Collect Juicebox debug evidence. Trigger: "juicebox debug", "juicebox support ticket".
50
56%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/saas-packs/juicebox-pack/skills/juicebox-debug-bundle/SKILL.mdQuality
Discovery
47%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 highly distinctive due to the specific product name 'Juicebox' but lacks depth in describing what concrete actions the skill performs. The trigger terms are present but narrow, and the 'what' portion is too vague to help Claude understand the full scope of the skill's capabilities.
Suggestions
Expand the 'what' clause with specific actions, e.g., 'Collects Juicebox debug evidence including logs, configuration files, error traces, and system state snapshots.'
Add a 'Use when...' clause describing scenarios, e.g., 'Use when the user needs to gather diagnostic information for Juicebox issues, file support tickets, or troubleshoot Juicebox errors.'
Include additional natural trigger terms like 'juicebox logs', 'juicebox troubleshoot', 'juicebox error', 'juicebox diagnostics'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description says 'Collect Juicebox debug evidence' which is a single vague action. It doesn't list specific concrete actions like what kind of evidence is collected, what tools are used, or what outputs are produced. | 1 / 3 |
Completeness | It has a minimal 'what' (collect debug evidence) and provides explicit trigger terms, but the 'when' guidance is limited to just listing trigger phrases rather than describing scenarios. The trigger terms partially serve as 'when' guidance but the 'what' is too thin. | 2 / 3 |
Trigger Term Quality | It includes 'juicebox debug' and 'juicebox support ticket' which are relevant trigger terms, but coverage is limited. Missing natural variations like 'juicebox logs', 'juicebox troubleshoot', 'juicebox issue', or 'juicebox diagnostics'. | 2 / 3 |
Distinctiveness Conflict Risk | The description is clearly scoped to 'Juicebox' which is a specific product, and 'debug evidence' combined with 'support ticket' creates a distinct niche that is unlikely to conflict with other skills. | 3 / 3 |
Total | 8 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid, actionable debug skill with executable scripts and a useful diagnostic table. Its main weaknesses are the lack of validation checkpoints in the collection workflow (e.g., checking API key before running all curls, verifying collected JSON is valid) and some redundancy between the bash script and TypeScript health check. The content could be tightened by removing the duplicate health check and trimming the overview.
Suggestions
Add a validation step after collection — e.g., check that quota.json contains valid JSON before archiving, and exit early with a clear message if JUICEBOX_API_KEY is unset.
Remove or move the TypeScript health check to a separate referenced file, as it largely duplicates the bash script's functionality and adds token cost.
Make the 'juicebox-common-errors' reference a proper file link (e.g., [COMMON-ERRORS.md](COMMON-ERRORS.md)) so navigation is unambiguous.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient but includes some unnecessary elements — the TypeScript health check largely duplicates what the bash script already covers, and the overview paragraph explains what a debug bundle is, which Claude can infer. The common issues table is valuable and dense, though. | 2 / 3 |
Actionability | The bash collection script and analysis commands are fully executable and copy-paste ready. The common issues table provides specific, concrete fixes. The TypeScript health check is also complete and runnable. | 3 / 3 |
Workflow Clarity | The collection and analysis steps are clear, but there's no explicit validation checkpoint — the script doesn't verify that collected files contain valid JSON or that the API key is actually set before proceeding with all curl calls. The workflow is sequential but lacks feedback loops for error recovery. | 2 / 3 |
Progressive Disclosure | The content is reasonably structured with clear sections, but everything is inline in a single file. The TypeScript health check and the detailed common issues table could be split into referenced files. The 'See juicebox-common-errors' reference at the end is good but the link format is unclear (not a proper file reference). | 2 / 3 |
Total | 9 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
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 | 9 / 11 Passed | |
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Table of Contents
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