BF lead-gen-website-pipeline
Automated lead generation pipeline that finds local businesses with weak/no websites, AI-generates custom demo sites, deploys to Vercel, and runs a 5-email cold outreach drip sequence via AgentMail. Full pipeline from Google Places discovery to closed deal.
As a process F 49/100 · Will not run — References files that are not bundled: scripts/niche-defaults.json, templates/designs/<niche>.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: scripts/niche-defaults.json - warning
missing-refreference to a missing file: templates/designs/<niche>.md - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 49/100
- 0Tools and files. 2 referenced file(s) missing: scripts/niche-defaults.json, templates/designs/<niche>.md
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 13 mutating operations with no state check
- 40Consistency. Frontmatter name (lead-gen-website-pipeline) differs from the folder (skill-package)
- 50Failures and branches. 0 branches, has a failure section
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 45 steps
- 100Execution cost. Instruction body is 2055 tokens
- low 10 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)
- -43 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 257: enough signal without eating the budget
- +4Structure: 33 headings
- +3Step-by-step instructions: 45 items
- +3Output format is stated explicitly
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.