mcp-feedback-enhanced-tuning-mbpr@2.4.3
VERIFIED· not startedPublisher claims: "Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual UI support (Qt GUI and Web UI) with intelligent environment detection and AI conversation end detection." Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Not started: dependency install failed; the server itself was not observed.- Tested
- the dependency install step · every file read, file written and host contacted by what ran
- Not tested
- server startup · the tool list · tool behavior
What this means for the label: Verified here covers what ran. The server's tools were not exercised with a real credential, so nothing about their behavior is asserted; the credential summary below says what to do with that.
Before you give it your token
Code inventory arrives with this version's next honeypot run.- It will ask for
- unknown until the next run
- Where it talks to
- unknown until the next run
- What the honeypot saw
- no credential files read · no network
- What we could not test
- server startup · the tool list · tool behavior
Not enough was observed to say yet. Not started: dependency install failed; the server itself was not observed. This version's code has not been inventoried for credentials and hosts either; both arrive with its next honeypot run (popular servers first). `vet-skills try mcp-feedback-enhanced-tuning-mbpr` runs it now and prints the full answer.
Never paste a credential into a chat, a ticket or a report, including ours. How the guard holds it.
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (2 scenarios; not started: dependency install failed; the server itself was not observed) on 2026-11-07 and scored it 89/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 2 scenarios · 0 deviationsStatic findings
console.log(`🖱️ 點擊上傳區域 - 觸發 input: ${targetInput.id}`);Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.result = subprocess.run(cmd, shell=True, cwd=cwd, capture_output=True, text=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.result = subprocess.run(cmd, capture_output=True, text=True, timeout=10)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.console.log(`🔍 檢查圖片元素 - imageUploadArea: ${this.imageUploadArea?.id || 'null'}, imageInput: ${this.imageInput?.id || 'null'}`);Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.result = subprocess.run(cmd, capture_output=True, text=True, timeout=10)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.self.command_process = subprocess.Popen(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.result = subprocess.run(cmd, shell=True, capture_output=True, text=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.console.log(`🧹 已移除 ${input.id} 的 change 事件監聽器`);Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.console.log(`📁 文件選擇事件觸發 - input: ${e.target.id}, files: ${e.target.files.length}`);Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.result = subprocess.run(cmd, capture_output=True, text=True, timeout=10)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.self.process = subprocess.Popen(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.<span data-i18n="images.settings.compatibilityHint">💡 圖片無法正確識別？</span> <button type="button" id="{{ id_prefix }}EnableBase64Hint" class="compatibility-hint-btnFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.console.log(`🖼️ 設置圖片事件監聽器 - imageInput: ${this.imageInput?.id}, imageUploadArea: ${this.imageUploadArea?.id}`);Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.self.process = subprocess.Popen(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.Cost to the agent
Tokens estimated at four characters each. The tool list is re-read by the agent on every turn, so it is the number to compare between servers that do the same job: ranked across the index.
Known vulnerabilities
No advisories in OSV for mcp-feedback-enhanced-tuning-mbpr@2.4.3 as of 7d ago. This is the package itself, not its dependencies.