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podcast-generation

Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.

64

Quality

78%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./skills/public/podcast-generation/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

68%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is highly actionable with executable commands and a full example, and is reasonably well structured. It loses points for redundant sections (the JSON schema and several notes are repeated) and for lacking a validation checkpoint in a batch audio-generation workflow; it also references a template file that is missing from the bundle.

Suggestions

De-duplicate the script JSON schema: keep it in one place ('Script JSON Format') and reference it from Step 2 instead of repeating it.

Add a verification checkpoint after generation (e.g. confirm the MP3 and transcript files exist and are non-empty, with retry guidance if the script reports an error) to satisfy the batch-operation feedback-loop requirement.

Either ship templates/tech-explainer.md or remove the dangling link under 'Specific Templates' so every referenced file resolves.

DimensionReasoningScore

Conciseness

Mostly efficient but padded: the script JSON structure appears twice (Step 2 and the 'Script JSON Format' section), 'Hello Deer' and output/notes guidance are repeated across overlapping sections, and Notes restate earlier rules.

3 / 5

Actionability

Provides a fully executable python invocation with all required and optional flags, a concrete JSON schema, and a complete copy-paste-ready worked example covering the common case.

5 / 5

Workflow Clarity

The three steps are clearly sequenced, but this is a batch audio-generation operation with no validation/verification checkpoint (the skill even tells Claude not to split the workflow), and Output Handling lacks any error-recovery feedback loop, so the batch-operation cap applies.

3 / 5

Progressive Disclosure

Good sectioning with a one-level-deep conditional reference to templates/tech-explainer.md that is clearly signaled; however that referenced file is absent from the bundle, a minor organization gap that keeps it below 5.

4 / 5

Total

15

/

20

Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is strong: it names concrete actions, supplies natural trigger verbs, and explicitly covers both what the skill does and when to use it. Minor specificity gaps (generic 'text content', no audio/file-extension terms) keep a couple dimensions at 4 rather than 5.

DimensionReasoningScore

Specificity

Lists several concrete actions ('generate, create, or produce podcasts', 'Converts written content into a two-host conversational podcast audio format') but leaves input scope generic as 'text content', a minor coverage gap versus score 5.

4 / 5

Completeness

Explicitly answers both 'what' ('Converts written content into a two-host conversational podcast audio format with natural dialogue') and 'when' ('Use this skill when the user requests to generate, create, or produce podcasts') with concrete trigger phrases, paralleling a good_overall example.

5 / 5

Trigger Term Quality

Covers natural user verbs with synonyms (generate/create/produce podcasts) and 'from text content', good coverage but missing a few natural terms like 'audio' or file extensions that would push it to 5.

4 / 5

Distinctiveness Conflict Risk

'podcasts from text content' and 'two-host conversational podcast audio' carve a clear niche with distinct, low-conflict triggers unlikely to fire for unrelated skills.

5 / 5

Total

18

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 1 missing

Warning

Total

15

/

16

Passed

Repository
bytedance/deer-flow
Reviewed

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