Skills/PyPI/mnemo-brain-mcp

mnemo-brain-mcp@0.1.0

CAUTION· static only

Publisher claims: "MCP bridge for the Mnemo second brain — query your LightRAG-backed knowledge graph from Claude Code, Cursor, Cline, and other MCP-compatible AI tools." Observed in sandbox: static analysis only — behavior not yet observed.

Registry PyPI (MCP server)Publisher komrxn · publishing for 190 daysInstalls 15Last detonated 3d ago

Coverage

Static only; nothing was run yet.

The label rests on the code, the instruction files and the publisher. The honeypot run replaces this verdict when it completes.

Before you give it your token

It will ask for
LIGHTRAG_API_KEYConfiguration, not credentials: LIGHTRAG_BASE_URL, LIGHTRAG_TIMEOUT
Where it talks to
no vendor host named in the code
What the honeypot saw
nothing has run yet
What we could not test
everything: the server has not run yet

Run it before you trust it. Nothing has run yet: the code was read, the server was not. `vet-skills try` runs this exact version in the honeypot in about a minute.

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 analysed it statically (a sandbox run is pending) on 2026-11-11 and scored it 66/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Summary: static analysis only — behavior not yet observed.

Behavior trace

Queued for honeypot run · static analysis only
t+CategoryObserved action

This version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.

Static findings

MEDIUM
Python subprocess execution detectedtests/test_runner.py:99 · Python subprocess execution detectedsubprocess.run([Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedtests/test_runner.py:57 · Python subprocess execution detectedresult = subprocess.run(cmd, cwd=Path(__file__).parent.parent)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
File type combined with upload actiontests/test_client.py:174 · File type combined with upload action — agent may exfiltrate local data filesupload_response = {"filename": "test.txt", "status": "uploaded"}Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.
AST07
MEDIUM
File type combined with upload actiontests/test_server.py:224 · File type combined with upload action — agent may exfiltrate local data filesmock_result = {"filename": "test.txt", "status": "uploaded"}Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.
AST07
MEDIUM
File type combined with upload actionsrc/mnemo_brain_mcp/client.py:267 · File type combined with upload action — agent may exfiltrate local data filesfile_source = f"{title}.txt" if title else "text_input.txt"Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.
AST07

Cost to the agent

Instructions loaded
≈75 tok
1 file · 23 in bundle

Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.

Known vulnerabilities

No advisories in OSV for mnemo-brain-mcp@0.1.0 as of 3d ago. This is the package itself, not its dependencies.

What would make this Verified

14 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%
  1. Unclaimed publisher≈ +8 on the totalClaim komrxn: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
  2. Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
  3. File type combined with upload action≈ +2 on the totalRemove the call, or declare the host in frontmatter and explain in the README what is sent and why.
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