AC fizzy
Manages Fizzy boards, cards, steps, comments, and reactions. Use when user asks about boards, cards, tasks, backlog or anything Fizzy.
As a process C 58/100 · Has gaps — weak spots: when it triggers, failures and branches, progress reporting
ReferenceInfrastructureOperations and projectstype and topics are labelled automatically from the skill text
How to improve
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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 58/100
- 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
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 4693 tokens
- 85Steps. 18 steps, 1 vague phrases
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- low 12 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 134: enough signal without eating the budget
- +4Structure: 51 headings
- +3Step-by-step instructions: 18 items
- +3Output format is stated explicitly
- +4Has examples (33 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.
External checks
ClawHub: suspicious
This Fizzy skill appears to be a legitimate board-management helper, but it needs review because it installs an unpinned third-party CLI and can change or delete project data using broad API credentials without clear confirmation safeguards.
LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026