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auto-review-loop-minimax

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".

68

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

77%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is highly actionable and workflow-clear, with concrete executable commands and a well-sequenced, validated review loop. Its main weakness is conciseness and progressive disclosure: the curl and prompt templates are duplicated nearly verbatim and inlined rather than factored into a separate reference file.

Suggestions

De-duplicate the curl JSON payload and MCP invocation template: define the shared prompt/system strings once and reference them from Phase A and the Round 2+ template instead of repeating them verbatim.

Move the long Round 2+ prompt templates and curl fallback into a dedicated reference file (e.g. prompts.md) and link to it from the workflow, keeping SKILL.md a lean overview.

Consider extracting the API configuration block into a short reference so the core loop workflow reads as a concise sequence.

DimensionReasoningScore

Conciseness

The body is mostly efficient and avoids explaining concepts Claude already knows, but the full curl JSON payload and MCP invocation template are repeated nearly verbatim across API Configuration, Phase A, and the Prompt Template section, which is padding that could be factored out.

2 / 3

Actionability

Provides copy-paste-ready executable curl commands with exact endpoint, headers, model name, and JSON payloads, plus a complete MCP tool invocation template and concrete round-2 prompt structure.

3 / 3

Workflow Clarity

A clearly sequenced multi-phase workflow (Initialization → Loop Phases A–E → Termination) with an explicit STOP CONDITION, state-persistence/recovery logic, and validation checkpoints such as checking MCP availability and saving the raw reviewer response verbatim.

3 / 3

Progressive Disclosure

Shared-reference links are appropriately one-level-deep and clearly signaled, but the skill is a monolithic single file with no own-directory bundle files and large duplicated prompt/curl templates inlined that would be better split into a reference file.

2 / 3

Total

10

/

12

Passed

Description

90%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is strong: it states a concrete capability, includes explicit natural trigger phrases, and clearly defines both what the skill does and when to use it within a distinct MiniMax niche. The only modest weakness is specificity, since it names one composite process rather than enumerating several discrete actions.

DimensionReasoningScore

Specificity

Names a concrete domain and process ("Autonomous multi-round research review loop using MiniMax API") but describes a single composite process rather than listing multiple distinct concrete actions like the score-3 anchor.

2 / 3

Completeness

Clearly answers both what (autonomous multi-round research review loop) and when via an explicit "Use when you want to use MiniMax instead of Codex MCP for external review" clause with stated triggers.

3 / 3

Trigger Term Quality

Provides explicit natural trigger phrases ("auto review loop minimax", "minimax review") that a user would plausibly say, giving good coverage of the skill's invocation terms.

3 / 3

Distinctiveness Conflict Risk

The MiniMax-vs-Codex-MCP framing carves a clear, narrow niche with distinct triggers, making it unlikely to fire for unrelated skills.

3 / 3

Total

11

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 3 suspicious

Warning

Total

15

/

16

Passed

Repository
wanshuiyin/Auto-claude-code-research-in-sleep
Reviewed

Table of Contents

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