SKILLEMALL.ai

CF skill-plant-care

(no description)

ClawHub Agent Skills author: Phal studio v1.0.0 MIT-0 5 files body ≈ 3 165 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 49/100 · Will not run — References files that are not bundled: references/plant_database.md, references/plant_database_extended_en.md, references/troubleshooting_en.md

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
60/100
safety, quality, tests
Safety 60%
100
Quality 40%
0
Run on models
none yet
Process rating
F
49/100
Will not run
References files that are not bundled: references/plant_database.md, references/plant_database_extended_en.md, references/troubleshooting_en.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
  2. 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-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger
  • warning missing-ref reference to a missing file: references/plant_database.md
  • warning missing-ref reference to a missing file: references/plant_database_extended_en.md
  • warning missing-ref reference to a missing file: references/troubleshooting_en.md
  • note frontmatter-key unknown frontmatter key "AIGC"

Process rating: all ten parameters 49/100

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
  • 60Result and completion. Output format stated, no completion criterion
  • 70Failures and branches. 6 branches
  • 100Steps. 110 steps
  • 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: clean
This is a plant-care reference skill with no executable code or hidden access, but users should be cautious with its chemical treatment advice.
LLM: benign (high) · VirusTotal: · 29 May 2026