lark-invoice-bot@1.0.0
CAUTION· static onlyPublisher claims: "飞书发票识别→费用报销机器人管理技能。用于启动、停止、监控基于飞书CLI+Python OCR的发票报销Agent。 当用户需要管理发票识别机器人、调试OCR、修改配置、查看审批模板时使用。 触发关键词:发票机器人、费用报销bot、lark invoice、invoice bot、发票OCR测试、报销配置" 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.
Is [email protected] safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-15 and scored it 59/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Notable findings: Access to sensitive file paths; Access to sensitive file paths; Access to sensitive file paths. 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
| 修改配置 | 编辑 `$BOT_DIR/.env` |Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out."""查看或修改 .env 配置"""Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.- **飞书 CLI**: `npm install -g @larksuite/cli` + `npx skills add larksuite/cli -y -g`Fix: Pin versions and sources; vendor anything fetched at install time.subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.ENV_FILE = BOT_DIR / ".env"Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.if subprocess.run(["which", "tmux"], capture_output=True).returncode == 0:Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.npx skills add larksuite/cli -y -gFix: Pin versions and sources; vendor anything fetched at install time.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.主要配置文件:`$BOT_DIR/.env`Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.print(f"⚠️ .env 文件不存在: {ENV_FILE}")Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.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
21 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim wuhaorui: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
- Access to sensitive file paths≈ +4 on the totalStop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
- Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
- npx invocation of non-well-known package≈ +2 on the totalPin versions and sources; vendor anything fetched at install time.