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Security audit

shift-scheduler

Security checks for vulnerabilities and agentic risk

Overview

This is a disclosed shift-scheduling connector that sends schedule data to its stated platform API and does not show hidden persistence or deceptive behavior.

Install only if you are comfortable sending employee names, availability, and schedule details to the AI Skills platform or your configured self-hosted endpoint. Review pricing before paid generate/update/export operations, keep API keys in environment configuration, and do not paste full keys into chat or logs.

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
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (5)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The natural-language content in the manifest description and the markdown instructions consistently forces Chinese as the interaction/documentation language. Under the policy, language constraints should either be optional for the user or clearly justified as region-specific; neither is stated here.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

This markdown file contains all user-facing behavioral and safety instructions in Chinese, and nowhere indicates that the user may choose another language or that the skill is intentionally limited to a Chinese-speaking or region-specific audience. Under the language/locale policy, forcing a specific language without opt-in is a natural-language policy concern.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The entire skill reference is written only in Chinese, with no indication that users may choose another language or that the locale restriction is intentional and justified. Under the policy, forcing a specific language without opt-in 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 · references/HTTP-REQUESTS.md (reported line 11)May include surrounding context.

  • /api/v1/shift-scheduler/schedule.export;/api/v1/shift-scheduler/schedule.export/tasks/{task_id}
sh
curl -sS -X POST "$BASE/shift-scheduler/schedule.read" \
  -H "Authorization: Bearer ${SHIFT_SCHEDULER_API_KEY:-$AI_SKILLS_API_KEY}" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $REQUEST_UUID" \

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
92% confidence
Finding

This file contains user-facing operational documentation entirely in Chinese and does not indicate that other languages are available or that Chinese is required for a justified region-specific context. Under the stated policy, forcing a specific language without opt-in can be a natural-language policy violation.

Content

No source excerpt is available for this finding.