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error-monitoring

Use when setting up a new project's production observability stack, reviewing incident response readiness, or investigating why errors are going undetected.

54

Quality

61%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./skills/error-monitoring/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

57%

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

The body is a well-organized, appropriately-delegated overview with strong progressive disclosure, but it carries motivational padding and offers no executable code or verification step in-body. Tightening the intro and adding a validation checkpoint would raise the weaker dimensions.

Suggestions

Cut or shrink the intro paragraph that motivates error monitoring (MTTD, breadcrumbs) — Claude already knows this; lead straight into the actionable Quick Reference.

Add a brief verification step to the workflow, e.g. 'Trigger a test exception in production and confirm an event appears with correct release/environment tags before enabling on-call alerts.'

Inline one minimal executable snippet (e.g. a Sentry.init call with DSN, environment, and release) so the body is copy-paste ready rather than requiring the reference for any concrete example.

DimensionReasoningScore

Conciseness

The Quick Reference and the one-sentence Check/Fix/Explain/Code Review sections are lean, but the intro paragraph explains error-monitoring benefits (MTTD, breadcrumbs) that Claude already knows, which is padding.

2 / 3

Actionability

Guidance is concrete and specific (named SDKs, signals to capture, tags to attach), but no executable code or commands appear in the body — implementation detail is offloaded to references/rule.md.

2 / 3

Workflow Clarity

The Quick Reference implies an install→capture→attach→configure sequence, but there is no explicit validation/verification checkpoint (e.g., confirm events arrive or test that an alert fires).

2 / 3

Progressive Disclosure

A concise overview body points to a single, clearly-signaled, one-level-deep reference ('see references/rule.md') that exists and is not nested, matching the anchor-3 split-and-navigate pattern.

3 / 3

Total

9

/

12

Passed

Description

65%

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 trigger-rich and uses natural language, but it is almost entirely a 'when' clause with no explicit statement of what the skill does. Adding concrete capability verbs up front would lift both specificity and completeness.

Suggestions

Lead with the skill's concrete capabilities (e.g., 'Integrate an error monitoring SDK, configure release/environment tagging, and set up critical-error alerts') before the 'Use when...' clause so 'what' is explicit, not just implied.

Add the most direct natural keyword 'error monitoring' and common tool names (Sentry, Datadog, Bugsnag) to broaden trigger coverage beyond scenario phrases.

Narrow the triggers to the error-monitoring niche (e.g., drop the broad 'incident response readiness' or scope it to 'error alerting') to reduce overlap with generic observability or incident-management skills.

DimensionReasoningScore

Specificity

Verb phrases ('setting up...stack', 'reviewing...readiness', 'investigating why errors...') name the observability domain and some actions, but stop short of listing multiple concrete capabilities like the anchor-3 example.

2 / 3

Completeness

The 'Use when...' clause gives an explicit, strong 'when', but the 'what' is only implied through scenario verbs and is never stated as concrete capabilities, falling short of the anchor-3 'both what AND when'.

2 / 3

Trigger Term Quality

Three natural, varied, user-realistic trigger phrases ('production observability stack', 'incident response readiness', 'errors going undetected') give good coverage of terms a user would actually say.

3 / 3

Distinctiveness Conflict Risk

The error-monitoring niche is somewhat specific, but 'production observability' and 'incident response readiness' could plausibly overlap with sibling observability or incident-management skills.

2 / 3

Total

9

/

12

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository
thedaviddias/Front-End-Checklist
Reviewed

Table of Contents

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