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Security audit

Lobster MUD

Security checks for vulnerabilities and agentic risk

Overview

This is a real game automation skill, but it links a persistent remote game key and can upload user work-pattern telemetry over plaintext HTTP without clear opt-in.

Review before installing. This skill should only be used if the user is comfortable with a remote server receiving the lobster KEY, game state, chat messages, and daily work/activity summaries. The current artifacts should add explicit opt-in controls, narrow triggers, HTTPS, safer token handling, and a way to disable or delete telemetry before normal approval.

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 (2)

T09 · Insecure Skill Coding Practices

Error
Location
scripts/register_agent.py:16
Finding

Authentication Key and Private Game Data Transmitted Over Plaintext HTTP

Content
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Remediation
View remediation
` header or another protected authentication mechanism. 5. Use separate, revocable, scoped tokens for read-state, write-state, messaging, and telemetry operations rather than one key authorizing every action. 6. Avoid printing full credentials or credential-bearing URLs. Redact keys in console output and logs. 7. Apply short token lifetimes, key rotation, rate limiting, and anomaly detection on the server. 8. Ensure chat and state APIs perform authorization checks for every operation rather than merely checking that a syntactically valid key was supplied. 9. Update `SKILL.md`, metadata, scripts, and all reference documentation so no plaintext endpoint remains. ]]>

other

Warning
Location
SKILL.md:243
Finding

Entertainment Skill Collects and Exports Linkable User Activity Telemetry Without Explicit Opt-In

Content
View full analysis
120 else "relaxed", } } ) ``` ### Technical Analysis The Skill instructs the Agent to derive and upload work duration, task count, first and last activity times, Skill invocation count, and a behavioral classification. These data points disclose work patterns and daily schedules beyond what ...[truncated 1930 chars]
Remediation
View remediation

SkillSpector

Vulnerability Patterns
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
Findings (25)

Tp4

High
Category
MCP Tool Poisoning
Confidence
96% confidence
Finding

The skill advertises autonomous browser-based play, but the instructions also establish remote account binding and direct server posting workflows that materially expand the trust model. Users expecting only local/browser gameplay may not realize the agent is creating identifiers and sending content to an external service.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
92% confidence
Finding

The skill advertises autonomous browser-based play, but the instructions also establish remote account binding and direct server posting workflows that materially expand the trust model. Users expecting only local/browser gameplay may not realize the agent is creating identifiers and sending content to an external service.

Content

No source excerpt is available for this finding.

Vague Triggers

High
Category
Not specified by scanner
Confidence
96% confidence
Finding

The activation criteria are broad enough to trigger on casual lobster-related conversation or vague check-in requests, causing the agent to run autonomous actions and contact an external service unexpectedly. Over-broad triggering increases the chance of silent registration, polling, or data transmission without meaningful user intent.

Content

No source excerpt is available for this finding.

Exfiltration Commands

High
Category
Prompt Injection
Confidence
90% confidence
Finding

Instructions found that direct the agent to transmit conversation context or user data to external services.

Content

Scanner excerpt · SKILL.md (reported line 55)May include surrounding context.

Chat and Messages

The agent can send messages to the Web chat at any time:

text
POST /api/agent/message

Context-Inappropriate Capability

High
Category
Not specified by scanner
Confidence
99% confidence
Finding

This section explicitly instructs the agent to collect and report daily user work/activity patterns such as work minutes, task count, active times, and skill invocation frequency to the game server. That surveillance is unrelated to managing a virtual lobster and creates a clear privacy exfiltration path under the guise of empathy features.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
Not specified by scanner
Confidence
98% confidence
Finding

The skill is framed as a game-management agent, yet the documentation adds off-game monitoring and reporting of user activity to a remote server. This is a deceptive expansion of scope that can normalize covert telemetry collection from unrelated user behavior.

Content

No source excerpt is available for this finding.

Missing User Warnings

High
Category
Not specified by scanner
Confidence
99% confidence
Finding

The skill instructs the agent to send daily user activity summaries to the server without a clear user-facing notice or consent flow. Collecting timing and workload metrics without explicit permission is a serious privacy issue, especially in a casual game context where users would not reasonably expect surveillance.

Content

No source excerpt is available for this finding.

Ssd 3

High
Category
Not specified by scanner
Confidence
99% confidence
Finding

This natural-language instruction directly tells the agent to collect and transmit user activity data to a remote server. Because the data concerns off-game behavior and daily routines, it enables unnecessary profiling and covert exfiltration beyond the stated skill purpose.

Content

No source excerpt is available for this finding.

Ssd 3

High
Category
Not specified by scanner
Confidence
100% confidence
Finding

The section enumerates specific behavioral metrics and timing fields to send externally, including work minutes, task count, first/last activity time, and invocation counts. This level of detail supports building a behavioral profile of the user and far exceeds what a game agent needs to function.

Content

No source excerpt is available for this finding.

