Borrowing it
Nothing to install: this file belongs to tkalejandro/drag-race-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/tkalejandro/drag-race-mcp/main/.cursor/skills/mcp-tools/SKILL.mdgit clone --depth 1 https://github.com/tkalejandro/drag-race-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/tkalejandro/drag-race-mcp/mcp-tools)<a href="https://agentmods.dev/skills/tkalejandro/drag-race-mcp/mcp-tools"><img src="https://agentmods.dev/badge/skills/tkalejandro/drag-race-mcp/mcp-tools/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/tkalejandro/drag-race-mcp/mcp-tools"><img src="https://agentmods.dev/badge/skills/tkalejandro/drag-race-mcp/mcp-tools.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 | $0.00052 | $0.01056 |
| Opus 5.5 | $0.00021 | $0.00422 |
| Sonnet 5.5 | $0.00010 | $0.00211 |
| Haiku 4.5 | $0.00005 | $0.00106 |
Grade A, and why
mcp-tools scanned grade A with 0 findings 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 2mo 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP tools — drag-race-mcp
Follow TypeScript conventions from the typescript-style skill (arrow consts, .ts imports).
Layout
src/tools/
utility.ts # toolResult + readOnlyAnnotations
scope_fields.ts # shared franchise/region/origin filters
general|seasons|queens|episodes|lore/
index.ts # register{Domain}Tools(server)
snake_case_tool.ts # one tool per file
src/server.ts # calls each register{Domain}Tools
Registration chain: tool registerX → domain index.ts → src/server.ts.
Per-tool file
Canonical smoke-test (annotated): src/tools/general/welcome_user.ts.
Real data tool: src/tools/queens/get_queen.ts.
Structure every tool file like this:
import type { McpServer } from "@modelcontextprotocol/server";
import { z } from "zod";
import { toolResult, readOnlyAnnotations } from "../utility.ts";
// + service/accessor + kb schemas as needed
const inputSchema = z.object({
// fields with .describe("...") for the LLM
});
const outputSchema = z.object({
// or z.discriminatedUnion("ok", [...])
});
type Output = z.infer<typeof outputSchema>;
/** Register the `snake_name` tool (...). */
export const registerThing = (server: McpServer) => {
server.registerTool(
"snake_name",
{
description:
"Verb + resource + scope. When to use / when not to use; name sibling tools. Do not recap the output schema.",
inputSchema,
outputSchema,
annotations: readOnlyAnnotations,
},
async (args) => {
const output: Output = { /* ... */ };
return toolResult(output);
},
);
};
Always return toolResult(output) from src/tools/utility.ts (JSON text in content + same object in structuredContent).
Always pass annotations: readOnlyAnnotations (readOnlyHint: true, destructiveHint: false, idempotentHint: true, openWorldHint: false). This KB is local JSON, not the live web.
TDQS descriptions
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.
- 2mo ago First seen · 108 lines · 52 tokens per session scan A 1cf902031cef
mcp-tools is a skill published in the GitHub repository tkalejandro/drag-race-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 52 tokens to every session and 1,056 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
mcp-tools compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mcp-toolstkalejandro/drag-race-mcp | Skill | 0 | 2mo ago | MIT | A | 52 | Cursor |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |