AC monitor-buying-signals
Watch a list of target accounts for the public events that mean someone is in market, powered by Cargo — hiring for the role you sell into, saying something new, or turning up in a detection feed, each with a date and a link. Triggers: "tell me when these accounts do something", "what changed at my target accounts", "who is in market right now", "set up intent monitoring", "watch these companies for me", "any triggers on this list". Intent, triggers, watchlist, timing, freshness. Skip when: you have no account list yet — use build-tam-list; or you want a verdict on fit rather than on timing — use score-leads.
Watch a list of target accounts for the public events that mean someone is in market, powered by Cargo — hiring for the role you sell into, saying something…
As a process C 64/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting
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: 2. 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 64/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 50Failures and branches. 0 branches, has a failure section
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 8 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2167 tokens
- 100Running it twice. Mutating operations check current state
- low 11 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 616: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 8 items
- +4Has examples (6 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.