BF alibabacloud-nginx-ingress-to-api-gateway
Alibaba Cloud APIG Migration Skill. Migrate Kubernetes nginx Ingress resources to Alibaba Cloud API Gateway (APIG, ingressClass: apig). Users provide Ingress YAML (paste, file, or directory) — no cluster access required for analysis. Covers annotation compatibility classification, Higress native mapping, built-in plugin selection, custom WasmPlugin development, migrated Ingress YAML generation, and migration report with deployment guide. Triggers: "nginx ingress migration", "APIG compatibility", "gateway migration", "ingress-nginx to APIG", "nginx迁移", "网关迁移", "Ingress兼容性分析", "APIG迁移", "迁移评估", "annotation兼容性", "WasmPlugin开发".
As a process F 54/100 · Will not run — References files that are not bundled: references/security-review-policy.md, references/security-impact-assessment.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 21. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/security-review-policy.md - warning
missing-refreference to a missing file: references/security-impact-assessment.md
Process rating: all ten parameters 54/100
- 0Tools and files. 2 referenced file(s) missing: references/security-review-policy.md, references/security-impact-assessment.md
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 15 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 65Failures and branches. 3 branches
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 24 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3374 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 12 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (5 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
- -224 emoji in the instructions: noise for the model
- -34 of 4 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 9 example trigger phrases
- +3Description length 632: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 24 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (15 of 15)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.