Scan Report
20 /100
secretary-core
智能助理核心技能,支持20轮对话上下文、情感识别、主动提醒、日程管理,集成飞书/钉钉/企业微信
Benign AI assistant skill with clean code but notable doc-to-implementation mismatch - declares multi-platform integration features without corresponding implementation code.
Safe to install
The skill is safe for use but requires clarification on missing platform integration implementations before production deployment.
Findings 3 items
| Severity | Finding | Location |
|---|---|---|
| Low | Multi-platform integration declared but not implemented Doc Mismatch | SKILL.md:13 |
| Low | File structure mismatch Doc Mismatch | SKILL.md:310 |
| Low | Unpinned dependency version Supply Chain | requirements.txt:1 |
| Resource | Declared | Inferred | Status | Evidence |
|---|---|---|---|---|
| Filesystem | NONE | NONE | — | All implementations use in-memory storage only; no file read/write operations |
| Network | READ (API integrations) | NONE | ✗ Violation | SKILL.md declares Feishu/DingTalk/WeChat integrations but no network requests ex… |
| Shell | NONE | NONE | — | No subprocess, os.system, or shell command execution found |
| Environment | READ (API tokens) | NONE | ✗ Violation | SKILL.md requires FEISHU_BOT_TOKEN etc. but code never accesses os.environ or an… |
| Skill Invoke | NONE | NONE | — | No cross-skill invocation patterns detected |
| Clipboard | NONE | NONE | — | No clipboard access found |
| Browser | NONE | NONE | — | No browser automation detected |
| Database | NONE | NONE | — | No database connections found |
2 findings
Medium External URL 外部 URL
https://clawhub.com/skill/secretary-core README.md:205 Medium External URL 外部 URL
https://secretary-core.readthedocs.io/ SKILL.md:414 File Tree
12 files · 83.6 KB · 2948 lines Python 5f · 1566L
Markdown 5f · 1373L
JSON 1f · 8L
Text 1f · 1L
├─
clawhub.json
JSON
├─
CONTEXT_MANAGER.md
Markdown
├─
INTENT_UNDERSTANDING.md
Markdown
├─
README.md
Markdown
├─
RELEASE-v3.0.0.md
Markdown
├─
requirements.txt
Text
├─
secretary_efficiency_v1.py
⚠
Python
├─
secretary_v1.5.py
⚠
Python
├─
secretary_v2.1_adaptive.py
⚠
Python
├─
secretary_v2.py
⚠
Python
├─
secretary_v3.0.0.py
⚠
Python
└─
SKILL.md
Markdown
Dependencies 1 items
| Package | Version | Source | Known Vulns | Notes |
|---|---|---|---|---|
numpy | >=1.20.0 | pip | No | Version not pinned; only dependency, minimal supply chain risk |
Security Positives
✓ No shell execution, subprocess, or system command invocation detected
✓ No credential harvesting or environment variable reading for exfiltration
✓ No network requests to external IPs or C2 infrastructure
✓ No base64 encoding, obfuscation, or anti-analysis techniques
✓ No sensitive file path access (~/.ssh, ~/.aws, .env files)
✓ No reverse shell, C2 communication, or data exfiltration patterns
✓ No hidden functionality in HTML comments or disguised payloads
✓ Clean Python code with standard library usage (json, re, datetime, dataclasses, enum)
✓ All data processing is in-memory with no persistence or file writes
✓ No prompt injection or jailbreak instructions found