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scribe

Use when using Scribe.

40

Quality

50%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./plugins/zoom/skills/scribe/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

53%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 admirably lean and correctly structured as an overview-plus-references, but it is a pointer skeleton without substance: no executable guidance, and the reference section is mostly broken links that leave the actual content unreachable. Fixing the reference paths (or moving the files to match) is the single highest-impact repair.

Suggestions

Repair the reference section: create the missing concepts/, scenarios/, examples/, and troubleshooting/ files (or repoint those links to the existing files such as samples-validation.md, versioning-and-drift.md, and environment-variables.md), so all seven links resolve and no bundle file is orphaned.

Add one minimal concrete anchor to the body — a sample transcription request (endpoint, auth header, fast vs. batch mode parameter) and response field list — so step 4 is executable rather than directional.

Insert an explicit validation checkpoint into the workflow (e.g., 'verify webhook delivery and completed status before connecting downstream AI workflows') to satisfy the batch-pipeline feedback-loop requirement.

DimensionReasoningScore

Conciseness

The body is ~25 lean lines: a one-sentence scope statement ("Zoom Scribe transcription pipelines over uploaded or stored media"), a terse 5-step workflow, and a reference list. No padding and no explanations of concepts Claude already knows — every token earns its place, matching the top anchor.

5 / 5

Actionability

The workflow steps are high-level directives with nothing executable — no credential setup commands, no sample request, no endpoints, no code. This is 'Minimal concrete guidance; high-level hints but missing the specific steps to execute'; it misses score 3 because there is not even partial concrete detail (e.g., an API call or script) in the body.

2 / 5

Workflow Clarity

The 5 steps are clearly sequenced and step 5 gives a debug checklist, but there are no validation checkpoints between steps, and the batch webhook pipeline context triggers the cap ('Missing feedback loops in these contexts should cap workflow_clarity at 3'). Score 4 would require explicit checkpoints such as verifying webhook delivery before proceeding.

3 / 5

Progressive Disclosure

Of the 7 referenced files, 5 point to nonexistent paths (references/full-guide.md and references/api-reference.md are the only ones that resolve); concepts/, scenarios/, examples/, and troubleshooting/ do not exist, while 3 real bundle files (environment-variables.md, samples-validation.md, versioning-and-drift.md) are never referenced. Navigation to most content is broken and half the bundle is undiscoverable — closer to 'references are buried' / minimal usable structure than to anchor 3's 'some structure' with intact references.

2 / 5

Total

12

/

20

Passed

Description

23%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 a circular, trigger-only sentence that names no capability. It fails to tell Claude what the skill does and offers essentially no natural trigger vocabulary beyond the skill's own name.

Suggestions

State the 'what' explicitly: e.g., 'Build Zoom AI Services Scribe transcription pipelines over uploaded or stored media: credentials, ingestion, chunking, batching, and webhook callbacks.'

Add natural trigger terms users would actually say — 'transcription', 'transcribe', 'captions', 'Zoom media', 'batch transcription', 'webhook' — to the 'Use when' clause.

Distinguish the skill from adjacent options, e.g., 'Use when transcribing uploaded/stored media; for live meeting media, use RTMS or Meeting SDK bot workflows instead.'

DimensionReasoningScore

Specificity

The entire description is "Use when using Scribe." — no concrete actions or capabilities are named, only the product's own name. This matches the anchor 'Entirely vague; no concrete actions; pure abstract language' (cf. "Helps with documents"); not the level-above anchor, which requires the domain plus at least minimal actions.

1 / 5

Completeness

Only a 'when' is present ("Use when using Scribe") with no 'what' at all — exactly the anchor 'only when is present without what'. It cannot score 3 because a clear 'what' is entirely missing, and not 1 because an explicit trigger clause does exist.

2 / 5

Trigger Term Quality

The only keyword is the circular "Scribe" itself; natural phrases a user would say (transcription, captions, Zoom, media, batch, fast mode) are absent. It fits 'One or two generic keywords; missing the natural phrases users say' rather than score 1 only because "Scribe" is a real term a user might mention, and not score 3 because no relevant synonyms or variations appear.

2 / 5

Distinctiveness Conflict Risk

Naming the specific product "Scribe" gives it a niche, but the description never distinguishes it from closely related Zoom media skills (RTMS, Meeting SDK) whose differentiation lives only in the body. This is 'Somewhat specific but could still overlap with similar skills'; not 4 because no distinct triggers are given, not 2 because the product name does bound the domain.

3 / 5

Total

8

/

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 5 missing

Warning

Total

15

/

16

Passed

Repository

openai/plugins

Path

plugins/zoom/skills/scribe/SKILL.md

Reviewed

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