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AF podcast-episode-producer

Turn a topic and a chosen format (interview, solo, news, educational, story) into a recording-ready podcast script bundle — outline, full script, intro/outro copy, and per-segment TTS voiceover prompts — sized to 15, 30, or 60 minutes against a 150-words-per-minute planning rule. Auto-expands the brief into a 6-dimension production spec and confirms it before generating. Trigger when the user says "produce a podcast episode", "write a podcast script", "outline a podcast", "draft a podcast intro and outro", or "plan a 30-minute podcast".

genspark Agent Skills author: Genspark 1 file body ≈ 2 890 tokens Open the sourcegenspark.ai↗ analyzed 3 d ago

As a process F 68/100 · Will not run — References files that are not bundled: assets/format_picker.md, assets/episode_production_spec.md, assets/segment_timing_calculator.md

GeneratorMedia and videotype and topics are labelled automatically from the skill text
Runs in: Genspark Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
68/100
Will not run
References files that are not bundled: assets/format_picker.md, assets/episode_production_spec.md, assets/segment_timing_calculator.md
Tools and files w 18
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • 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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/format_picker.md
  • warning missing-ref reference to a missing file: assets/episode_production_spec.md
  • warning missing-ref reference to a missing file: assets/segment_timing_calculator.md
  • warning missing-ref reference to a missing file: assets/intro_outro_templates.md
  • warning missing-ref reference to a missing file: assets/sources_and_citations_protocol.md

Process rating: all ten parameters 68/100

Will not run. References files that are not bundled: assets/format_picker.md, assets/episode_production_spec.md, assets/segment_timing_calculator.md
  • 0Tools and files. 5 referenced file(s) missing: assets/format_picker.md, assets/episode_production_spec.md, assets/segment_timing_calculator.md
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 69 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 5 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2890 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

  • +4Description does not say when NOT to use the skill (false activations)
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 542: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 69 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.