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error-diagnostics-error-trace

You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging,

33

Quality

29%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/error-diagnostics-error-trace/SKILL.md

The canonical home for this skill is error-diagnostics-error-trace in rmyndharis/antigravity-skills

SKILL.md
Quality
Evals
Security

Quality

Content

17%Scale 1-5

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

This skill is essentially a generic template with no domain-specific, actionable content. It lacks any concrete code examples, specific tool configurations (e.g., Sentry, Datadog), structured logging patterns, or alert rule definitions. The instructions are entirely abstract directives that don't teach Claude anything it doesn't already know, and the referenced playbook file doesn't exist in the bundle.

Suggestions

Add concrete, executable code examples for at least one error tracking service (e.g., Sentry SDK initialization, structured logging with Python's logging module, or alert rule configuration in a specific platform).

Replace the vague instructions ('Apply relevant best practices', 'Clarify goals') with specific step-by-step workflows including validation checkpoints, e.g., 'After configuring Sentry DSN, trigger a test error and verify it appears in the dashboard.'

Either provide the referenced 'resources/implementation-playbook.md' bundle file with real patterns and examples, or inline the essential content directly in the SKILL.md.

Remove the generic 'Use this skill when' / 'Do not use this skill when' sections and the redundant Context block to reduce token waste, and use that space for actionable content instead.

DimensionReasoningScore

Conciseness

The skill contains significant padding: the 'Use this skill when' / 'Do not use this skill when' sections are generic filler, the Context section restates the description, and the Output Format lists 8 high-level deliverables without any concrete detail. Much of this is unnecessary for Claude.

2 / 5

Actionability

The skill provides no concrete code, commands, configuration snippets, or specific examples. Every instruction is vague and abstract ('Apply relevant best practices', 'Provide actionable steps and verification'). There is nothing executable or copy-paste ready.

1 / 5

Workflow Clarity

There is a rough implied sequence (analyze → configure → implement → alert → dashboard → document), but steps are poorly defined with no specific commands, no validation checkpoints, and no feedback loops. The instructions are generic directives rather than a clear workflow.

2 / 5

Progressive Disclosure

The skill references 'resources/implementation-playbook.md' but no bundle files are provided, so the reference is unverifiable and potentially broken. The SKILL.md itself is thin on content while claiming detailed patterns exist elsewhere, creating a hollow structure.

2 / 5

Total

7

/

20

Passed

Description

41%Scale 1-5

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 truncated mid-sentence, which severely undermines its completeness and usefulness. While it identifies a clear domain (error tracking/observability) and lists a few concrete actions, it lacks a 'Use when...' clause and misses common trigger terms users would naturally use. The first-person framing is avoided (uses imperative voice), but the incomplete nature makes it unreliable for skill selection.

Suggestions

Complete the truncated description and add a 'Use when...' clause with explicit trigger phrases like 'Use when the user asks about error monitoring, crash reporting, setting up Sentry/Datadog, log aggregation, or observability pipelines'.

Add common tool names and synonyms as trigger terms (e.g., 'Sentry', 'Datadog', 'PagerDuty', 'exception tracking', 'APM', 'log management') to improve keyword coverage.

Expand the list of concrete actions to differentiate from general DevOps or logging skills, e.g., 'integrate error tracking SDKs, set up alert thresholds, create error dashboards, implement log correlation'.

DimensionReasoningScore

Specificity

Names the domain (error tracking and observability) and lists a few concrete actions (set up error tracking systems, configure alerts, implement structured logging), but the description appears truncated and coverage is incomplete.

3 / 5

Completeness

Has a partial 'what' (set up error tracking, configure alerts, implement structured logging) but the description is truncated and there is no 'when' clause or trigger guidance. The missing 'Use when...' clause caps this at 3, and the truncation further reduces it.

2 / 5

Trigger Term Quality

Includes relevant keywords like 'error tracking', 'observability', 'alerts', 'structured logging', and 'error monitoring', but misses common user-facing synonyms and natural phrases like 'Sentry', 'Datadog', 'log aggregation', 'crash reporting', 'exception handling', or 'APM'.

3 / 5

Distinctiveness Conflict Risk

The focus on error tracking and observability is somewhat specific, but terms like 'structured logging' and 'alerts' could overlap with general DevOps, monitoring, or logging skills. The truncated description doesn't help narrow the niche.

3 / 5

Total

11

/

20

Passed

Validation

90%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

10

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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