Rlhf Feedback Loop

Name: Rlhf Feedback Loop
Author: IgorGanapolsky

by IgorGanapolskyversion 0.6.13i★ –iRuns on your computer

Registry nameio.github.IgorGanapolsky/rlhf-feedback-loop

Install

Overview

Description from the maker (original English)

RLHF feedback loop for AI agents. Capture signals, promote memories, block mistakes, export DPO.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "rlhf-feedback-loop": {
      "command": "npx",
      "args": [
        "-y",
        "rlhf-feedback-loop"
      ]
    }
  }
}

Run this in your terminal

claude mcp add rlhf-feedback-loop -- npx -y rlhf-feedback-loop

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "rlhf-feedback-loop": {
      "command": "npx",
      "args": [
        "-y",
        "rlhf-feedback-loop"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "rlhf-feedback-loop": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "rlhf-feedback-loop"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account IgorGanapolsky, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 18348 servers in this category
Published to the registry more recently than 3% of the other 18348 servers in this category
Basic checks equal to or better than 100% of the other 18348 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Rlhf Feedback Loop safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.6.13) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, 好縮 Short

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

ThumbGate 👍 👎

ThumbGate is the self-improving pre-action firewall for AI coding agents

AI coding agents repeat mistakes — and one wrong tool call can wipe a directory, leak a key, or push broken code.

What it does

ThumbGate is the local-first Pre-Action Checks engine for AI coding agents. It runs in the PreToolUse hook to evaluate the proposed tool call before execution — so costly mistakes can be caught before they happen.

ThumbGate GitHub star growth is measured with GitHub's privacy-safe GET /repos/{owner}/{repo}/stargazers/history endpoint (weekly counts, no stargazer identities). Run npm run stars:history -- --fixture tests/fixtures/github-star-history.json --json for the local proof. Stars are not npm installs and not revenue. The live GitHub Marketplace Action is ThumbGate Agent Governance (uses: IgorGanapolsky/ThumbGate@v1).

Usage over star count. Evaluate ThumbGate from the install path and live usage badges above (npx thumbgate init, Marketplace uses:, npm weekly downloads, GitHub clones), not from whether the repo has twenty stars or twenty thousand. No pitch deck is required. We do not farm GitHub profile badges (no YOLO-merge of protected main, no 5-minute Issue close theater, no fake Co-authored-by). Galaxy Brain needs real accepted answers in Discussions Q&A. npm run github:achievements -- --fixture tests/fixtures/github-achievements.json --json inventories what is already earned vs what we refuse to farm.

Who it's for

ThumbGate is for operators whose AI coding agents can leak a secret or destroy a checkout before a human sees the tool call (Claude Code, Cursor, Codex, Gemini CLI, MCP). Discovery should reach those operators — not a star campaign.

ThumbGate is not a GitHub star package, not fake engagement, and not a substitute for npm installs or merged PRs. Real engagement is npx thumbgate init and a PreToolUse hook that actually fires.

Tech memes (shareable)

Lightweight visuals for how agents fail without a pre-action gate:

Meme	Meaning
	Unchecked tool calls ship destructive commands.
	A prompt is advice; a PreToolUse hook is enforcement.

It hard-blocks detected secret leaks and two direct self-disable command classes by default — commands that terminate the ThumbGate gate process or enable its bypass environment override. Other high-risk classes (rm -rf, force-push, fetch-and-run, direct guardrail edits) warn and log by default. Set THUMBGATE_STRICT_ENFORCEMENT=1 for strict enforcement (warnings become hard denies).

Verdict	Default behavior
⛔ Hard-block	Detected secret leaks; process-kill/environment-override self-disable
👎 Warn + log	`rm -rf`, `git push --force`, fetch-and-run, direct guardrail edits — warn by default
👍 Allow	Everything else

Accepted feedback is stored as local lessons. Repeated concrete failures can become prevention rules that promote from warnings to blocking gates. The firewall improves from operations without retraining the model. Prompt evaluation (npx thumbgate eval) turns accepted feedback into reusable eval cases and local proof reports.

Honest disclaimer: ThumbGate does not update model weights. It intercepts tool calls at runtime. Local-first — no cloud required for the enforcement path.

Works with Claude Code, Cursor, Codex, Gemini CLI, Amp, Cline, OpenCode, and other MCP agents.

  Agent tries:   rm -rf tests/

ThumbGate: 👎 WARN + LOG — "Never delete test directories" Pattern matched: rm.*-rf.*tests Source: your thumbs-down from last Tuesday Strict mode: ⛔ DENY before tool execution

Agentic development cycle fit

Agentic development is becoming a loop: Guide → Generate → Verify → Solve. ThumbGate is the pre-action gate / pre-action boundary between generated intent and executed action.

Quick Start

Want a phased walkthrough with a verify step at every stage? Follow the Progressive Setup Guide.

