DD skill-plant-care
(no description)
A professional plant identification and care skill that helps users identify plant species and provides scientific care solutions.
As a process D 45/100 · Unfinished process — References files that are not bundled: references/plant_database.md, references/plant_database_extended_en.md, references/troubleshooting_en.md
ProcedurePersonal productivityAI and agentstype and topics are labelled automatically from the skill text
How to improve
- Add a description to the frontmatter: without it the skill never triggers.
- 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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
name-missingSKILL.md: frontmatter has no `name` - error
description-missingSKILL.md: no `description` — the skill can never trigger - warning
missing-refreference to a missing file: references/plant_database.md - warning
missing-refreference to a missing file: references/plant_database_extended_en.md - warning
missing-refreference to a missing file: references/troubleshooting_en.md - note
frontmatter-keyunknown frontmatter key "AIGC"
Process rating: all ten parameters 45/100
Will not run. References files that are not bundled: references/plant_database.md, references/plant_database_extended_en.md, references/troubleshooting_en.md
- 0Tools and files. 3 referenced file(s) missing: references/plant_database.md, references/plant_database_extended_en.md, references/troubleshooting_en.md
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30When it triggers. No condition that starts the skill
- 30Running it twice. 4 mutating operations with no state check
- 55Failures and branches. 1 branches
- 60Result and completion. Output format stated, no completion criterion
- 85Steps. 110 steps, 1 vague phrases
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3165 tokens
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 0: 120–800 characters recommended
- -215 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 38 headings
- +3Step-by-step instructions: 110 items
- +3Output format is stated explicitly
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.
External checks
ClawHub: suspicious
The skill is a coherent plant-care guide with no executable code, but it gives specific pesticide and fungicide advice without enough safety warnings for users.
LLM: suspicious (medium) · VirusTotal: · 16 Sept 2026