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prometheus

Prometheus monitoring expert for PromQL, alerting rules, Grafana dashboards, and observability

67

Quality

80%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./crates/openfang-skills/bundled/prometheus/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

87%

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

A lean, actionable reference with executable PromQL examples and concrete operational guidance, well organized for a compact knowledge skill. Its only gap is the absence of any explicit multi-step workflow or validation checkpoint.

Suggestions

For destructive or batch operations (e.g., deploying alerting rules, relabeling production scrape configs), add a short sequenced workflow with a validation step such as 'run promtool check rules before applying'.

Expand the Alertmanager and relabel_configs guidance from field-name lists into one complete minimal example each to remove the last incomplete spots.

DimensionReasoningScore

Conciseness

Dense bullet points with no filler; it assumes Claude's domain competence and does not explain basic concepts, so every token earns its place.

3 / 3

Actionability

Provides executable PromQL snippets ('histogram_quantile(0.99, rate(...[5m]))'), concrete recording-rule syntax, and specific burn-rate thresholds (1h at 14.4x, 6h at 6x) that are copy-paste ready.

3 / 3

Workflow Clarity

Sections are well organized, but this is a principles/techniques reference rather than a sequenced multi-step workflow, and there are no explicit validation checkpoints.

2 / 3

Progressive Disclosure

Under 50 lines with no need for external references, organized into clear sections (Principles, Techniques, Common Patterns, Pitfalls), which meets the simple-skill bar for progressive disclosure.

3 / 3

Total

11

/

12

Passed

Description

72%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A specific, well-targeted description with strong natural trigger terms and a clear niche, but it omits an explicit 'Use when' clause so it does not fully answer when Claude should invoke it.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user asks about Prometheus, PromQL queries, alerting rules, Grafana dashboards, or metric observability.'

Replace the broad noun 'observability' with concrete actions (e.g. 'design alerts, write recording rules, build dashboards') to lift specificity toward the top anchor.

DimensionReasoningScore

Specificity

Names the domain and several concrete areas ('PromQL, alerting rules, Grafana dashboards'), but these are topics rather than verb-actions and 'observability' is broad, so it is not the comprehensive action list of the top anchor.

2 / 3

Completeness

It clearly states what the skill does, but there is no 'Use when...' clause or equivalent explicit trigger guidance, which caps completeness at 2 per the guidelines.

2 / 3

Trigger Term Quality

Natural terms a user would actually say — 'Prometheus', 'PromQL', 'alerting rules', 'Grafana dashboards', 'observability' — give good coverage with relevant variations.

3 / 3

Distinctiveness Conflict Risk

The Prometheus/PromQL/Grafana niche has distinct triggers and is unlikely to fire for unrelated skills.

3 / 3

Total

10

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
RightNow-AI/openfang
Reviewed

Table of Contents

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