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Security audit

uyghur-ai

Security checks for vulnerabilities and agentic risk

Overview

This skill is a disclosed Uyghur/Chinese language service that sends user-provided text or files to its API only for the requested translation, OCR, or writing task.

Install this only if you are comfortable sending requested Uyghur/Chinese text, documents, or images to the ai-skills.open-idea.net service or to any custom AI_SKILLS_API_URL you configure. Prefer the product-specific UYGHUR_AI_SKILL_API_KEY if you want tighter key isolation, and avoid submitting sensitive documents unless the service's data handling terms meet your needs.

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
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (8)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
84% confidence
Finding

The manifest description is written to activate when the user requests Uyghur translation or related tasks, but it frames the capability specifically around Chinese↔Uyghur handling rather than offering a broader language or locale choice. Under the policy rule, language constraints should be optional or clearly justified; no opt-in or justification is provided here.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The entire file is written as prescriptive behavior rules in Chinese, and there is no indication that users may choose another language or that the skill is limited to a Chinese-specific deployment context. Under the stated policy, forcing a specific language without opt-in is a natural-language locale violation.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The text states that the endpoint is used for Uyghur Q&A, explanation, polishing, summarization, and creative writing. This is a natural-language locale restriction, but the file does not offer an opt-in choice of language or explain why the locale limitation is required, which can violate language/locale policy requirements.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The entire skill description is written only in Chinese and does not indicate that users may select another language or that the locale restriction is intentional for a region-specific audience. Under the policy, forcing a specific language without user opt-in is a natural-language locale violation.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

This markdown file contains user-facing instructions and examples exclusively in Chinese. Under the policy rule for language/locale, forcing a specific language without user opt-in or documented justification is a natural-language policy violation.

Content

No source excerpt is available for this finding.

External Transmission

Medium
Category
Data Exfiltration
Confidence
86% confidence
Finding

The document instructs sending user content and uploaded files to an external service endpoint using bearer-token authenticated curl requests. In this skill context, external transmission is expected, but it still creates a real data-exposure boundary: sensitive text, PDFs, and images may leave the local environment and be processed by a third-party service, which is dangerous if users have not explicitly consented or if the data is logged, retained, or sent to an untrusted deployment.

Content

Scanner excerpt · references/HTTP-REQUESTS.md (reported line 6)May include surrounding context.

bash
API_ROOT="${AI_SKILLS_API_URL:-https://ai-skills.open-idea.net}/api/v1"

curl --fail-with-body "$API_ROOT/uyghur-ai/translation" \
  -H "Authorization: Bearer ${UYGHUR_AI_SKILL_API_KEY:-$AI_SKILLS_API_KEY}" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: uyghur-translate-001" \

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The file’s natural-language instructions and operational guidance are entirely in Chinese, and there is no indication that users may choose another language or that the skill is intentionally restricted to a Chinese-speaking audience. The policy requires flagging language or locale constraints when they are imposed without explicit opt-in or justification.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
82% confidence
Finding

The instructions mandate strict preservation of Arabic text direction and constrain output formatting for all translations, while the document is entirely scoped to Chinese/Uyghur translation only. This creates a locale/language constraint without any indication that users can opt into alternatives or that the restriction is justified as a documented policy exception.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.