SKILLEMALL.ai
GitHub ↗ RU Sign in

AB podcast

Use when the user wants to turn an article/blog/text into a published podcast episode: triggers like "生成播客""做一期播客""博客转播客""文章转播客""发布/更新播客""blog to podcast", or when they hand over a URL / text / a batch of source material to be turned into an audio show. ALSO use for maintaining published episodes: "只改 shownotes" "更新单集描述""换封面""修 RSS feed""小宇宙没更新" (update_metadata / --init paths). SKIP: plain read-this-text-aloud TTS requests - call TTS directly, this pipeline is overkill.

ClawHub Agent Skills author: Wu Haohua v1.0.0 MIT-0 30 files body ≈ 3 342 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 70/100 · Nearly there — weak spots: inputs and preconditions, running it twice

ProcedureMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
95
Quality 40%
100
Run on models
none yet
Process rating
B
70/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

    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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token assets/mic_tap.b64.txt:47
      High-entropy token-like string (may be an id, hash or a credential)
      ffM+86Hy0/HV8G…vtm+xH7F…zkU+MS4kfhFt8O
    • low Secrets in code secret-high-entropy-token assets/mic_tap.b64.txt:51
      High-entropy token-like string (may be an id, hash or a credential)
      fyLh…dzJ+QnIS…rCk+KSQp…int
    • low Secrets in code secret-high-entropy-token assets/mic_tap.b64.txt:55
      High-entropy token-like string (may be an id, hash or a credential)
      UeNm4nHhk+Ck39…lNX+1G3U…dBN
    • low Secrets in code secret-high-entropy-token assets/mic_tap.b64.txt:59
      High-entropy token-like string (may be an id, hash or a credential)
      sPax…Pm9+sf7x/zM/cz+vf/DALs…igV+BnwH…BBS
    • low Secrets in code secret-high-entropy-token assets/mic_tap.b64.txt:86
      High-entropy token-like string (may be an id, hash or a credential)
      ANEA…tgC+ALwA…KAA

    Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 70/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 24 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 20 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3342 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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)
    • +2Single-language instructions
    • +5Description quotes 6 example trigger phrases
    • +3Description length 475: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 20 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)
    • +3All 9 scripts are documented
    • +1License stated

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

    External checks

    ClawHub: suspicious
    The skill mostly matches its podcast-generation purpose, but it includes sensitive browser/proxy credential handling and cloud publishing workflows that users should review before installing.
    LLM: suspicious (high) · 19 Jul 2026