B magic api console
Hand off tasks to human assistants and track their completion
B
86/100
Overall score
- Safety 60%
- Quality 40%
- Tests bonus
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): it is the main trigger signal.
- Add evals/evals.json with 4–6 real requests and expected answers: the full check will then use your cases instead of a model draft.
- Add a spec.yaml with triggers and assertions (skilltest init): the behaviour contract for CI.
Guard findings · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Lint
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "homepage"
Process maturity 62/100
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 5 mutating operations with no state check
- 40Consistency. Frontmatter name (magic api console) differs from the folder (magic-api)
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 24 steps
- 100Execution cost. Instruction body is 2473 tokens
- low 16 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)
- +3Description length 61: 120–800 characters recommended
- +1No license
- +2Single-language instructions
- +4Structure: 23 headings
- +3Step-by-step instructions: 24 items
- +3Output format is stated explicitly
- +4Has examples (21 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.
External checks
ClawHub: suspicious
This skill transparently connects agents to Magic’s human-assistant API, but it pushes routine sharing of personal contact details and optional background monitoring with a saved API key.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026