AB did-i-do-what-was-asked
Did I do what was asked? Does my reply match the request, and did the processing in between make sense? Use this after replying to a message, before marking a task handled, when a heartbeat or cron turn produced many tool calls for a small message, and when the user says 'that's not what I asked'. Compares the inbound request (keyword fingerprint, requested actions: send/fetch/create/change/run) with the reply that went out (keyword fingerprint, delivery) and the actions actually taken between them (tool calls, hosts, failures, seconds). Returns exactly COHERENT, PARTIAL, INCOHERENT or NO_PAIR with reasons. No model is consulted and no texts are stored. Do not use to judge tone or factual correctness — it cannot.
Did I do what was asked?
As a process B 66/100 · Nearly there — weak spots: inputs and preconditions, running it twice, 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 66/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 7 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 31 steps
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1377 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
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 722: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 31 items
- +3Output format is stated explicitly
- +4Has examples (1 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.