Progressive wiring — prove the pipe before you turn matching on. Empty dashboard is success.

npx thumbgate init          # Phase 1: hooks only

npx thumbgate doctor # verify: exits 0 only when PreToolUse hook is wired (hidden metric = hook install, not gate count) npx thumbgate dashboard --open # Phase 2: open local HTML; empty stats are OK npx thumbgate capture --feedback=down --context="Never run DROP on production tables" --what-went-wrong="agent proposed DROP" --what-to-change="require review for DROP"

Later DROP attempts in the same scope surface the check:

⚠️ Check fired: "Never run DROP on production tables"

Pattern: DROP.*production Verdict: 👎 WARN + LOG (⛔ BLOCK when THUMBGATE_STRICT_ENFORCEMENT=1)

Numbered configs: config/progressive/. Guide: progressive wiring.

MCP / Glama / registry install (stdio)

Directories and clients that install ThumbGate as an MCP server must start stdio MCP, not the HTTP API:

npx -y thumbgate serve

Equivalent: npx -y thumbgate mcp
Do not use npm start for MCP — that launches the hosted HTTP API (src/api/server.js), not the agent-facing stdio server.

▶ 90-second demo · GIF walkthrough

Install for your agent

Agent	Command	Enforcement
Claude Code	`npx thumbgate init --agent claude-code`	🛡️ Hard — PreToolUse
Codex	`npx thumbgate init --agent codex`	🛡️ Hard — `pre_tool_use`
Gemini CLI	`npx thumbgate init --agent gemini`	🛡️ Hard — PreToolUse
ForgeCode	`npx thumbgate init --agent forge`	🛡️ Hard — `pre_tool_use`
Cursor	`npx thumbgate init --agent cursor`	💬 Advisory — MCP `gate_check`
Cline	`npx thumbgate init --agent cline`	💬 Advisory — MCP + `.clinerules`
OpenCode	`npx thumbgate init --agent opencode`	💬 Advisory — MCP `gate_check`
Any MCP agent	`npx thumbgate serve`	💬 Advisory — MCP `gate_check`
Amp	`npx thumbgate init --agent amp`	📝 Feedback capture
GitHub Actions	`uses: IgorGanapolsky/ThumbGate@v1`	🩺 Marketplace Action — doctor / AI inventory in CI

Per-agent guides: Claude/Codex bridge · Codex profile · Cursor · MCP setup

Install scope: machine-wide vs per-project

Scope	Command	Settings	Lessons	Best for
Machine-wide (default)	`npx thumbgate init`	`~/.claude/settings.json`	`~/.claude/memory/feedback/`	Solo operators — same machine-local feedback store across repos
Per-project	`npx thumbgate init --project`	`/.claude/settings.json`	`/.claude/memory/feedback/`	Client / compliance — separate dashboard / isolated lessons per repo

Both scopes write mcpServers.thumbgate plus PreToolUse / UserPromptSubmit / PostToolUse / SessionStart hooks. Machine-wide is the right default for most developers. Cross-repo blocking is not automatic: a lesson learned in one project only applies elsewhere when you share the store (machine-wide) or export/import lessons.

MCP tools (surface): gate_check (read/evaluate proposed tool call), feedback capture + session tools (write), dashboard/stats (read). Destructive agent actions stay blocked/warned by PreToolUse — ThumbGate does not execute user shell commands for you.

Discoverable slash-commands — the guardrail layer for spec-driven agents

Spec-driven agent frameworks like GSD (get-shit-done) and GitHub Spec Kit plan and generate work. ThumbGate is the guardrail layer for spec-driven agents: it sits *after* the plan, on the boundary between a generated tool call and its execution — alongside GSD / Spec-Kit, not instead of them.

npx thumbgate init installs these into your agent palette:

Command	What it does
`/thumbgate-dashboard`	Open local project dashboard
`/thumbgate-guard`	Turn last mistake into a hard prevention rule
`/thumbgate-rules`	List active rules & lessons
`/thumbgate-blocked`	Gate stats + enforcement matrix
`/thumbgate-protect`	Branch governance + scoped approval
`/thumbgate-doctor`	Health-check hooks, MCP, readiness

Pricing & buyer paths

Free tier: 2 feedback captures/day (10 total) and up to 3 active auto-promoted prevention rules. Pro ($19/mo or $149/yr) is the individual tier for unlimited rules, history-aware lessons, linked feedback session flow, personal dashboard, and DPO export. Enterprise is custom and scoped after intake; hosted team lesson sync and a hosted org dashboard are not general availability.

	Free	Pro ($19/mo or $149/yr)	Enterprise
Local CLI + PreToolUse	✅	✅	Scoped after intake

| Feedback captures | 2 feedback captures/day (10 total) | Unlimited | S

Only the beginning is shown; read the rest in the repo

Rlhf Feedback Loop

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

好縮 Short

README from the maker

ThumbGate 👍 👎

What it does

Who it's for

Tech memes (shareable)

Agentic development cycle fit

Quick Start

MCP / Glama / registry install (stdio)

Install for your agent

Install scope: machine-wide vs per-project

Discoverable slash-commands — the guardrail layer for spec-driven agents

Pricing & buyer paths