AC account-scoring
Tier every company in your TAM A / B / C / disqualified with a deployed agent that reads your ICP and tiering rubric from the workspace context, web-searches only to settle a doubt, and writes the tier, a two-sentence reason and its evidence back onto the row, then keeps new companies tiered as they land. Triggers: "score our TAM", "tier the market we just sourced", "which accounts should the team work first", "why is this account tier A", "keep our accounts tiered as they arrive", "our lead scoring is a spreadsheet nobody trusts". Cargo CDK, defineAgent, webSearch, workspace context, tam_companies, tier segments. Skip when: someone hands you a list and wants it scored once, which is score-leads; or there is no account universe yet, which is tam-building.
Tier every company in your TAM A / B / C / disqualified with a deployed agent that reads your ICP and tiering rubric from the workspace context, web-searches…
As a process C 55/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 12. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 55/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Result and completion. Does not say what the result is
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
- 70Execution cost. Instruction body is 4288 tokens
- 100Steps. 27 steps
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- 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
- +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
- +5Description quotes 6 example trigger phrases
- +3Description length 765: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 27 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.