AC guest-circuit
Podcast-appearance research for guest booking. Use when asked to "map someone's podcast circuit," "where has X podcasted," "research X before guest outreach," or "find an unclaimed angle for X." Sweeps Podcast Index, web search, and the guest's own channels in parallel, then delivers a circuit report: appearance timeline, stump speech, unclaimed angles, receptiveness signal, and a specific pitch angle.
Podcast-appearance research for guest booking.
As a process C 51/100 · 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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Podcast-appearance research for guest booking. Use when asked to "… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
Process rating: all ten parameters 51/100
- 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
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (guest-circuit) differs from the folder (cot-guest-circuit)
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 31 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Execution cost. Instruction body is 2718 tokens
- 100Running it twice. Mutating operations check current state
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 4 example trigger phrases
- +3Description length 405: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 31 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.