Borrowing it
Nothing to install: this file belongs to VerificateAI/verificate-mcp-quickstart. 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/VerificateAI/verificate-mcp-quickstart/master/.claude/skills/verificate/SKILL.mdgit clone --depth 1 https://github.com/VerificateAI/verificate-mcp-quickstartWrote 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/verificateai/verificate-mcp-quickstart/verificate)<a href="https://agentmods.dev/skills/verificateai/verificate-mcp-quickstart/verificate"><img src="https://agentmods.dev/badge/skills/verificateai/verificate-mcp-quickstart/verificate/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/verificateai/verificate-mcp-quickstart/verificate"><img src="https://agentmods.dev/badge/skills/verificateai/verificate-mcp-quickstart/verificate.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 | $0.00092 | $0.00656 |
| Opus 5.5 | $0.00037 | $0.00262 |
| Sonnet 5.5 | $0.00018 | $0.00131 |
| Haiku 4.5 | $0.00009 | $0.00066 |
Grade B, and why
verificate scanned grade B with 2 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -s https://mcp.verificate.ai/mcp -H "content-type: application/json" -d '{ Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s https://mcp.verificate.ai/mcp -H "content-type: application/json" -d '{ How it starts
The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verificate — verify AI-written work before you trust it
The merge gate for AI-written code, plans, and documents. Deterministic reality gates run first and can veto (no model output can override them); a frontier-model review then scores what survives. Read-only: code is analyzed, never executed.
When to use this skill
- Before presenting a substantive code change as finished.
- When the user asks to validate / review / verify / gate AI-generated code, a plan, or a document.
- When a coding agent is about to accept a diff or write code to disk.
How to use it
Preferred — the MCP server (if connected): call validate_ai_output with the code and validation_type: "code_generation" (use "documentation" for prose, validate_plan for designs). Add the server once with:
claude mcp add --transport http verificate https://mcp.verificate.ai/mcp
Fallback — direct HTTP (no MCP client needed): POST a JSON-RPC tools/call to https://mcp.verificate.ai/mcp:
curl -s https://mcp.verificate.ai/mcp -H "content-type: application/json" -d '{
"jsonrpc":"2.0","id":1,"method":"tools/call",
"params":{"name":"validate_ai_output","arguments":{
"ai_output":"<CODE HERE>","validation_type":"code_generation"}}}'
The response contains result.structuredContent with valid (approve/reject), score, and issues (the findings).
What to do with the verdict
- If
validis false (REJECTED), fix every finding and validate again. Never present rejected work or summarize the findings away — a deterministic-gate veto cannot be argued past; the flagged content itself must change. - Tell the user, in one plain sentence, what the gate caught. A caught bug is exactly the outcome they want.
Free tier & privacy
25 validations per machine, no signup, no card, no token. After that, add Authorization: Bearer <token> (30-day trial at https://verificate.ai/auth/signup). Code is analyzed, never executed, never used to train models. Privacy: https://verificate.ai/privacy
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 · 48 lines · 92 tokens per session scan B 8cb2be5edaec
verificate is a skill published in the GitHub repository VerificateAI/verificate-mcp-quickstart (1 stars, last pushed 1mo ago), licensed MIT. It adds 92 tokens to every session and 656 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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