BD fore-vip-ds-harness
DeepSeek Harness（dsh）傻瓜式本地启动助手。一句话讲清 DSH 是什么，引导在 DeepSeek 开放平台获取 API Key，按本机系统（macOS/Windows/Linux）实时装好 Node、配置 npm 国内镜像、安装并启动 dsh，并就地生成桌面快捷方式（启动服务并打开 http://localhost:3080）。运行脚本由 Agent 按系统环境实时写出，不依赖任何随包文件。触发词：DSH、DeepSeek Harness、dsh、本地部署 DeepSeek、DeepSeek Agent 框架、傻瓜式启动。
DeepSeek Harness（dsh）傻瓜式本地启动助手。一句话讲清 DSH 是什么，引导在 DeepSeek 开放平台获取 API Key，按本机系统（macOS/Windows/Linux）实时装好 Node、配置 npm 国内镜像、安装并启动 dsh，并就地生成桌面快捷方式（启动服务并打开…
As a process D 46/100 · Unfinished process — 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: 2. 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") - note
frontmatter-keyunknown frontmatter key "display_name" - note
frontmatter-keyunknown frontmatter key "display_name_en"
Process rating: all ten parameters 46/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 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
- 100Steps. 21 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1021 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
- +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
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 273: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 21 items
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.