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debate-synthesizer

Extracts the strongest arguments from heated YouTube comment threads, identifying key battlegrounds and community consensus.

58

Quality

66%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./python/agents/youtube-analyst/youtube_analyst/skills/debate-synthesizer/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

80%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.

A tight, lean instruction-only skill with concrete tool invocations and a well-sequenced six-step workflow. The main gap is the absence of any verification or fallback checkpoints (empty replies, no battlegrounds found) and an underspecified HTML publishing path.

Suggestions

Add a validation/fallback checkpoint after fetching comments, e.g. 'If no comment has a high reply_count, fall back to the most-liked comments or tell the user the thread is not polarized.'

Specify the HTML report structure (sections, table columns, heading) or point to a concrete layout so the publish step is executable rather than aspirational.

Clarify limits and edge handling for get_comment_replies (e.g. cap reply depth or count) so the deep-dive step is bounded and deterministic.

DimensionReasoningScore

Conciseness

Lean and imperative with zero padding — no concept explanations and every line instructs, matching the anchor where every token earns its place.

5 / 5

Actionability

Concrete tool calls with parameters (search_youtube, get_video_comments with order='relevance', get_comment_replies(comment_id), publish_file) and specific counts, but 'construct a clean HTML page showcasing the Pro vs Con table' is underspecified with no template or structure guidance.

4 / 5

Workflow Clarity

Six steps in a clear sequence, but validation checkpoints are entirely absent — no handling for empty replies, missing battleground comments, or non-polarized threads — and the batch fetching/processing of comments caps the score at 3.

3 / 5

Progressive Disclosure

Under 50 lines, single task, no external material needed; the guidelines allow a 5 for such skills with well-organized sections, which this has (Objective / Execution Steps / HTML Publishing Rule / Next Actions).

5 / 5

Total

17

/

20

Passed

Description

53%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 states a clear, concrete capability in a distinct niche, but it completely lacks 'when to use' trigger guidance, which both caps completeness and weakens trigger term coverage. Adding an explicit 'Use when...' clause with natural user phrasings (debate, controversy, summarize comments) would resolve the main weaknesses.

Suggestions

Append a 'Use when...' clause, e.g. 'Use when the user asks to summarize a debate, settle an argument, or find the best points in YouTube comments.'

Add natural trigger synonyms such as 'debate', 'controversy', 'argument', and 'both sides' so the description matches how users actually phrase the request.

Optionally enumerate a third concrete action (e.g. 'summarizes pro/con arguments into a debate brief') to lift specificity toward anchor 4.

DimensionReasoningScore

Specificity

Names the domain ('heated YouTube comment threads') with two concrete actions ('Extracts the strongest arguments', 'identifying key battlegrounds and community consensus'), but coverage is not comprehensive enough for anchor 4.

3 / 5

Completeness

The 'what' is clear and concrete, but there is no 'Use when...' clause or equivalent trigger guidance, which the judging guidelines cap at 3.

3 / 5

Trigger Term Quality

Relevant keywords like 'YouTube comment threads', 'arguments', and 'community consensus' are present, but common user phrasings such as 'debate', 'controversy', or 'summarize the comments' are missing.

3 / 5

Distinctiveness Conflict Risk

'Heated YouTube comment threads' carves a clear niche with minor overlap risk against generic comment-analysis skills; not anchor 5 because distinct trigger phrases are thin given the missing 'when' clause.

4 / 5

Total

13

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
google/adk-samples
Reviewed

Table of Contents

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