mcp-feedback-pro@2.12.2
VERIFIED· not startedPublisher claims: "Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility." 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-pro` 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 84/100 (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('🖱️ 觸發檔案選擇:', fileInput.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.console.log('✅ FileUploadManager 事件委託設置完成');Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why."del /f",Fix: Build commands from fixed arguments; do not interpolate untrusted strings into a shell.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.console.log('✅ PromptInputButtons 初始化完成,成功綁定', successCount, '組按鈕');Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.<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('🔘 PromptInputButtons 初始化完成');Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.console.log('⚙️ FileUploadManager 設定已更新:', {Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.result = subprocess.run(cmd, cwd=cwd, capture_output=True, text=True, check=False)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.self.app_handle = subprocess.Popen(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.console.log('📁 FileUploadManager 初始化完成');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.console.log('🗑️ PromptInputButtons 已銷毀');Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.console.log('✅ PromptInputButtons 模組載入完成');Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.console.log('🧹 FileUploadManager 資源已清理');Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.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-pro@2.12.2 as of 7d ago. This is the package itself, not its dependencies.