Security audit

senseaudio的tts工具，根据用户需求生成文案完成配音

Security checks for vulnerabilities and agentic risk

Overview

The skill does what it claims by sending text to SenseAudio for speech generation, but it has under-scoped credential and dependency risks users should review before installing.

Install only if you are comfortable sending synthesis text to SenseAudio and using a SenseAudio API key. Before use, keep SENSEAUDIO_API_BASE unset or fixed to https://api.senseaudio.cn, and avoid running the skill in an environment where automatic pip installation could modify shared or privileged Python state. A safer version would remove runtime pip install behavior and validate the API base against an official allowlist.

A.I.G

Vulnerability Patterns

Insecure DependenciesIntroduces malicious components through unsafe dependency sources
Insecure Skill Coding PracticesFinds exploitable flaws such as hardcoded secrets or command injection
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

Findings (2)

T09 · Insecure Skill Coding Practices

Error

Location: scripts/main.py:108
Finding: Configurable API Endpoint Can Exfiltrate the API Key and User Text
Content: View full analysis
bool: return bool(self.api_key) @property def headers(self) -> Dict[str, str]: if not self.api_key: raise APIError(_missing_key_message()) return { "Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json", } def _post(self, payload: Dict[str, Any], stream: bool = False, timeout: int = 120) -> requests.Response: try: response = requests.post( self.api_url, headers=self.headers, json=payload, stream=stream, timeout=timeout, ) ``` ### Technical Analysis The script accepts `SENSEAUDIO_API_BASE` without validating its scheme or hostname. It then constructs the request URL from that value and sends an `Authorization: Bearer` header containing `SENSEAUDIO_API_KEY`. For synthesis operations, the JSON request body also includes the complete user-provided text and synthesis parameters. Consequently, a modified environment or untrusted runtime configuration can redirect authentication and synthesis requests to an attacker-controlled endpoint. Sending the API key and user text to the default official SenseAudio endpoint is necessary for the declared remote TTS functionality. Allowing those values to be sent to an arbitrary endpoint is not necessary and vio ...[truncated 1188 chars]
Remediation: View remediation

T08 · Insecure Dependencies

Warning

Location: scripts/main.py:24
Finding: Automatic Installation of an Unpinned Runtime Dependency
Content: View full analysis
None: pip_name = pip_name or import_name try: importlib.import_module(import_name) return except ImportError: print(f"缺少 {pip_name}，正在自动安装...", file=sys.stderr) result = subprocess.run( [sys.executable, "-m", "pip", "install", pip_name], text=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, ) if result.returncode != 0: raise RuntimeError( f"自动安装 {pip_name} 失败，请手动执行: {sys.executable} -m pip install {pip_name}\n" f"stderr:\n{result.stderr.strip()}" ) try: importlib.import_module(import_name) except ImportError as exc: raise RuntimeError(f"已安装 {pip_name}，但仍无法导入 {import_name}。") from exc ensure_python_package("requests") import requests ``` ### Technical Analysis When `requests` is unavailable, the script automatically executes: ```bash python -m pip install requests ``` The package has no pinned version or integrity hash. Resolution therefore depends on the active pip configuration, configured package index, network state, and the latest package version available at execution time. This modifies the Python environment merely by starting the script, including commands such as `list-voices` that do not need network access. The behavior is also not disclosed in `SKILL.md`. Although the dependency name is a fixed legitimate package name rather than user input, an untrusted package index, compromised upstream release, or altered pip configuration can cause unreviewed code to be installed and subsequently imported. ### Attack Path 1. The runtime environment does not already contain the `requests` module. 2. An attacker compromises or con ...[truncated 1093 chars]
Remediation: View remediation

SkillSpector

Vulnerability Patterns

Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
Behavioral ASTexec() Call, eval() Call, Dynamic Import

Findings (12)

Ae1

High

Category: analysis-evasion
Confidence: 100% confidence
Finding: Referenced artifact was not completely inspected
Content: Scanner excerpt · SKILL.md (reported line 140)May include surrounding context.
md
本 Skill 的脚本位于 `SKILL.md` 同级的 `scripts/` 目录中。

Ae1

High

Category: analysis-evasion
Confidence: 100% confidence
Finding: Referenced artifact was not completely inspected
Content: Scanner excerpt · SKILL.md (reported line 143)May include surrounding context.
md
本 Skill 的脚本位于 `SKILL.md` 同级的 `scripts/` 目录中。

