AB alibabacloud-aidbs-dgate-skill
Connect a cloud or sandbox Agent to Alibaba Cloud Agent Data Gateway (Dgate) through its managed MCP service, or install/reinstall the Dgate CLI and its local Agent Skill/Rule bundle on macOS, Linux, or Windows. Use when the user asks to configure a Region-bound Dgate MCP endpoint and AccessToken, set up Dgate without installing a binary, install the dgate command, refresh the bundled dgate-cli skills, or verify either access path.
Connect a cloud or sandbox Agent to Alibaba Cloud Agent Data Gateway (Dgate) through its managed MCP service, or install/reinstall the Dgate CLI and its local…
As a process B 66/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting
How to improve
- 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 · 0
✓ No critical or high findings
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 66/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 30Inputs and preconditions. Does not say what the process needs to start
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 14 steps
- 100Failures and branches. 3 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1409 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 435: enough signal without eating the budget
- +4Structure: 5 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.