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Verdict L402
io.github.jeannicolasdavid1979/verdictl402 · v0.2.2
New (7 days)Instruction-like text in descriptions
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Not declared (tools carry no read/destructive hints) |
| Capabilities declared | tools |
| Tool definitions | 4 tools · with description 100% · input schema is an object 100% · read/destructive hints 0% |
Instruction-like text was found in verdict_command_gate, verdict_guard. This is a pattern match, not a verdict. What we look for
Description written by the publisher, not verified
Ask if an action is safe before your agent runs it: injection, shell, MCP installs. Free samples.
Connect
streamable-http · https://verdict.kechlab.com/mcp
claude mcp add --transport http verdictl402 https://verdict.kechlab.com/mcp{
"mcpServers": {
"verdictl402": {
"url": "https://verdict.kechlab.com/mcp"
}
}
}Tools as reported by the server
verdict_guardFree sample. Before your agent reads untrusted text (web page, email, document, tool output), check it for prompt injection, data exfiltration requests, secrets and toxic content. Returns allow, review or block with scores and reasons. Use it on text you did not write. Do not use it to judge an activerdict_command_gateFree sample. Before a coding agent runs a shell command, ask whether to allow, review or block it: root deletion, download and run, privilege escalation, secret exfiltration. Pass the human intent when you know it. Not a sandbox: it reads the command, it does not run it.verdict_mcp_vetFree sample. Before installing an MCP server, skill or tool: is its description poisoned (hidden orders to the agent, excessive permissions, look-alike names)? Returns allow, review or block with reasons.verdict_firewallFree sample. Before an agent acts on untrusted content (pay, send, delete, click, reply), give the human goal, the content it read and the action it proposes. Returns allow, review or block: it catches actions that follow orders hidden in the content.
Website · JSON · Text for agents · Registry updated 2026-10-20