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deepgram-debug-bundle

Collect Deepgram debug evidence for support and troubleshooting. Use when preparing support tickets, investigating issues, or collecting diagnostic information for Deepgram problems. Trigger: "deepgram debug", "deepgram support ticket", "collect deepgram logs", "deepgram diagnostic", "deepgram debug bundle".

71

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

The skill is highly actionable with executable, well-sequenced diagnostic collection code and clear error recovery, but it inlines substantial content that duplicates an unlinked reference file, mildly hurting both conciseness and progressive disclosure.

Suggestions

Replace the inlined full scripts in Steps 1-5 with concise summaries and link to references/implementation.md for the complete code, eliminating the duplication and reducing token load.

Add an explicit cross-reference (e.g., 'See [implementation.md](references/implementation.md) for full runnable scripts') so the existing bundle file is actually discoverable from the body.

Add a brief verification checkpoint before the final tar step (e.g., confirm environment.txt, connectivity.txt, and audio-analysis.txt exist and are non-empty) to strengthen the workflow feedback loop.

DimensionReasoningScore

Conciseness

The body is almost entirely executable code that earns its tokens and avoids explaining concepts Claude already knows, but it is long (~277 lines) with full scripts inlined that largely duplicate the bundled references/implementation.md. Not level 3 because that redundancy and the fully-inlined scripts could be tightened by deferring detail to the reference; not level 1 because there is little conceptual padding.

2 / 3

Actionability

Provides copy-paste-ready, fully executable bash and TypeScript code with specific commands, sample audio URLs, real API endpoints, and an error-handling table mapping issues to causes and resolutions. Not level 2 because the examples are complete rather than pseudocode and include concrete redaction and packaging steps.

3 / 3

Workflow Clarity

Six clearly numbered Steps sequence the collection process, with a final sanitization pass acting as a verification checkpoint before packaging and an Error Handling table providing cause/resolution feedback loops. Not level 2 because explicit checkpoints and recovery guidance are present; the task is non-destructive diagnostics, so the destructive-operation cap does not apply.

3 / 3

Progressive Disclosure

The body is well-sectioned (not a monolithic wall) but inlines the full scripts while a provided references/implementation.md is never linked or signaled from the body, so navigation to the bundle is missing. Not level 1 because sections are organized and references are not deeply nested; not level 3 because the existing reference is unused and content that should be deferred is inline.

2 / 3

Total

10

/

12

Passed

Description

100%

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 specific, complete, and well-triggered, clearly stating what the skill does and when to use it with natural trigger phrases. Voice is appropriately third-person/imperative with no first- or second-person penalty.

DimensionReasoningScore

Specificity

Lists several concrete actions — 'Collect Deepgram debug evidence', 'preparing support tickets', 'investigating issues', 'collecting diagnostic information' — naming the domain and multiple specific activities rather than vague abstractions. Not level 2 because it goes beyond naming a domain plus one action; not below 3 because the actions are explicit and tied to a concrete deliverable.

3 / 3

Completeness

Explicitly answers both what ('Collect Deepgram debug evidence for support and troubleshooting') and when ('Use when preparing support tickets, investigating issues, or collecting diagnostic information for Deepgram problems'). The explicit 'Use when' clause plus trigger guidance satisfies the level-3 anchor and avoids the cap noted for missing trigger guidance.

3 / 3

Trigger Term Quality

Provides an explicit Trigger list of natural phrases a user would actually say: 'deepgram debug', 'deepgram support ticket', 'collect deepgram logs', 'deepgram diagnostic', 'deepgram debug bundle'. Good coverage of common variations rather than jargon, matching the level-3 anchor.

3 / 3

Distinctiveness Conflict Risk

The Deepgram-specific niche and Deepgram-qualified triggers ('deepgram debug', 'deepgram support ticket') make it clearly distinguishable and unlikely to fire for unrelated skills. Not level 2 because the scope is narrowly scoped to one vendor's diagnostics rather than overlapping with general debugging skills.

3 / 3

Total

12

/

12

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.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

14

/

16

Passed

Repository
jeremylongshore/claude-code-plugins-plus-skills
Reviewed

Table of Contents

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