BF gee-dataset-intelligence
Search, filter, compare, recommend, and explain Google Earth Engine public
Search, filter, compare, recommend, and explain Google Earth Engine public
As a process F 38/100 · Will not run — References files that are not bundled: assets/catalog.jsonl.gz, assets/catalog.jsonl.xz.base64.txt, assets/catalog-summary.tsv
The same skill appears in 1 more place: ClawHub
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
For the model run — optional
- 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: 12. 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
missing-refreference to a missing file: assets/catalog.jsonl.gz - warning
missing-refreference to a missing file: assets/catalog.jsonl.xz.base64.txt - warning
missing-refreference to a missing file: assets/catalog-summary.tsv - warning
missing-refreference to a missing file: assets/manifest.json - warning
missing-refreference to a missing file: assets/audit-overrides.json - warning
missing-refreference to a missing file: assets/audit-curation.json
Process rating: all ten parameters 38/100
Will not run. References files that are not bundled: assets/catalog.jsonl.gz, assets/catalog.jsonl.xz.base64.txt, assets/catalog-summary.tsv
- 0Tools and files. 6 referenced file(s) missing: assets/catalog.jsonl.gz, assets/catalog.jsonl.xz.base64.txt, assets/catalog-summary.tsv
- 0Result and completion. Does not say what the result is
- 20When it triggers. No condition that starts the skill
- 30Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 2 mutating operations with no state check
- 40Consistency. Frontmatter name (gee-dataset-intelligence) differs from the folder (gee-dataset-intel-v1-final)
- 50Failures and branches. 0 branches, has a failure section
- 100Steps. 14 steps
- 100Execution cost. Instruction body is 2291 tokens
- 100Progress reporting. Reports progress
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)
- +3Description length 74: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -2localhost URLs: will not work for another user
- -32 of 6 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Structure: 9 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (6 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.
External checks
ClawHub: clean
This skill is a disclosed Google Earth Engine catalog search and maintenance tool with optional network refresh and audit features that are explicit and user-invoked.
LLM: benign (high) · VirusTotal: · 1 Aug 2026