AC minimax-mcp
MiniMax MCP server for web search and image understanding. Use when needing: (1) Web search via MiniMax API, (2) Analyze/describe images, (3) Extract content from URLs. Requires MINIMAX_API_KEY (China: api.minimaxi.com, Global: api.minimax.io).
As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
IntegrationAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
How to improve
For the model run — optional
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 2
✓ No critical or high findings
Medium and low: 2
-
low Dangerous commands
cmd-pipe-to-shell-known-hostreferences/examples.md:103Pipe-to-shell installer from a well-known host (still executes remote code) (test fixture / example file)curl -LsSf https://astral.sh/uv/install.sh | sh
fixture -
low Dangerous commands
cmd-pipe-to-shell-known-hostSKILL.md:117Pipe-to-shell installer from a well-known host (still executes remote code) (quoted — discussed, not commanded)- **"uvx not found"**: Install uv - `brew install uv` or `curl -LsSf https://astral.sh/uv/install.sh | sh`
quoted
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: MiniMax MCP server for web search and image understanding. Use whe… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
Process rating: all ten parameters 56/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 9 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 615 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 244: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 9 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.
External checks
ClawHub: clean
This skill is a straightforward MiniMax integration for web search and image analysis, with normal privacy and installer cautions but no evidence of hidden or malicious behavior.
LLM: benign (high) · VirusTotal: suspicious · 28 May 2026