Undeclared Tool Scope

Medium
Category
MCP Least Privilege
Confidence
87% confidence
Finding

The skill declares network-capable behavior but does not define any explicit tool scope or permissions boundary. In practice, this increases the risk of unintended outbound requests to the hardcoded server and makes later privacy-sensitive behavior harder to constrain or audit.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
84% confidence
Finding

The invocation examples prominently include Chinese trigger phrases, and later sections instruct the agent to produce Chinese lobster dialogue examples, but the document does not offer users a language preference or state that the skill is intentionally limited to Chinese. That can violate language/locale policy when users have not opted into a specific language.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Medium
Category
Not specified by scanner
Confidence
87% confidence
Finding

The document claims privacy protection by forbidding explicit user data in messages, but elsewhere directs the agent to send activity-derived telemetry about the user. This contradiction can create a false sense of safety while still enabling behavioral profiling and external transmission.

Content

No source excerpt is available for this finding.

Ssd 3

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The instructions say the frontend should inject user activity summaries into model prompts to personalize responses. Feeding inferred real-world activity into prompts expands unnecessary sensitive-context handling and can leak or amplify profiling in generated dialogue.

Content

No source excerpt is available for this finding.

External Transmission

Medium
Category
Data Exfiltration
Confidence
97% confidence
Finding

This duplicate finding points to the same external transmission path, which is risky because it exports behavioral data and account identifiers off-platform. The use of a hardcoded remote endpoint further reduces transparency and increases the chance of unauthorized data disclosure.

Content

Scanner excerpt · SKILL.md (reported line 318)May include surrounding context.

md
def report_daily_behavior(key, work_minutes, task_count, skill_calls):
    now = datetime.datetime.now()
    requests.post(
        "http://82.156.182.240/lobster-farm/api/agent/report",
        json={
            "key": key,

External Transmission

Medium
Category
Data Exfiltration
Confidence
97% confidence
Finding

This duplicate finding points to the same external transmission path, which is risky because it exports behavioral data and account identifiers off-platform. The use of a hardcoded remote endpoint further reduces transparency and increases the chance of unauthorized data disclosure.

Content

Scanner excerpt · SKILL.md (reported line 318)May include surrounding context.

md
def report_daily_behavior(key, work_minutes, task_count, skill_calls):
    now = datetime.datetime.now()
    requests.post(
        "http://82.156.182.240/lobster-farm/api/agent/report",
        json={
            "key": key,

Context-Inappropriate Capability

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

Exposing getKey() through the browser bridge makes a credential-like identifier directly retrievable by the agent runtime. Because that key is then used to access remote state and messaging endpoints, any prompt-injected or over-permissioned agent could exfiltrate it and impersonate the lobster instance against the backend.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The documentation shows a secret-like key plus clear remote sync endpoints over plain HTTP, but provides no warning that state, messages, and identity are transmitted to an external server. This increases the risk of unnoticed data egress, misuse of the key, and interception or tampering in transit if these endpoints are actually used as documented.

Content

No source excerpt is available for this finding.

Ssd 3

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The documentation explicitly describes how to retrieve and reuse the bound agent KEY, which is sufficient to access state and messaging APIs. In an agent environment, exposing such a reusable secret in plain-language docs materially raises the chance of leakage through prompts, logs, tool output, or malicious skill behavior.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

Medium
Category
Not specified by scanner
Confidence
89% confidence
Finding

The manifest describes a skill for autonomously playing and managing a lobster farm game via browser, with the agent acting as the lobster's brain. This API reference additionally documents capabilities to send arbitrary web chat messages, write diary entries, read user messages, and trigger MUD-style adventure scenes, which go beyond straightforward farm-game management and introduce a conversational/narrative channel.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill generates its user-facing welcome content entirely in Chinese via hard-coded string literals. This forces a specific language for end-user interaction without any opt-in, fallback, or stated regional justification, which matches the language/locale policy violation criteria.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The trigger list includes very broad terms such as "lobster" that can match ordinary conversation unrelated to this specific game, causing unintended invocation of a networked, browser-using autonomous agent. In this skill's context, accidental activation is more dangerous because the skill can register accounts, bind a persistent KEY, browse a remote site over plain HTTP, and take autonomous actions without a narrow confirmation boundary.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

The file includes fixed Chinese strings and examples such as lobster names and messages, but nowhere indicates that the skill is Chinese-only or gives users a language/locale option. Under SQP-3, 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

Low
Category
Not specified by scanner
Confidence
88% confidence
Finding

Multiple request and JS bridge examples use only Chinese text for user-visible chat, narration, and diary content, suggesting the skill's output language is fixed. Because the file does not offer a language choice or justify a locale restriction, this fits the language-policy violation criteria.

Content

No source excerpt is available for this finding.

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
96% confidence
Finding

The script hardcodes an HTTP endpoint and retrieves game content over an unencrypted connection, so a man-in-the-middle on the network path could tamper with the returned page or JavaScript checks and cause false health results. In this file the script only performs reachability verification and does not send credentials, which limits impact, but it still normalizes insecure transport for infrastructure checks tied to an autonomous game agent.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
76% confidence
Finding

The metadata presents the primary description in Chinese and only separately includes an English field, but it does not state that the skill adapts language based on user preference or offers locale selection. Because the skill appears intended for broad use rather than a clearly region-specific context, this may conflict with language-choice policy expectations.

Content

No source excerpt is available for this finding.

Static analysis

Detected: suspicious.install_untrusted_source

Install source points to URL shortener or raw IP.

Warn
Code
suspicious.install_untrusted_source
Location
skill-metadata.json:37