Ae1

High

Category: analysis-evasion
Confidence: 100% confidence
Finding: Referenced artifact was not completely inspected
Content: Scanner excerpt · SKILL.md (reported line 143)May include surrounding context.
md
if [ -f "./SKILL.md" ] && [ -f "./scripts/main.py" ] && grep -q "senseaudio-tts" "./SKILL.md"; then

Ae1

High

Category: analysis-evasion
Confidence: 100% confidence
Finding: Referenced artifact was not completely inspected
Content: Scanner excerpt · SKILL.md (reported line 319)May include surrounding context.
md
if [ -f "./SKILL.md" ] && [ -f "./scripts/main.py" ] && grep -q "senseaudio-tts" "./SKILL.md"; then

Undeclared Tool Scope

Medium

Category: MCP Least Privilege
Confidence: 95% confidence
Finding: The skill performs sensitive operations—reading environment variables, invoking shell commands, making network requests, and writing files—but does not declare an explicit tool/permission scope. This increases the chance that an agent runtime grants broader capabilities than users expect, weakening least-privilege controls and making misuse or prompt-induced overreach more likely.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

Category: Not specified by scanner
Confidence: 94% confidence
Finding: The manifest description says the skill should trigger when the user says several Chinese phrases, and the rest of the document is written as Chinese operational guidance. This imposes a language-specific interaction pattern without any opt-in, multilingual alternative, or explanation that the skill is intentionally limited to a Chinese-only compliance or regional context.
Content: No source excerpt is available for this finding.

External Transmission

Medium

Category: Data Exfiltration
Confidence: 50% confidence
Finding: Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
Content: Scanner excerpt · SKILL.md (reported line 160)May include surrounding context.
md
本 Skill 默认基于以下官方能力： - 接口地址：`POST https://api.senseaudio.cn/v1/t2a_v2` - 鉴权方式：`Authorization: Bearer API_KEY` - 模型：`senseaudio-tts-1.5-260319` - 支持文本最大长度：`10000` 字符

Context-Inappropriate Capability

Medium

Category: Not specified by scanner
Confidence: 97% confidence
Finding: A text-to-speech CLI should not need to modify the host environment by installing Python packages during execution. This behavior creates supply-chain risk, breaks reproducibility, and may execute attacker-controlled or tampered package code if the package source or environment is compromised.
Content: No source excerpt is available for this finding.

Missing User Warnings

Medium

Category: Not specified by scanner
Confidence: 96% confidence
Finding: The skill runs pip automatically without explicit user approval at the moment of execution. Silent dependency installation can surprise operators, bypass change-control expectations, and cause arbitrary third-party code to be fetched and executed on systems where the skill is merely expected to synthesize audio.
Content: No source excerpt is available for this finding.

subprocess module call

Medium

Category: Dangerous Code Execution
Confidence: 94% confidence
Finding: The code invokes pip at runtime to install a package automatically when imports fail. Although the subprocess call is not shell-injected here, it still enables unreviewed code retrieval and execution from package indexes during normal skill operation, which expands the attack surface and can lead to supply-chain compromise or unexpected environment mutation.
Content: Scanner excerpt · scripts/main.py (reported line 38)May include surrounding context.
python
except ImportError: print(f"缺少 {pip_name}，正在自动安装...", file=sys.stderr) result = subprocess.run( [sys.executable, "-m", "pip", "install", pip_name], text=True, stdout=subprocess.PIPE,

External Transmission

Medium

Category: Data Exfiltration
Confidence: 80% confidence
Finding: Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
Content: Scanner excerpt · scripts/main.py (reported line 121)May include surrounding context.
python
def _post(self, payload: Dict[str, Any], stream: bool = False, timeout: int = 120) -> requests.Response: try: response = requests.post( self.api_url, headers=self.headers, json=payload,

Natural-Language Policy Violations

Low

Category: Not specified by scanner
Confidence: 82% confidence
Finding: The module docstring and user-facing help text are presented in Chinese only, which effectively forces a specific language for interaction without indicating user choice or opt-in. This can violate language or locale policy where tools are expected to be language-neutral or offer alternatives.
Content: No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.