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Security audit

AniCult - Anime Discovery

Security checks for vulnerabilities and agentic risk

Overview

This skill is a disclosed anime lookup and streaming-link CLI, but users should treat its unofficial streaming links as potentially risky.

Install only if you are comfortable sending anime searches and IDs to AniList and Anikoto and receiving links to unofficial third-party streaming sites. Prefer official/legal streaming providers when available, and avoid opening unfamiliar streaming domains in sensitive browser profiles.

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
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (7)

Missing User Warnings

High
Category
Not specified by scanner
Confidence
98% confidence
Finding

The skill explicitly advertises direct third-party streaming links from domains like megaplay.buzz and anixo.buzz without warning users about legal status, tracking, malware, or other safety risks. This is dangerous because users may be steered to unvetted external services under the implicit trust of the skill, exposing them to privacy harm, malicious content, or copyright-related risk.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
83% confidence
Finding

The user-facing documentation and trigger wording are written in Indonesian, including activation cues such as 'bertanya', 'minta rekomendasi', and 'cari anime untuk ditonton'. There is no indication that language is optional or that the skill supports user choice, which may violate language/locale policy expectations.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The trigger section uses broad, everyday terms like 'anime', 'episode', 'streaming', and generic recommendation phrases, which can cause the skill to activate for loosely related user requests. Over-broad invocation increases the chance of unintended tool use and unsolicited delivery of third-party streaming links, especially in multi-skill environments where precise routing matters.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Medium
Category
Not specified by scanner
Confidence
96% confidence
Finding

The module docstring says the CLI is compatible with Telegram formatting and specifically mentions a --json mode without ANSI codes, which implies machine-readable JSON output when that flag is used. However, in cmd_detail, the --json argument is accepted but ignored: the function always prints the Markdown-formatted fmt_detail output and optional URLs rather than JSON.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The tool sends user-provided search terms and anime identifiers to third-party services (anilist.co, anikotoapi.site, and linked streaming domains) without any disclosure, consent, or privacy notice. In an agent/skill context, this can leak user interests and usage metadata to external operators, especially because one service appears unofficial and the skill also promotes direct streaming links to third-party sites.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
98% confidence
Finding

The output strings in this section are hard-coded in Indonesian (for example, "Stream di Telegram" and "Tap link di atas"), which imposes a specific language on users without offering a choice. The policy requires avoiding forced language or locale constraints unless the skill documents user choice or a justified regional limitation.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The CLI parser defines --json for the detail subcommand, signaling to users that this mode should return JSON as it does for other commands. But cmd_detail never checks args.json for output format selection and always prints formatted text, creating a direct contradiction between the command interface documentation and implementation.

Content

No source excerpt is available for this finding.