utter@r1
VERIFIED· install onlyPublisher claims: "Provides read-only access to what you have dictated and what was said in your recorded meetings, so coding agents like Codex, Claude Code, Pi or LM Studio can search your local transcripts and notes." Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Nothing executable in the bundle ran; the trace covers the install step only.- Tested
- every file read, file written and host contacted by what ran
- Not tested
- use of the skill by an agent
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
- It will ask for
NEBIUS_API_KEYConfiguration, not credentials: NEBIUS_NANO_MODEL, NEBIUS_ULTRA_MODEL, UTTER_MCP_CLIENT, UTTER_NOTES_DB, UTTER_STATE_DIR- Where it talks to
- no vendor host named in the codeAlso microsoft.com, google.com, lmstudio.ai, nebius.com — not the publisher's domain; check what for before connecting.
- What the honeypot saw
- no credential files read · no network
- What we could not test
- use of the skill by an agent
Connect it with a scoped credential, under the guard, and read the third-party hosts first. The code names microsoft.com, google.com, lmstudio.ai, nebius.com as well as its own vendor. The guard injects NEBIUS_API_KEY only into requests to the host you bind (and its subdomains) and refuses the rest.
Never paste a credential into a chat, a ticket or a report, including ours. How the guard holds it.
Is utter@r1 safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-13 and scored it 86/100 (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 · 1 scenarios · 0 deviationsStatic findings
return subprocess.run(command, cwd=ROOT, creationflags=_NO_WINDOW, timeout=120,Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.config.write_text(json.dumps({'mcpServers': {'other': {'url': 'https://x'}}}))Fix: Namespace tool names and keep tool descriptions literal; no instructions to the agent inside them.result = subprocess.run([str(LMS), 'ps', '--json'], capture_output=True, text=True, encoding='utf-8',Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.self.process = subprocess.Popen([codex, 'app-server'], cwd=self.cwd, env=env, stdin=subprocess.PIPE,Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.EDGE_MEET = ('msedge.exe', 'Meet - abc-defg-hij and 6 more pages - Personal - Microsoft Edge')Fix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.result = subprocess.run([str(lms), 'server', 'start'], capture_output=True, text=True, timeout=90,Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.return subprocess.Popen(command, cwd=ROOT, creationflags=_NO_WINDOW)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.subprocess.Popen([shutil.which('ollama'), 'serve'], creationflags=flags, stdin=subprocess.DEVNULL,Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.raw = subprocess.run(['ffmpeg', '-v', 'error', '-i', str(path), '-ac', '1', '-ar', '16000', '-f', 'f32le', '-'],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.out = subprocess.run(['wevtutil', 'qe', 'Microsoft-Windows-Audio/Operational',Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.subprocess.run(['powershell', '-NoProfile', '-Command', script], check=True, capture_output=True,Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.out = subprocess.run(['nvidia-smi', '--query-gpu=memory.used,memory.total', '--format=csv,noheader,nounits'],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.self.assertEqual(json.loads(config.read_text())['mcpServers'], {'other': {'url': 'https://x'}})Fix: Namespace tool names and keep tool descriptions literal; no instructions to the agent inside them.Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.