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Security audit

Video Multi-Platform Publish

Security checks for vulnerabilities and agentic risk

Overview

The skill appears to be a local video clipping demo, but it materially overstates real publishing, analytics, and automation capabilities.

Treat this as a local video transcoding and publishing simulation tool, not a real multi-platform publisher. Do not rely on it for actual uploads or analytics, and do not provide platform credentials unless a future version clearly documents authenticated APIs, per-platform consent, and data-sharing behavior.

Vulnerability Patterns
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs
Vulnerability Patterns
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Behavioral ASTexec() Call, eval() Call, Dynamic Import
Findings (16)

Tp4

High
Category
MCP Tool Poisoning
Confidence
97% confidence
Finding

The declared description overstates the implementation. The clipping/transcoding portion substantially matches the claim of automatic platform-format clipping. However, the core claim of multi-platform publishing is inaccurate: publish_video only prints messages and marks success as simulated, with no API calls, authentication, browser automation, or network interaction to actually publish content. The claimed intelligent optimization/recommendation features are also not implemented as intelligence; title handling is just length truncation, tags are fixed per platform, and publish times are static constants. Additionally, the clipping stage outputs files named '.mp4', while the publishing stage looks for 'video.mp4', so the supposed full workflow will fail to find the generated files. This is a material description-to-behavior mismatch.

Content

No source excerpt is available for this finding.

Undeclared Tool Scope

Medium
Category
MCP Least Privilege
Confidence
92% confidence
Finding

The skill documentation advertises shell-based execution patterns such as running Python scripts and installing dependencies, but the skill metadata does not declare any tool scope or allowed-tools. In an agent environment, this can cause users or orchestrators to invoke shell access without explicit authorization boundaries, increasing the chance of unintended command execution.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill promotes multi-platform publishing and analytics collection without clearly warning that content, metadata, and possibly account-linked information may be sent to third-party platforms. That omission can cause users to trigger external posting or data sharing without informed consent, especially in an automated agent context.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The usage examples show direct commands and API calls that appear to publish content immediately, but they do not warn that the actions may create public posts on external platforms. In an automation setting, example-driven execution can lead to accidental disclosure, reputation damage, or unintended publication of sensitive media.

Content

No source excerpt is available for this finding.

Sudo/Root Execution

Medium
Category
Privilege Escalation
Confidence
70% confidence
Finding

Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.

Content

Scanner excerpt · SKILL.md (reported line 410)May include surrounding context.

Install ffmpeg

winget install ffmpeg # Windows brew install ffmpeg # macOS sudo apt-get install ffmpeg # Linux

text

---

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The skill advertises one-click publishing, cross-platform sync, and analytics tracking, but does not disclose that it may require platform credentials, transmit content to third parties, or perform external account actions. This is dangerous because users may invoke the skill without understanding the scope of account access, data sharing, and potentially irreversible publishing operations across multiple services.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
84% confidence
Finding

The trigger keywords are broad enough to match common user requests about publishing or video workflows, which can cause this skill to activate in contexts where the user did not explicitly intend cross-platform publishing actions. In a skill that can prepare content for external platforms and potentially interact with publishing workflows, overbroad activation increases the risk of unintended data handling or external-side effects.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

This code file contains user-facing natural-language descriptions and console output in Chinese, starting with the module docstring and continuing throughout the CLI experience. The skill does not offer any language or locale selection, which can violate a policy requiring user opt-in before forcing a specific language.

Content

No source excerpt is available for this finding.

subprocess module call

Medium
Category
Dangerous Code Execution
Confidence
70% confidence
Finding

subprocess module calls execute external commands. Without careful input validation, this enables command injection.

Content

Scanner excerpt · scripts/video_multi_publish.py (reported line 96)May include surrounding context.

python
def check_ffmpeg():
    """检查 ffmpeg 是否安装"""
    try:
        subprocess.run(['ffmpeg', '-version'], capture_output=True, check=True)
        return True
    except (subprocess.CalledProcessError, FileNotFoundError):
        return False

subprocess module call

Medium
Category
Dangerous Code Execution
Confidence
70% confidence
Finding

subprocess module calls execute external commands. Without careful input validation, this enables command injection.

Content

Scanner excerpt · scripts/video_multi_publish.py (reported line 113)May include surrounding context.

python
]
    
    try:
        result = subprocess.run(cmd, capture_output=True, text=True, check=True)
        info = {}
        for line in result.stdout.strip().split('\n'):
            if '=' in line:

subprocess module call

Medium
Category
Dangerous Code Execution
Confidence
70% confidence
Finding

subprocess module calls execute external commands. Without careful input validation, this enables command injection.

Content

Scanner excerpt · scripts/video_multi_publish.py (reported line 177)May include surrounding context.

python
# 执行
    print(f"  🎬 剪辑 {platform_info['name']} 版本...")
    try:
        subprocess.run(cmd, check=True, capture_output=True)
        print(f"  ✅ {platform_info['name']} 版本完成")
        return True
    except subprocess.CalledProcessError as e:

Description-Behavior Mismatch

Medium
Category
Not specified by scanner
Confidence
98% confidence
Finding

The manifest describes 'one-click publishing' to WeChat, Bilibili, Xiaohongshu, Douyin, YouTube, TikTok and more, implying actual publication to external platforms. However, the implementation explicitly labels publishing as simulated, only prints metadata and success messages, and performs no network/API interaction with any platform.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The function is documented as '发布视频到平台 (模拟)', but the surrounding behavior still prints '发布成功' for each platform without any actual upload or API call. This creates intent-level confusion because the tool presents simulated actions as completed platform publications.

Content

No source excerpt is available for this finding.

Sudo/Root Execution

Medium
Category
Privilege Escalation
Confidence
70% confidence
Finding

Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.

Content

Scanner excerpt · scripts/video_multi_publish.py (reported line 304)May include surrounding context.

python
print("\n请安装 ffmpeg:")
        print("Windows: winget install ffmpeg")
        print("macOS: brew install ffmpeg")
        print("Linux: sudo apt-get install ffmpeg")
        sys.exit(1)
    
    # 检查输入文件

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
81% confidence
Finding

The document presents core workflow instructions primarily in Chinese while also including some English headings and examples, but it does not state that the skill is intended only for Chinese-speaking users or offer language selection. Under the policy, forcing a specific language without opt-in can be a natural-language policy concern unless the locale limitation is clearly documented and justified.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
87% confidence
Finding

Natural-language policy review applies to all file types, including manifests. The user-facing description is presented only in Chinese, while the file otherwise mixes English identifiers, and it does not indicate that the skill is region-specific or offer language selection.

Content

No source excerpt is available for this finding.