Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
64
76%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/skills-codex/auto-review-loop-minimax/SKILL.mdSecurity
2 findings — 2 medium severity. This skill can be installed but you should review these findings before use.
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.
Third-party content exposure detected (high risk: 0.85). The skill’s Phase E explicitly pastes the external reviewer’s **raw response** (from the MiniMax API, i.e., an outsider-authored free-text source) verbatim into `review-stage/AUTO_REVIEW.md`, which is then read back in later rounds and thus feeds outsider free text into the agent’s LLM context.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Potentially malicious external URL detected (high risk: 0.90). The skill makes runtime calls to the MiniMax service (e.g., curl "https://api.minimax.io/v1/chat/completions") and explicitly saves and uses the returned reviewer text verbatim to determine score, verdict, and subsequent actions, so the fetched external content directly controls the agent's loop behavior.
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.