gne@0.3.4
CAUTION· static onlyPublisher claims: "Enables agents to query and rank MLP neurons of GGUF models on llama.cpp, steer them, run background jobs, and highlight or annotate neurons in an open web UI." Observed in sandbox: static analysis only — behavior not yet observed.
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
- no credential variables read in the code
- Where it talks to
- no vendor host named in the codeAlso huggingface.co, modal.com — not the publisher's domain; check what for before connecting.
- 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 2026-11-13 and scored it 63/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Notable findings: Latin word with Cyrillic or Greek look-alike letters (homoglyph); Latin word with Cyrillic or Greek look-alike letters (homoglyph); Latin word with Cyrillic or Greek look-alike letters (homoglyph). Summary: static analysis only — behavior not yet observed.
Behavior trace
Queued for honeypot run · static analysis onlyThis 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
κᵀxFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.κᵀxFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.κᵀxFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.κᵀxFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.κᵀxFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μᵀkFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.κᵀμFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.κᵀμFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.κᵀxFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μᵀkFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.κᵀμFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.code = subprocess.call(cmd)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.proc = subprocess.Popen([exe, *args], env={**os.environ, "GNE_SSH_PUB": client_pub, "GNE_SSH_HOST_KEY": host_key},Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.subprocess.run(["ssh-keygen", "-q", "-t", "ed25519", "-N", "", "-C", "gne-modal", "-f", str(work / name)], check=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.μᵀkFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.レシピは「性格が変わった」だけでは配れない。どれだけ変わったか(persona)と、どれだけ壊れたか(exact / format / ppl / mix)を、Fix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.p = subprocess.Popen([gne, "--n-gpu-layers", "0", "serve", "-m", str(MODEL), "--root", str(tmp_path / "root"), "--port", str(port)],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.κᵀxFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.κᵀhFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.p = subprocess.run(cmd, capture_output=True, text=True, timeout=300, env=env)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.{% for m in messages %}<|im_start|>{{ m.role }}Fix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.ssh = subprocess.Popen(ssh_args(want[0], want[1], key, known, port))Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.if subprocess.run([exe, "app", "stop", "-y", app_id], capture_output=True).returncode:Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.return subprocess.run(["nvidia-smi", "--query-gpu=name,memory.total", "--format=csv,noheader"],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.p = subprocess.run([python, str(script), "--model", model_dir, "--request", str(rq), "--out", str(rs)],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.self.p = subprocess.Popen(self.cmd, stdout=subprocess.DEVNULL, stderr=f, preexec_fn=_die_with_parent)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.p = subprocess.run(cmd, capture_output=True, text=True, check=False, cwd=cwd)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.subprocess.run(["cp", "--reflink=auto", str(src), str(tmp)], check=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.κᵀxFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.κᵀxFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μᵀkFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.κᵀxFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.r = subprocess.run([sys.executable, "-m", "gne.bench_grade"], input=json.dumps(rows), capture_output=True, text=True, timeout=timeout, check=False)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.subprocess.run(["cp", "--reflink=auto", str(weights.path), str(dst)], check=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.κᵀxFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.{% endfor %}{% if add_generation_prompt %}<|im_start|>assistantFix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.κᵀhFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.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.
What would make this Verified
17 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim balaena01: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
- Destructive file system command detected≈ +4 on the totalPut hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.
- Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.