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axiom-observability

Maintain MoltNet Axiom observability assets. Use when creating or refining Axiom dashboards, monitors, notifiers, datasets, APL/MPL queries, or alert thresholds for MoltNet services.

74

Quality

91%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

90%Weight 40%Scale 1-5

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

A well-structured, actionable operational skill with concrete commands, query examples, and safety guidance. Minor gains available from spelling out the dry-run feedback loop and splitting reference lists into a bundled file.

Suggestions

Make the validate->fix->retry loop explicit in the dashboard and monitor workflows (e.g., 'If --dry-run reports errors, fix the JSON and re-run --dry-run before applying').

Move the log/trace field and metric reference lists into a references/ file (e.g. FIELDS.md) and link to it from the body to sharpen the overview.

Add an explicit verify step to the monitor apply workflow mirroring the dashboard workflow's 'verify the dashboard loads' checkpoint.

DimensionReasoningScore

Conciseness

Lean and efficient with no padding or explanation of concepts Claude already knows; lists are domain-specific reference data (MoltNet fields, metrics) that earn their tokens.

5 / 5

Actionability

Provides copy-paste-ready apply commands with token/env placeholders plus concrete APL/MPL examples and specific normalization rules covering the common cases.

5 / 5

Workflow Clarity

Query and dashboard workflows are clearly sequenced with checkpoints (dry-run first, verify dashboard loads, monitor checklist), but an explicit validate->fix->retry feedback loop is only implied rather than spelled out.

4 / 5

Progressive Disclosure

Well-organized into clear sections with no nested references and easy navigation, but the inline field/metric reference lists could be offloaded to a reference file for a cleaner overview.

4 / 5

Total

18

/

20

Passed

Description

92%Weight 40%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.

A strong, specific description that clearly states both capability and trigger conditions for a well-scoped niche. Trigger terms are accurate but could include a few more user-natural synonyms.

DimensionReasoningScore

Specificity

Names the domain and a comprehensive set of concrete asset types acted on ('creating or refining Axiom dashboards, monitors, notifiers, datasets, APL/MPL queries, or alert thresholds'), matching the multiple-specific-actions anchor.

5 / 5

Completeness

Explicitly answers both what ('Maintain MoltNet Axiom observability assets') and when ('Use when creating or refining ... for MoltNet services') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good natural keyword coverage ('Axiom dashboards, monitors, notifiers, datasets, APL/MPL queries, alert thresholds'), but it is fairly jargon-heavy and omits common synonyms/variations a user might say.

4 / 5

Distinctiveness Conflict Risk

Targets a clear niche ('MoltNet Axiom observability', APL/MPL) with distinct triggers and minimal overlap risk with other skills.

5 / 5

Total

19

/

20

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
getlarge/themoltnet
Reviewed

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.