL.md · Instrument LLM agents with tracing, metrics, and evaluation telemetry. Use when adding OpenTelemetry GenAI semantic…
jnpiyush/agentx · .github/skills/ai-systems/ai-agent-development/SKILL.md · Build production-ready AI agents with Microsoft Foundry and Agent Framework. Use when creating AI agents, selecting LLM…
jnpiyush/agentx · .github/skills/ai-systems/ai-evaluation/SKILL.md · Use when evaluating AI quality, safety, completeness and cost with held-out tasks, executable graders, calibrated…
jnpiyush/agentx · .github/skills/ai-systems/ai-safety-and-red-teaming/SKILL.md · Defend LLM systems against prompt injection, jailbreaks, data exfiltration, and unsafe output. Covers input/output…
jnpiyush/agentx · .github/skills/ai-systems/azure-foundry/SKILL.md · Design and architect AI agents on Azure AI Foundry -- lifecycle planning, model selection strategy, evaluation…
ericrisco/rsc-harness · skills/react/SKILL.md · Use when building or reviewing a client-side React SPA bundled by Vite (React 19.2): components, where state lives…
magnus919/agent-skills · react/SKILL.md · Operate React applications as a named tool: inspect and diagnose React/Vite projects, design component boundaries and…
jnpiyush/agentx · .github/skills/languages/react/SKILL.md · Build React applications with modern hooks, TypeScript, and performance best practices. Use when creating React…
