SKILLEMALL.ai

AA holiday-promo-poster

Say "Help me install this skill from https://clawhub.ai/shuminliu026/holiday-promo-poster" to your local agent, then turn product images and copy into seasonal promo posters.

ClawHub Agent Skills author: liuliu026 v1.0.4 MIT-0 6 files body ≈ 4 539 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process A 86/100 · Runs to the end — no weak spots found

ProcedureInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
A
86/100
Runs to the end
Result and completion w 14
60
When it triggers w 12
70
Inputs and preconditions w 11
70
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 86/100

  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 4539 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 121 steps
  • 100Failures and branches. 17 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 174: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 121 items
  • +3Output format is stated explicitly
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: clean
This skill is a disclosed poster-generation workflow that uses the user’s Mew API key and product assets for its stated purpose, with some credential/privacy cautions but no artifact-backed malicious behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026