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meeting-minutes-retriever
Read meeting minutes or notes from a local file path or URL, or inspect a local meeting-notes directory and report the file count plus file list.
A legitimate meeting minutes retriever skill that uses declared subprocess calls for directory listing and local file/URL reading with no malicious behavior detected.
可以安装
Approve for use. Consider pinning the requests library version for supply chain hygiene.
安全发现 2 项
| 严重性 | 安全发现 | 位置 |
|---|---|---|
| 低危 | Unpinned requests dependency 供应链 | scripts/read_meeting_data.py:7 |
| 低危 | SKILL.md frontmatter lacks explicit allowed-tools declaration 文档欺骗 | SKILL.md:1 |
| 资源类型 | 声明权限 | 推断权限 | 状态 | 证据 |
|---|---|---|---|---|
| 文件系统 | READ | READ | ✓ 一致 | SKILL.md declares local file reading; read_meeting_data.py implements os.path.ab… |
| 网络访问 | READ | READ | ✓ 一致 | SKILL.md declares URL fetching; read_meeting_data.py implements requests.get() |
| 命令执行 | WRITE | WRITE | ✓ 一致 | SKILL.md declares OS-appropriate system commands; list_meeting_files.py uses sub… |
| 环境变量 | NONE | NONE | — | No os.environ access observed |
| 剪贴板 | NONE | NONE | — | No clipboard access |
| 浏览器 | NONE | NONE | — | No browser automation |
| 数据库 | NONE | NONE | — | No database access |
| 技能调用 | NONE | NONE | — | No cross-skill invocation |
目录结构
6 文件 · 10.9 KB · 271 行 Python 2f · 186L
Markdown 1f · 79L
YAML 1f · 4L
Text 2f · 2L
├─
▾
agents
│ └─
openai.yaml
YAML
├─
▾
scripts
│ ├─
list_meeting_files.py
Python
│ └─
read_meeting_data.py
Python
├─
sample_meeting_gbk.txt
Text
├─
sample_meeting.txt
Text
└─
SKILL.md
Markdown
依赖分析 1 项
| 包名 | 版本 | 来源 | 已知漏洞 | 备注 |
|---|---|---|---|---|
requests | * | pip | 否 | Version not pinned; import in scripts/read_meeting_data.py |
安全亮点
✓ Subprocess calls are limited to OS-native file listing commands (find/PowerShell) with no arbitrary command execution
✓ File and URL reading returns data only to the caller, with no exfiltration
✓ No credential harvesting or sensitive path access detected
✓ No obfuscation, base64 encoding, or hidden instructions
✓ Multi-encoding fallback for local file reading is a good robustness practice
✓ Error messages are user-friendly and do not leak system internals
✓ Documentation accurately describes the tool's actual behavior with no mismatches
✓ Subprocess usage is declared in SKILL.md under the Tool Contract section