BD landsat-download
通过 STAC 搜索和下载 Landsat 8 / Landsat 9 Collection 2 Level 2 影像。 description: '通过 STAC 搜索和下载 Landsat 8 / Landsat 9 Collection 2 Level 2 影像。 默认后端是 Microsoft Planetary Computer（公开数据，无需账号）。 支持云量过滤、WRS-2 路径/行过滤、单波段选择、安全的 .part 临时文件写入 以及可视化下载进度（速度 + ETA）。 Use for Landsat 8/9 imagery search by bounding box / date / cloud cover, asset selection (SR_B1..SR_B7, ST_B10, QA_PIXEL, QA_RADSAT), and large-file downloads with visual progress. English: STAC-based Landsat 8/9 Collection 2 Level 2 downloader. Data source: Microsoft Planetary Computer (USGS Landsat Collection 2, public domain). Supports cloud-cover filter, WRS-2 path/row filter, band selection, safe .part temp writes, and visual progress (speed + ETA).
通过 STAC 搜索和下载 Landsat 8 / Landsat 9 Collection 2 Level 2 影像。 description: '通过 STAC 搜索和下载 Landsat 8 / Landsat 9 Collection 2 Level 2 影像。 默认后端是 Microsoft…
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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: 24. 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 Landsat 8 / Landsat 9 Collection 2 Level 2 影像。 desc… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
Process rating: all ten parameters 41/100
- 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
- 40Consistency. Frontmatter name (landsat-download) differs from the folder (geoskill-landsat-download)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 21 steps
- 100Execution cost. Instruction body is 2073 tokens
- 100Running it twice. No mutating operations
- low 12 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
- -217 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 716: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 21 items
- +4Has examples (11 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.