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viral-chaser

视频追爆与 DNA 样本分析。产出结构、声画风格与制作指向的拆解报告。也可分析用户提供的本地视频。只处理视频,制作另交 content-producer。

Quality

79%

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 ./crews/main/skills/viral-chaser/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

88%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 a dense, executable runbook: concrete commands, a full output contract, explicit failure handling, and a precise downstream report/DNA format, with verified references into a small scripts bundle. Its only weaknesses are modest repetition and a couple of large inlined artifacts that would fit better in reference files.

DimensionReasoningScore

Conciseness

Nearly every section carries non-obvious operational detail (ASR provider ordering, frame-sampling percentages, exit codes, DNA template) with no padding explaining known concepts. Minor repetition — "不编造"/"接口未返回" stated three times and the production boundary restated several times — keeps it below a 5.

4 / 5

Actionability

Copy-paste-ready commands with all flags (`douyin-hunter fetch --url … --video-only --download-media`, `viral-chaser --video … --output-dir …`), a complete output JSON schema, exit-code semantics, exact report table formats, and a verbatim DNA transcript template with the destination path. Specific examples cover the common cases per platform.

5 / 5

Workflow Clarity

Steps 1–4 are clearly sequenced with explicit validation: documented exit codes 0/1/2, abort rules (hunter failure → do not run analyzer), required handling of warning flags (`KEY_FRAMES_PARTIAL`, `transcript.truncated`), and the checkpoint "只有转写与抽帧完成并核对结果后才写分析结论".

5 / 5

Progressive Disclosure

Referenced bundle files are real and one level deep (viral-chaser wrapper → scripts/analyzer.ts; scripts/audio_extractor.ts, transcriber.ts exist), and the body is well-sectioned. The ~30-line inlined output JSON schema and the DNA sample template could live in references/ files, which is a minor organization gap.

4 / 5

Total

18

/

20

Passed

Description

62%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 communicates a distinct niche and concrete outputs in compact third-person form, but it lacks any "Use when…" trigger guidance and misses the natural trigger terms (platform names, 爆款, links, video file extensions) that would route users to it. Adding an explicit when-clause with those terms would lift the two lowest dimensions.

Suggestions

Append an explicit trigger clause, e.g. "Use when the user provides a 抖音/小红书/快手/TikTok/X/微博 video link or a local video file (.mp4) and wants a 爆款 breakdown / 拆解分析 of it."

Include the natural user-facing keywords in the description itself: platform names (抖音, TikTok, 小红书), 爆款视频, 拆解, and the .mp4 extension, so trigger matching does not depend on the body text.

State the concrete capabilities the report pipeline implies (transcription with timestamps, key-frame visual sampling, structure percentage breakdown) so the "what" coverage matches what the skill actually does.

DimensionReasoningScore

Specificity

Names several concrete deliverables — "产出结构、声画风格与制作指向的拆解报告", "也可分析用户提供的本地视频" — plus an explicit boundary ("只处理视频,制作另交 content-producer"). Not a 5 because it omits core capabilities like transcription, key-frame extraction, and link/platform ingestion.

4 / 5

Completeness

The "what" is clear (breakdown report covering structure, audiovisual style, and production direction), but there is no "Use when…" clause or equivalent explicit trigger guidance; "只处理视频" is a boundary statement, not a trigger. Per the rubric guideline, a missing when-clause caps completeness at 3.

3 / 5

Trigger Term Quality

"视频追爆", "拆解报告", "DNA 样本", "本地视频" are relevant keywords, but the phrases users would naturally say — platform names (抖音 / TikTok / 小红书), "爆款视频", "链接", .mp4 — are all missing. Some relevant keywords, missing common variations.

3 / 5

Distinctiveness Conflict Risk

Clear niche (viral-video breakdown and DNA sample analysis) with an explicit hand-off to content-producer for production, so it is unlikely to trigger for the wrong skill. Explicitly scoping to 视频 and delegating 制作 minimizes overlap.

5 / 5

Total

15

/

20

Passed

Validation

87%

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

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

14

/

16

Passed

Repository

TeamWiseFlow/xiaobei

Path

crews/main/skills/viral-chaser/SKILL.md

Reviewed

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