AC docker-image-sync
Sync Docker Hub images to CNB.tool registry via GitHub Actions, solving domestic Docker pull failures for OpenClaw. Use when: - User needs to pull Docker images but direct access to hub.docker.com is blocked - OpenClaw fails to pull Docker images automatically - Setting up a Docker mirror using CNB + GitHub Actions proxy ─────────────────────────────── 使用 Github Action 同步 Docker 镜像至 cnb.tool 制品库，解决国内拉取镜像失败问题，从而解决 openclaw 自动拉取镜像失败的问题。 适用场景： - 无法直连 hub.docker.com，需要通过 CNB 代理拉取镜像 - OpenClaw 自动拉取 Docker 镜像失败 - 通过 GitHub Actions + CNB 构建 Docker 镜像中转服务
As a process C 64/100 · Has gaps — weak spots: result and completion, when it triggers, 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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "label"
Process rating: all ten parameters 64/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 56 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2824 tokens
- 100Running it twice. Mutating operations check current state
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 16 top-level sections: this looks like several domains in one skill
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
- -214 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 557: enough signal without eating the budget
- +4Structure: 34 headings
- +3Step-by-step instructions: 56 items
- +4Has examples (6 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.