Autonomous multi-round research review loop. Repeatedly reviews using Gemini via gemini-review MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.
68
82%
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Critical
Do not install without reviewing
Security
3 findings: 1 critical severity, 1 high severity, 1 medium severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
The document instructs autonomous, non-interactive exfiltration of full project context to an external reviewer, silent file writes, and remote command deployment/monitoring using the user's credentials (including reading local notification creds), which together enable unauthorized data exposure and remote actions without consent.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The skill sends full project context to an external reviewer and explicitly requires saving and later pasting the reviewer's RAW response verbatim into output files, so any secrets present in the context or echoed back by the reviewer would be recorded and exposed—this forces the agent to handle/output potentially sensitive values verbatim.
The skill prompts the agent to compromise the security or integrity of the user’s machine by modifying system-level services or configurations, such as obtaining elevated privileges, altering startup scripts, or changing system-wide settings.
The skill instructs the agent to run remote commands and deploy services via SSH, start network/MCP services with the user's credentials, and to write/overwrite files silently without asking permission — actions that modify the machine's state and can compromise the host if misused.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The workflow forwards full raw context and then saves and parses the external reviewer’s returned free-text response via the `mcp__gemini-review` MCP bridge (`review_start/review_reply_start` → `review_status.response`), which is outsider-authored text at runtime.
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