aggregating-performance-metrics

Aggregate and centralize performance metrics from applications, systems, databases, caches, and services. Use when consolidating monitoring data from multiple sources. Trigger with phrases like "aggregate metrics", "centralize monitoring", or "collect performance data".

Quality

—

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Quality

Content

35%

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

The body is well-sectioned but reads as descriptive prose with marketing fluff, no executable code or validation checkpoints, and an orphaned bundle that the SKILL.md never navigates to.

Suggestions

Replace vague directives ("Design consistent metrics naming convention", "Help configure Prometheus to scrape metrics") with executable commands or concrete config snippets, e.g. a sample prometheus.yml scrape job and a metrics naming rule.

Cut the Overview marketing language ("empowers Claude", "leading to improved insights") and deduplicate the overlapping How It Works, Instructions, and Examples sections to tighten token use.

Add explicit validation checkpoints to the workflow (e.g. validate metric format/schema after collection, confirm scrape targets are up before alerting) and link the bundled scripts/asset from the body instead of the non-existent ${CLAUDE_SKILL_DIR}/metrics/ path.

Dimension	Reasoning	Score
Conciseness	The Overview ("empowers Claude to streamline performance monitoring...leading to improved insights and faster issue resolution") is marketing fluff Claude already knows, and How It Works/Instructions/Examples overlap heavily; it is mostly structured but padded with unnecessary explanation, matching the score-2 anchor rather than the lean score-3 anchor.	2 / 3
Actionability	Guidance like "Design consistent metrics naming convention" and "Help configure Prometheus to scrape metrics" describes rather than instructs, with no executable code, commands, or concrete config anywhere, matching the score-1 anchor for vague/abstract content.	1 / 3
Workflow Clarity	Sequences exist in How It Works (4 steps) and Instructions (6 steps), but there are no explicit validation/verification checkpoints; the Error Handling section is reactive rather than an in-flow checkpoint, so it caps at the score-2 anchor per the rubric's batch/destructive-operation note.	2 / 3
Progressive Disclosure	The body has section structure but references a non-bundle path (${CLAUDE_SKILL_DIR}/metrics/) and external docs while never linking the actual bundled scripts (metrics_collection.py, metrics_validation.py, etc.) or the splunk asset, leaving real references poorly signaled per the score-2 anchor.	2 / 3
	Total	7 / 12 Passed

Description

82%

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 answers both what and when with explicit, natural trigger phrases, but its capability list collapses to a single aggregate/centralize action and its triggers risk overlapping with generic monitoring skills.

Dimension	Reasoning	Score
Specificity	Quotes "Aggregate and centralize performance metrics from applications, systems, databases, caches, and services" name the domain and many concrete sources, but the only actions are the near-synonyms "aggregate" and "centralize" rather than a list of multiple distinct concrete actions as the score-3 anchor requires.	2 / 3
Completeness	It clearly answers "what" ("Aggregate and centralize performance metrics...") and "when" via the explicit "Use when consolidating monitoring data from multiple sources" clause plus concrete trigger phrases, matching the score-3 anchor.	3 / 3
Trigger Term Quality	Quotes 'Trigger with phrases like "aggregate metrics", "centralize monitoring", or "collect performance data"' give three explicit, naturally-utterable trigger phrases with good coverage, matching the score-3 anchor for natural terms users would say.	3 / 3
Distinctiveness Conflict Risk	The "performance metrics aggregation" niche is somewhat specific, but triggers like "centralize monitoring" and "collect performance data" could overlap with general monitoring/observability skills, so it sits at the score-2 anchor rather than a clearly non-conflicting niche.	2 / 3
	Total	10 / 12 Passed

Validation

87%

Warnings & errors only

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

Validation — 14 / 16 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	14 / 16 Passed

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 3022dd3

Reviewed: about 19 hours ago

Table of Contents

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