giz-livre@r1
CAUTION· static onlyPublisher claims: "Lets an AI agent prepare lessons in Giz Livre, a free offline digital whiteboard for teachers: create boards and add text, notes, shapes, LaTeX formulas and charts. It never deletes anything." 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 nist.gov, rsc.org, iupac.org, microsoft.com, tauri.localhost, exemplo.com, python.org, openssl.org — 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 giz-livre@r1 safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-13 and scored it 62/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Notable findings: README links to an external installer. 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
subprocess.Popen(["open" if MAC else "xdg-open", str(pasta)], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=texto,Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.r = subprocess.run([str(pacote / "python" / "python.exe"), "-c",Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.proc = subprocess.Popen([sys.executable, str(ROOT / "mcp" / "giz_livre_mcp.py"), "--dados", self.temp.name,Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.https://github.com/HeraldoAntunes/giz-livre/releases/download/v1.17.3/Instalar-GizLivre-1.17.3.zipFix: Pin versions and sources; vendor anything fetched at install time.subprocess.run(["taskkill", "/IM", "POWERPNT.EXE", "/F"], capture_output=True,Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.r = subprocess.run(["tasklist", "/FI", "IMAGENAME eq POWERPNT.EXE", "/NH"], capture_output=True, text=True,Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.proc = subprocess.Popen([sys.executable, str(ROOT / "mcp" / "giz_livre_mcp.py"), "--dados", self.temp.name,Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.meta = json.loads(subprocess.run(["cargo", "metadata", "--format-version", "1", "--filter-platform",Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.subprocess.run(cmd, cwd=RAIZ / "janela", env=env, check=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.return subprocess.run(["powershell.exe", "-NoProfile", "-NonInteractive", "-ExecutionPolicy", "Bypass",Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.…pa('8. Trava do quadro aberto'); await avaliar(`fetch('/api/info').then(r => r.json()).then(i => fetch('/api/ping', { method: 'POST', headers: { 'X-Lousa': i.token, 'Content-Type': 'application/json' }, body: JS…Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.cls.proc = subprocess.Popen([sys.executable, str(ROOT / "server.py"), "--sem-janela",Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.cls.proc = subprocess.Popen([sys.executable, str(ROOT / "server.py"), "--sem-janela",Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.proc = subprocess.Popen([sys.executable, str(ROOT / "mcp" / "giz_livre_mcp.py"), "--dados", self.temp.name,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. 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
18 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim heraldoantunes: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
- README links to an external installer≈ +4 on the totalPin versions and sources; vendor anything fetched at install time.
- Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
- 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.