ClawHub
Back to skill

Security audit

心理学文献检索助手

Security checks for vulnerabilities and agentic risk

Overview

This skill is a straightforward psychology literature search helper, with expected network calls to academic APIs and user-directed CSV/text exports.

Install only if you are comfortable sending search terms, and optionally an email address, to Semantic Scholar, OpenAlex, and CrossRef. Treat exported CSV files as untrusted when opening them in spreadsheet software; disable external content/macros and be cautious with suspicious links or formulas in metadata.

A.I.G

Vulnerability Patterns
  • 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
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
Findings (1)

T09 · Insecure Skill Coding Practices

Warning
Location
literature_search.py:228
Finding

CSV Formula Injection Through Untrusted Publication Metadata

Content
View full analysis
Remediation
View remediation

SkillSpector

Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (7)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

This code file contains natural-language descriptions and user-facing fields entirely in Chinese, including explicit emphasis on Chinese literature search and Chinese-formatted exports, without indicating that users can opt into another language. Under the policy rule, forcing a specific language or locale without user choice is a natural-language policy violation.

Content

No source excerpt is available for this finding.

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% 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 · literature_search.py (reported line 24)May include surrounding context.

python
class LiteratureSearch:
    """心理学文献检索器"""

    SEMANTIC_SCHOLAR_API = "https://api.semanticscholar.org/graph/v1"
    CROSSREF_API = "https://api.crossref.org/works"
    OPENALEX_API = "https://api.openalex.org/works"

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% 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 · literature_search.py (reported line 25)May include surrounding context.

python
"""心理学文献检索器"""

    SEMANTIC_SCHOLAR_API = "https://api.semanticscholar.org/graph/v1"
    CROSSREF_API = "https://api.crossref.org/works"
    OPENALEX_API = "https://api.openalex.org/works"

    def __init__(self, email: Optional[str] = None):

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% 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 · literature_search.py (reported line 26)May include surrounding context.

python
SEMANTIC_SCHOLAR_API = "https://api.semanticscholar.org/graph/v1"
    CROSSREF_API = "https://api.crossref.org/works"
    OPENALEX_API = "https://api.openalex.org/works"

    def __init__(self, email: Optional[str] = None):
        """

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
90% confidence
Finding

The entire skill documentation is written in Chinese and does not mention any language choice, opt-in, or region-specific constraint. Under the stated policy, forcing a specific language without user opt-in is a natural-language locale policy issue.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

The natural-language content of the skill is presented exclusively in Chinese, including headings, instructions, and usage guidance. Under the stated policy, forcing a specific language without user opt-in can be a locale/language policy violation unless the regional constraint is explicitly documented and justified.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
85% confidence
Finding

The manifest uses a Chinese-only title and description, which signals the skill is presented in a specific language without any opt-in or alternative locale indicated in the file. Under the policy rule for natural-language violations, this can be considered a language/locale restriction unless the skill explicitly offers a choice or documents a justified region-specific scope.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.