BC sentinel1-download
通过 STAC 搜索和下载 Sentinel-1 SAR (C 波段) 影像。 description: '通过 STAC 搜索和下载 Sentinel-1 SAR (C 波段) 影像。 默认后端是 Microsoft Planetary Computer（公开数据，无需账号）。 支持极化方式过滤（VV/VH/VV+VH / lowercase: vv/vh/vv+vh/all）、轨道方向过滤（ascending/descending）、 安全的 .part 临时文件写入以及可视化下载进度。 Use for Sentinel-1 SAR imagery search by bounding box / date / polarization, orbit direction, and large-file downloads with visual progress. English: STAC-based Sentinel-1 SAR (C-band) downloader. Data source: Microsoft Planetary Computer (Sentinel-1 GRD, public domain). Supports polarization filter, orbit direction filter, safe .part temp writes, and visual progress (speed + ETA).
通过 STAC 搜索和下载 Sentinel-1 SAR (C 波段) 影像。 description: '通过 STAC 搜索和下载 Sentinel-1 SAR (C 波段) 影像。 默认后端是 Microsoft Planetary Computer（公开数据，无需账号）。…
As a process C 50/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 1 more place: ClawHub
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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: '通过 STAC 搜索和下载 Sentinel-1 SAR (C 波段) 影像。 description: '通过 STAC 搜索和… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
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
- 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
- 75Steps. 3 steps
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 776 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
- -216 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 643: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 3 items
- +4Has examples (5 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.