BD dahua-cloud-open-iot-basic-general-kit
大华云开放平台IoT设备管理统一客户端，支持摄像头、NVR、DVR等设备的完整生命周期管理。提供设备添加/删除/查询、国标GB28181设备接入、SD卡管理、WiFi配置、消息订阅回调、铃音管理、图片解密等43个API接口。适用于大华云IoT平台设备接入、监控系统集成、智能安防项目开发。使用场景：如何管理大华云设备、批量查询设备状态、获取设备在线状态、配置设备回调消息、国标设备接入平台、摄像头SD卡格式化、修改设备WiFi连接、设备图片解密、IoT设备运维管理。单文件Python实现，支持命令行CLI和SDK调用，自动Token刷新，零冗余配置。
As a process D 42/100 · 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.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 11. 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
body-longSKILL.md body ≈ 6155 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "type" - note
frontmatter-keyunknown frontmatter key "paths" - note
frontmatter-keyunknown frontmatter key "dependencies"
Process rating: all ten parameters 42/100
- 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
- 30Running it twice. 13 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 70Execution cost. Instruction body is 6155 tokens
- 100Steps. 78 steps
- 100Consistency. Name and required fields are in place
- low 21 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
- -256 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 276: enough signal without eating the budget
- +4Structure: 85 headings
- +3Step-by-step instructions: 78 items
- +4Has examples (37 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.