AC mirror-download
当用户需要从 HuggingFace 或 GitHub 下载模型、数据集或代码仓库，且网络连接失败、超时或速度缓慢时，**立即启用此 skill**，自动切换到国内镜像站（hf-mirror、魔搭社区、GitCode 等）完成下载，避免无意义重试消耗大量 token。 触发场景包括： - 用户提到"下载模型"、"clone 仓库"、"连不上 HuggingFace/GitHub" - 出现 ConnectionError、Timeout、SSLError、huggingface_hub 报错 - 用户在中国大陆环境下载 AI 模型或数据集 - 任何涉及 huggingface_hub、modelscope、git clone 的下载任务 **不要反复重试原站**——第一次失败后立即切换镜像。
当用户需要从 HuggingFace 或 GitHub 下载模型、数据集或代码仓库，且网络连接失败、超时或速度缓慢时，立即启用此 skill，自动切换到国内镜像站（hf-mirror、魔搭社区、GitCode 等）完成下载，避免无意义重试消耗大量 token。 触发场景包括： - 用户提到"下载模型"、"clone…
As a process C 50/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 5. 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")
Process rating: all ten parameters 50/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (mirror-download) differs from the folder (download-mirror)
- 50Failures and branches. 0 branches, has a failure section
- 75Steps. 3 steps
- 100Tools and files. No external tools needed
- 100Execution cost. Instruction body is 1418 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +3Description length 350: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 3 items
- +4Has examples (12 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.