prometheus-configuration
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.
72
58%
Does it follow best practices?
Impact
94%
1.22xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./tests/ext_conformance/artifacts/agents-wshobson/observability-monitoring/skills/prometheus-configuration/SKILL.mdQuality
Discovery
67%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 has a solid structure with an explicit 'Use when' clause and names the specific tool (Prometheus), which is good. However, it stays at a relatively high level of abstraction for the capabilities and could benefit from more specific actions and additional trigger terms that users would naturally use when seeking Prometheus help.
Suggestions
Add more specific concrete actions like 'configure scrape targets, write PromQL queries, set up Alertmanager rules, define recording rules, configure exporters'.
Expand trigger terms to include common variations users would say: 'PromQL', 'scrape config', 'node_exporter', 'time series database', 'prometheus.yml', 'alertmanager'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Prometheus, monitoring) and some actions (metric collection, storage, monitoring, alerting), but doesn't list multiple concrete specific actions like configuring scrape targets, writing PromQL queries, setting up Alertmanager rules, or creating recording rules. | 2 / 3 |
Completeness | Clearly answers both 'what' (set up Prometheus for metric collection, storage, and monitoring) and 'when' (explicit 'Use when' clause covering metrics collection, monitoring infrastructure, and alerting systems). | 3 / 3 |
Trigger Term Quality | Includes relevant keywords like 'Prometheus', 'metrics collection', 'monitoring infrastructure', and 'alerting systems', but misses common user variations like 'PromQL', 'scrape config', 'Grafana', 'exporters', 'node_exporter', 'time series', or 'dashboards'. | 2 / 3 |
Distinctiveness Conflict Risk | Mentioning 'Prometheus' specifically helps distinguish it, but the broad terms 'monitoring infrastructure' and 'alerting systems' could overlap with skills for Grafana, Datadog, Nagios, or other monitoring tools. | 2 / 3 |
Total | 9 / 12 Passed |
Implementation
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill provides highly actionable, executable Prometheus configurations but suffers significantly from verbosity — the bulk of the YAML configurations should live in the referenced files rather than inline. The workflow lacks a clear sequential process with integrated validation checkpoints. The referenced bundle files don't exist, undermining the progressive disclosure structure.
Suggestions
Move the large YAML configuration blocks (prometheus.yml, recording rules, alert rules) into the referenced files (assets/prometheus.yml.template, references/recording-rules.md) and keep only minimal examples inline in SKILL.md.
Remove the architecture diagram, 'When to Use' bullet list, and generic best practices — Claude already understands Prometheus architecture and standard monitoring practices.
Create a clear numbered workflow: 1) Install → 2) Configure prometheus.yml → 3) Validate with promtool → 4) If errors, fix and re-validate → 5) Deploy → 6) Verify targets are scraped.
Actually provide the bundle files referenced (assets/prometheus.yml.template, references/scrape-configs.md, etc.) so the progressive disclosure structure is functional.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose at ~300+ lines, containing extensive YAML configurations that could be in referenced files, an architecture diagram Claude doesn't need, a 'When to Use' section restating the description, a 10-item best practices list of generic advice Claude already knows, and explanations of basic concepts like what Prometheus does. | 1 / 3 |
Actionability | The skill provides fully executable, copy-paste ready configurations including complete prometheus.yml, recording rules, alert rules, Helm commands, Docker Compose files, and validation commands. All code examples are concrete and specific. | 3 / 3 |
Workflow Clarity | The validation section exists with promtool commands, but there's no clear sequenced workflow tying installation → configuration → validation → deployment together. The validation steps are listed separately rather than integrated as checkpoints in a multi-step process, and there's no feedback loop for fixing validation errors. | 2 / 3 |
Progressive Disclosure | References to external files (assets/prometheus.yml.template, references/scrape-configs.md, etc.) are well-signaled and one level deep, but no bundle files actually exist to support them. The main file contains massive inline YAML blocks that should be in the referenced files instead, defeating the purpose of progressive disclosure. | 2 / 3 |
Total | 8 / 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.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- Dicklesworthstone/pi_agent_rust
- Commit
5a13356
- Reviewed
Table of Contents
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