evernote-observability
Implement observability for Evernote integrations. Use when setting up monitoring, logging, tracing, or alerting for Evernote applications. Trigger with phrases like "evernote monitoring", "evernote logging", "evernote metrics", "evernote observability".
74
70%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/saas-packs/evernote-pack/skills/evernote-observability/SKILL.mdQuality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a well-structured skill description with clear 'what' and 'when' clauses and explicit trigger terms. Its main weakness is that the capabilities described are somewhat high-level—listing observability categories (monitoring, logging, tracing, alerting) rather than specific concrete actions. The Evernote-specific focus gives it excellent distinctiveness.
Suggestions
Add more specific concrete actions beyond category names, e.g., 'Configure structured logging, set up distributed tracing, create alerting rules, build monitoring dashboards for Evernote integrations.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (observability for Evernote integrations) and lists some actions (monitoring, logging, tracing, alerting), but these are high-level categories rather than concrete specific actions like 'configure log aggregation' or 'set up distributed tracing with OpenTelemetry'. | 2 / 3 |
Completeness | Clearly answers both 'what' (implement observability for Evernote integrations) and 'when' (explicit 'Use when' clause for monitoring/logging/tracing/alerting, plus explicit trigger phrases). Both components are present and well-structured. | 3 / 3 |
Trigger Term Quality | Includes natural trigger terms users would say: 'evernote monitoring', 'evernote logging', 'evernote metrics', 'evernote observability', plus related terms like 'tracing' and 'alerting'. Good coverage of variations a user might naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | The combination of 'Evernote' + 'observability/monitoring/logging' creates a very specific niche that is unlikely to conflict with other skills. The Evernote qualifier strongly narrows the scope. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a reasonable overview of Evernote observability with some executable code examples for metrics and logging, but falls short on completeness—several steps lack concrete implementation code (health endpoints, instrumented client). The workflow lacks validation checkpoints for verifying the observability pipeline works end-to-end, and referenced files don't exist in the bundle.
Suggestions
Add executable code for Steps 2 and 4 (instrumented client proxy and health/readiness endpoints) instead of just describing them
Add validation checkpoints: e.g., 'Verify metrics are scraped: curl localhost:9090/api/v1/targets' and 'Test alert rules: promtool check rules prometheus-alerts.yml'
Either provide the referenced 'references/implementation-guide.md' bundle file or inline the critical content it would contain
Remove the Output section which largely duplicates the step descriptions, or convert it to a verification checklist
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill includes some unnecessary explanation (e.g., describing what health/readiness endpoints mean, explaining what a Proxy does in Step 2) and the Output section largely repeats what was already covered. However, it's not egregiously verbose and most content is relevant. | 2 / 3 |
Actionability | Steps 1, 3, and 5 provide executable code snippets, but Step 2 is entirely descriptive with no code, Step 4 lacks implementation code for the health endpoints, and the Examples section describes dashboards conceptually rather than providing concrete configurations. Key pieces are pseudocode-level or missing. | 2 / 3 |
Workflow Clarity | Steps are numbered and sequenced logically, but there are no validation checkpoints or feedback loops. For an observability setup involving multiple infrastructure components, there's no guidance on verifying that metrics are being scraped, logs are flowing, or alerts are firing correctly. | 2 / 3 |
Progressive Disclosure | The skill references an implementation guide at 'references/implementation-guide.md' and an incident runbook, which is good structure. However, no bundle files exist to support these references, and substantial inline content (like the full alert YAML and metrics code) could be better organized with the referenced files actually present. | 2 / 3 |
Total | 8 / 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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