BB Pipeline
Diagnose pipeline health, detect stalled deals, and surface what needs attention this week. Built for sales teams managing active opportunities.
Diagnose pipeline health, detect stalled deals, and surface what needs attention this week.
As a process B 69/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting
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: 5. 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 69/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 60Result and completion. Output format stated, no completion criterion
- 65Failures and branches. 3 branches
- 100Tools and files. No external tools needed
- 100Steps. 140 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2205 tokens
- 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 144: enough signal without eating the budget
- +4Structure: 27 headings
- +3Step-by-step instructions: 140 items
- +3Output format is stated explicitly
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.
External checks
ClawHub: clean
This skill appears to be a plain sales-pipeline analysis helper with no evidence of hidden code, credential use, persistence, or data exfiltration.
LLM: benign (medium) · VirusTotal: benign · 28 May 2026