AC alibabacloud-rds-instances-manage
Query and manage Alibaba Cloud RDS instances in the user's own account through Alibaba Cloud CLI and official RDS, VPC, BssOpenApi, and DAS OpenAPIs. Use for listing or inspecting RDS instances, zones, classes, performance, logs, parameters, databases, accounts, networks, whitelists, bills, and SQL insight statistics, or for explicitly requested instance creation, parameter/specification/description changes, account creation, whitelist changes, public endpoint allocation, whitelist-template attachment, tagging, restart, and instance deletion. Do not use this skill to diagnose incidents, troubleshoot performance anomalies, or perform root-cause analysis; it only queries current RDS instance state and executes the explicitly supported instance-management operations.
Query and manage Alibaba Cloud RDS instances in the user's own account through Alibaba Cloud CLI and official RDS, VPC, BssOpenApi, and DAS OpenAPIs.
As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 5381 tokens (recommended < 5000); move details to references/ - note
edit-residuethe text marks something as outdated (lines 107): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 63/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 23 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
- 70Execution cost. Instruction body is 5381 tokens
- 100Steps. 67 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 11 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (7 tags): a typed call is more reliable
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
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 774: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 67 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.