AF alibabacloud-terraform-code-generation
Use when the user wants Terraform HCL for Alibaba Cloud (Alicloud) infrastructure — new project or extending an existing one. Covers VPC, ECS, ApsaraDB RDS, OSS, SLB / ALB, Function Compute v3, ACK, and any other `alicloud_*` resource via the provider's own documentation fetched at generation time. For AWS → Alicloud migration or importing existing resources into state, use a different skill. Triggers: "write terraform for alicloud", "generate alibaba cloud terraform", "alicloud HCL", "create alibaba cloud vpc/ecs/rds", "生成阿里云 Terraform", "阿里云 HCL", "用 Terraform 部署阿里云", "alicloud provider", "aliyun/alicloud", "terraform-provider-alicloud".
As a process F 49/100 · Will not run — References files that are not bundled: <url>
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: <url>
Process rating: all ten parameters 49/100
- 0Tools and files. 1 referenced file(s) missing: <url>
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 5 mutating operations with no state check
- 70When it triggers. States when to use, but not when not to
- 70Execution cost. Instruction body is 4926 tokens
- 100Steps. 45 steps
- 100Failures and branches. 8 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 The response is described with custom markup (14 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -31 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 10 example trigger phrases
- +3Description length 647: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 45 items
- +4Has examples (13 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.