documenso-observability
Implement monitoring, logging, and tracing for Documenso integrations. Use when setting up observability, implementing metrics collection, or debugging production issues. Trigger with phrases like "documenso monitoring", "documenso metrics", "documenso logging", "documenso tracing", "documenso observability".
80
77%
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/documenso-pack/skills/documenso-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 solid skill description that clearly defines its scope (Documenso observability) and provides explicit trigger terms and use-when guidance. Its main weakness is that the capability description could be more specific about the concrete actions it performs beyond the high-level categories of monitoring, logging, and tracing. Overall it is well-structured and would perform well in skill selection.
Suggestions
Add more specific concrete actions such as 'configure structured logging, set up distributed tracing spans, create metric dashboards, define alerting rules' to improve specificity.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (monitoring/logging/tracing for Documenso) and some actions (setting up observability, implementing metrics collection, debugging production issues), but doesn't list specific concrete actions like 'configure log aggregation, set up distributed tracing, create dashboards, define alert rules'. | 2 / 3 |
Completeness | Clearly answers both 'what' (implement monitoring, logging, and tracing for Documenso integrations) and 'when' (setting up observability, implementing metrics collection, debugging production issues) with explicit trigger phrases listed. | 3 / 3 |
Trigger Term Quality | Includes a good set of natural trigger terms: 'documenso monitoring', 'documenso metrics', 'documenso logging', 'documenso tracing', 'documenso observability'. These are terms users would naturally use, and the explicit trigger phrase list is helpful. | 3 / 3 |
Distinctiveness Conflict Risk | The combination of 'Documenso' with 'monitoring/logging/tracing/observability' creates a very specific niche that is unlikely to conflict with other skills. The Documenso qualifier clearly distinguishes it from generic observability skills. | 3 / 3 |
Total | 11 / 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 skill with fully executable code examples covering metrics, logging, health checks, Prometheus integration, webhook monitoring, and alerting rules. Its main weaknesses are verbosity (the full implementations could be split into referenced files) and the lack of validation checkpoints between steps to verify each component works before building on it. The summary tables for metrics thresholds and error handling are a nice touch.
Suggestions
Add validation checkpoints between steps, e.g., 'After Step 1, call getMetrics() to verify counters increment' and 'After Step 3, curl /health/documenso to confirm the endpoint responds before configuring alerting.'
Split the detailed code implementations into separate referenced files (e.g., metrics-client.md, logging-setup.md) and keep SKILL.md as a concise overview with quick-start snippets pointing to those files.
Remove the Prerequisites section and the explanatory sentence in the Overview about Documenso not exposing rate limit headers — these add little actionable value.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly long (~200 lines of code) and includes some unnecessary commentary (e.g., 'Since Documenso does not expose rate limit headers...' in the overview, '// Never log API keys' comment). The code examples are substantive but the Proxy-based instrumentation wrapper is quite verbose when a simpler approach could suffice. The prerequisites section adds little value. | 2 / 3 |
Actionability | All code examples are fully executable TypeScript with proper imports, concrete implementations, and copy-paste ready patterns. The Prometheus metrics endpoint, health check, alerting rules YAML, and webhook monitoring are all specific and complete. | 3 / 3 |
Workflow Clarity | The steps are clearly sequenced (1-6) and logically ordered from client instrumentation through alerting. However, there are no validation checkpoints — no step says 'verify metrics are being collected before proceeding' or 'test the health endpoint before configuring alerts.' For a multi-step observability setup, missing verification between steps is a gap. | 2 / 3 |
Progressive Disclosure | The content is essentially monolithic — all six steps with full code are inline in a single file. The alerting rules YAML, metrics tables, and error handling tables are useful but the 200+ line document could benefit from splitting detailed implementations into separate files. The single reference to 'documenso-incident-runbook' at the end is good but minimal. | 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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