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collecting-infrastructure-metrics

tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill collecting-infrastructure-metrics

Collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases. Use when monitoring system performance or troubleshooting infrastructure issues. Trigger with phrases like "collect infrastructure metrics", "monitor server performance", or "track system resources".

60%

Overall

Validation

Implementation

Activation

SKILL.md
Review
Evals

Validation

81%
CriteriaDescriptionResult

skill_md_line_count

SKILL.md line count is 97 (<= 500)

Pass

frontmatter_valid

YAML frontmatter is valid

Pass

name_field

'name' field is valid: 'collecting-infrastructure-metrics'

Pass

description_field

'description' field is valid (333 chars)

Pass

description_voice

'description' uses third person voice

Pass

description_trigger_hint

Description includes an explicit trigger hint

Pass

compatibility_field

'compatibility' field not present (optional)

Pass

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

metadata_version

'metadata' field is not a dictionary

Warning

metadata_field

'metadata' field not present (optional)

Pass

license_field

'license' field is present: MIT

Pass

frontmatter_unknown_keys

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

Warning

body_present

SKILL.md body is present

Pass

body_examples

Examples detected (code fence or 'Example' wording)

Pass

body_output_format

Output/return/format terms detected

Pass

body_steps

Step-by-step structure detected (ordered list)

Pass

Total

13

/

16

Passed

Implementation

20%

This skill reads more like a product description or README than actionable guidance for Claude. It extensively describes what the skill does and when to use it, but provides no concrete code, configuration examples, or executable commands. The content assumes Claude needs to be told what infrastructure monitoring is rather than how to actually configure specific tools.

Suggestions

  • Replace abstract descriptions with executable configuration examples (e.g., actual Prometheus scrape configs, Datadog agent YAML, CloudWatch metric filters)
  • Remove meta-sections like 'How It Works', 'When to Use This Skill', and 'Overview' - these explain concepts Claude already understands
  • Add concrete code snippets for each agent type showing actual installation commands and configuration file contents
  • Include validation steps with specific commands to verify metrics are being collected (e.g., 'curl localhost:9090/metrics' for Prometheus)
DimensionReasoningScore

Conciseness

Extremely verbose with extensive explanation of concepts Claude already knows. Sections like 'How It Works', 'When to Use This Skill', and 'Overview' are redundant meta-descriptions that don't add actionable value. The content explains what the skill does rather than how to do it.

1 / 3

Actionability

No executable code, commands, or concrete configuration examples. The 'Instructions' section lists abstract steps like 'Configure agent with target endpoints' without showing actual configuration syntax, commands, or file formats. Examples describe what the skill 'will do' rather than showing how.

1 / 3

Workflow Clarity

Steps are listed in the Instructions section with a logical sequence, and Error Handling provides troubleshooting guidance. However, there are no validation checkpoints, no feedback loops for verifying successful configuration, and no explicit verification steps between stages.

2 / 3

Progressive Disclosure

Content is organized into sections but everything is inline in one file. The Resources section mentions external documentation but doesn't link to project-specific detailed guides. Content that could be split (agent-specific configs, dashboard templates) is described abstractly rather than referenced.

2 / 3

Total

6

/

12

Passed

Activation

100%

This is a well-crafted skill description that excels across all dimensions. It provides specific infrastructure domains, includes natural trigger phrases users would actually say, clearly separates the 'what' and 'when' clauses, and establishes a distinct niche for infrastructure monitoring. The description uses proper third-person voice throughout.

DimensionReasoningScore

Specificity

Lists multiple specific concrete domains: 'compute, storage, network, containers, load balancers, and databases' - this provides comprehensive coverage of infrastructure components and clearly describes the action of collecting performance metrics.

3 / 3

Completeness

Clearly answers both what ('Collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases') and when ('Use when monitoring system performance or troubleshooting infrastructure issues') with explicit trigger phrases.

3 / 3

Trigger Term Quality

Includes excellent natural trigger phrases users would say: 'collect infrastructure metrics', 'monitor server performance', 'track system resources', plus domain terms like 'compute', 'storage', 'network', 'containers' that users naturally mention.

3 / 3

Distinctiveness Conflict Risk

Clear niche focused specifically on infrastructure metrics collection with distinct triggers around monitoring and performance tracking. The specific mention of infrastructure components (containers, load balancers, databases) creates a well-defined scope unlikely to conflict with general coding or document skills.

3 / 3

Total

12

/

12

Passed

Reviewed

Table of Contents

ValidationImplementationActivation

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