CC ai-logo-maker
Install and use the official AI Logo Maker package, pinned by digest, for paid hosted work on the Beatra service.
The skill promises to install the official AI Logo Maker package for paid Beatra service work. Reality: a single instruction file with no scripts or automation. Checks flagged broken references—something doesn't align with what's described. Safety is solid, but quality (65) and process (52) suggest rough edges. No model runs or sandbox testing.
You'll need an active Beatra account and willingness to handle API integration yourself. It's a guide, not a turnkey tool. Skip it if you expect plug-and-play; grab it if you're comfortable with manual setup.
Install and use the official AI Logo Maker package, pinned by digest, for paid hosted work on the Beatra service.
As a process C 52/100 · Has gaps — References files that are not bundled: scripts/authorize.py, scripts/mcp_client.py, scripts/uninstall.py
The same skill appears in 2 more places: agentic-awesome-skills, agentic-awesome-skills
How to improve
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- The text references files that are not there: add them or drop the references.
- 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: 1. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 113 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
missing-refreference to a missing file: scripts/authorize.py - warning
missing-refreference to a missing file: scripts/mcp_client.py - warning
missing-refreference to a missing file: scripts/uninstall.py - note
frontmatter-keyunknown frontmatter key "risk" - note
frontmatter-keyunknown frontmatter key "source" - note
frontmatter-keyunknown frontmatter key "source_repo" - note
frontmatter-keyunknown frontmatter key "source_type" - note
frontmatter-keyunknown frontmatter key "date_added" - note
frontmatter-keyunknown frontmatter key "tools" - note
frontmatter-keyunknown frontmatter key "license_source"
Process rating: all ten parameters 52/100
- 0Tools and files. 3 referenced file(s) missing: scripts/authorize.py, scripts/mcp_client.py, scripts/uninstall.py
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 15 mutating operations with no state check
- 100Steps. 29 steps
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3529 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 11 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
- +3Description length 113: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +4Structure: 18 headings
- +3Step-by-step instructions: 29 items
- +4Has examples (6 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.