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Security audit

HK IPO Parameter Manager

Security checks for vulnerabilities and agentic risk

Overview

The skill is not clearly malicious, but its bundled runtime exposes broader HK IPO scraping, scoring, profile, watchlist, review, and suggestion workflows than the parameter-manager description discloses.

Install only if you are comfortable with a HK IPO tool that can do more than manage scoring parameters. Run explicit params commands, review any use of score/review/apply-suggestions/profile/watchlist commands, consider setting HKIPO_HOME to an isolated directory, and prefer a locked dependency install before running uv.

Vulnerability Patterns
  • Insecure DependenciesIntroduces malicious components through unsafe dependency sources
  • 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)

T08 · Insecure Dependencies

Warning
Location
runtime/hkipo-next/pyproject.toml:10
Finding

Unpinned Runtime Dependencies Permit Unreviewed Supply-Chain Changes

Content
View full analysis
=4.14.3", "httpx>=0.28.1", "lxml>=6.0.4", "opencc-python-reimplemented>=0.1.7", "pydantic>=2.13.0", "requests>=2.33.1", ] ``` The documented execution flow in `SKILL.md` instructs users to launch the bundled project with `uv run`. However, the project does not include a reviewed lockfile, and all runtime dependencies use open-ended minimum-version constraints. ### Technical Analysis Constraints such as `httpx>=0.28.1` allow the package resolver to install any later compatible release available when the command is run. Consequently, the code ultimately installed and imported may differ from the dependency versions present when this Skill was audited. This is a supply-chain integrity weakness rather than evidence that any currently named dependency is malicious. Exploitation would require compromise of a dependency release, its distribution account, the package repository, or another relevant component of the dependency-resolution path. Because Python packages and native extensions can execute code during installation or import, a malicious future dependency release could run with the same operating-system privileges as the user invoking the Skill. ### Attack Path 1. An attacker compromises the publishing account or distribution channel of one of the declared dependencies and publishes a malicious later version that satisfies the open-ended constraint. 2. A user follows `SKILL.md` and invokes the project through `uv run`. 3. In the absence of a committed lockfile and locked execution, `uv` resolves the malicious release. 4. The dependency is downloaded and installed into the runtime environment. 5. Malicious code executes during package installation or when the application imports the depe ...[truncated 736 chars]
Remediation
View remediation
Vulnerability Patterns
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (178)

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
98% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
98% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
98% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
98% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
98% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
98% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
98% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.

Tp4

High
Category
MCP Tool Poisoning
Confidence
98% confidence
Finding

The declared skill purpose is tightly scoped to parameter version management, but the analyzed behavior reportedly spans external data fetching, scraping, profile/watchlist management, review workflows, scoring, and recommendation generation. This kind of description-behavior mismatch is dangerous because users and orchestration systems may grant trust or invoke the skill under false assumptions, enabling unintended data access, network activity, or state mutation outside the advertised scope.

Content

No source excerpt is available for this finding.