AD Deal Desk — Structured Deal Review & Approval
Run every non-standard deal through a repeatable review process. Catch margin leaks, enforce discount guardrails, and close faster with pre-approved terms.
Run every non-standard deal through a repeatable review process.
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
AnalyzerGitHubSales and CRMCustomer supportAI and agentstype 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
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens)
Process rating: all ten parameters 46/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 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. 8 mutating operations with no state check
- 40Consistency. Frontmatter name (Deal Desk — Structured Deal Review & Approval) differs from the folder (afrexai-deal-desk)
- 100Tools and files. No external tools needed
- 100Steps. 53 steps
- 100Execution cost. Instruction body is 1518 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 155: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 53 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.