Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/nitinjain999/platform-skillsnpx agentmods add skills/nitinjain999/platform-skills/mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nitinjain999/platform-skills/mcp)<a href="https://agentmods.dev/skills/nitinjain999/platform-skills/mcp"><img src="https://agentmods.dev/badge/skills/nitinjain999/platform-skills/mcp/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nitinjain999/platform-skills/mcp"><img src="https://agentmods.dev/badge/skills/nitinjain999/platform-skills/mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.03362 |
| Opus 5.5 | $0.00013 | $0.01345 |
| Sonnet 5.5 | $0.00007 | $0.00672 |
| Haiku 4.5 | $0.00003 | $0.00336 |
Grade B, and why
mcp scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
**Claude Code (`~/.claude/settings.json` → `mcpServers`):** How it starts
The opening of the file, as written. The whole thing — 354 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build, review, or debug an MCP (Model Context Protocol) server or client.
Mode: create
Scaffold a production-ready MCP server.
Steps:
- Ask for: language (TypeScript or Python), transport (stdio / HTTP+SSE), list of tools and resources needed
- Generate project scaffold with correct SDK setup
- Implement tool handlers with Zod (TypeScript) or Pydantic (Python) schema validation
- Add resource providers and prompt templates as needed
- Configure transport layer
- Add error handling — return
isError: truecontent, never throw unhandled exceptions to clients - Add authentication and rate limiting for HTTP transports
- Provide MCP Inspector test commands and expected responses
- Add deployment checklist (env vars, secrets, logging)
Validation:
# Smoke-test the MCP server before connecting a host
npx @modelcontextprotocol/inspector <your-server-command>
# This opens an interactive inspector — verify: tools list, resources list, no startup errors
# If the server is not discovered by the host, run /platform-skills:mcp debug
Reference: references/mcp.md → Protocol Fundamentals, TypeScript SDK, Python SDK
Mode: review
Review an existing MCP server or client implementation.
Evaluate in priority order:
- Protocol compliance — JSON-RPC 2.0 correctness, proper capability negotiation, well-formed content arrays
- Schema validation — all tool inputs validated with Zod/Pydantic; no
z.any()or empty schemas - Security — no credentials in tool responses or resource content; auth on HTTP transports; rate limiting present
- Error handling — errors return
isError: truewith a message, not unhandled exceptions - Transport — correct transport for the use case; no blocking sync code in async transports
Output: Critical (must fix) / Improvement (should fix) / Note (informational)
Reference: references/mcp.md → Security, Error Handling, Testing and Debugging
Mode: debug
Diagnose MCP protocol or integration failures.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 354 lines · 33 tokens per session scan B a134d246f52d
mcp is a skill published in the GitHub repository nitinjain999/platform-skills (70 stars, last pushed 3d ago), licensed Apache-2.0. It adds 33 tokens to every session and 3,362 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-12.
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nodejs-backend
Node.js backend patterns: framework selection, layered architecture, TypeScript, validation, error handling, security, production deployment. Use when building REST APIs, Express/Fastify servers, microservices, or server-side TypeScript.
ia-php-laravel
Modern PHP 8.4 and Laravel patterns: architecture, Eloquent, migrations, queues, testing. Use when working with Laravel, Eloquent, Blade, artisan, or building/testing a framework-based PHP app. Not for php-src internals, standalone PHP libraries, or general PHP language discussion.
php-laravel
Modern PHP 8.2+ and Laravel patterns: architecture, Eloquent, queues, Pest testing. Use when asked to "write PHP", "build a Laravel app", "fix Eloquent query", "add a queue job", "write a Pest test", or mentions PHP, Laravel, Eloquent, Blade, artisan, or migrations.
architect
This skill should be used when the user asks to "design system architecture", "evaluate microservices vs monolith", "create architecture diagrams", "analyze dependencies", "choose a database", "plan for scalability", "make technical decisions", or "review system design".
backend
This skill should be used when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs".