arn-infra-assess
This skill should be used when the user says "assess infrastructure", "infra assess", "arn infra assess", "infrastructure assessment", "analyze infrastructure needs", "what infrastructure do I need", "infrastructure audit", "app infrastructure assessment", "full infra assessment", "infrastructure review", "assess my app", "un-defer infrastructure", "infra backlog", or wants a comprehensive analysis of their application's infrastructure needs, including processing deferred infrastructure backlogs, to produce a prioritized infrastructure backlog published as issues.
71
87%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
89%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 excels at trigger term coverage and completeness, providing an extensive list of natural phrases and clearly stating both what the skill does and when to use it. Its main weakness is that the capability description could be more specific about the concrete actions performed (e.g., what types of infrastructure are analyzed, what the output format looks like beyond 'issues'). The heavy reliance on listing trigger phrases makes it functional but somewhat less informative about the actual process.
Suggestions
Add more specific concrete actions, e.g., 'Analyzes application dependencies, evaluates scaling requirements, identifies missing monitoring/logging/CI-CD infrastructure, and generates prioritized GitHub issues for each gap.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description mentions some actions like 'comprehensive analysis of application's infrastructure needs', 'processing deferred infrastructure backlogs', and 'produce a prioritized infrastructure backlog published as issues', but these are somewhat vague and not fully concrete — it doesn't detail specific steps or methods used. | 2 / 3 |
Completeness | The description explicitly answers both 'what' (comprehensive analysis of infrastructure needs, processing deferred infrastructure backlogs, producing prioritized backlog as issues) and 'when' (with a detailed list of trigger phrases and contextual conditions). | 3 / 3 |
Trigger Term Quality | The description includes an extensive list of natural trigger phrases users would say, such as 'assess infrastructure', 'infra assess', 'infrastructure audit', 'assess my app', 'un-defer infrastructure', 'infra backlog', covering many common variations and phrasings. | 3 / 3 |
Distinctiveness Conflict Risk | The description is highly specific to infrastructure assessment and backlog prioritization, with very distinct trigger terms like 'infra assess', 'arn infra assess', 'un-defer infrastructure'. It is unlikely to conflict with other skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, comprehensive infrastructure assessment skill with clear multi-step workflows, good progressive disclosure to reference files, and strong error handling with fallback paths. The actionability is excellent with concrete commands, file paths, and decision logic. Minor verbosity in the summary/next-steps section and the introductory framing could be tightened, but overall the content is high quality.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly long but most content is necessary for the complex multi-step workflow. However, there's some verbosity in the summary/next-steps section (Step 8) which essentially advertises other commands, and the two-use-case explanation at the top is slightly redundant given the workflow handles both cases inline. | 2 / 3 |
Actionability | The skill provides concrete, executable commands (gh issue create), specific file paths to read, exact field names to extract, structured question selection logic, and clear decision trees for each conditional branch. The guidance is specific enough for Claude to follow without ambiguity. | 3 / 3 |
Workflow Clarity | The 8-step workflow is clearly sequenced with explicit validation and error handling. Each step has clear entry/exit conditions, conditional branching is well-defined (deferred vs fresh, monorepo vs separate repo vs infra-only), and the error handling section covers fallback paths including re-run safety and duplicate issue prevention. | 3 / 3 |
Progressive Disclosure | The skill effectively delegates detailed content to reference files (assessment-questionnaire.md, backlog-item-template.md, agent-invocation-guide.md, step-0-fast-path.md, experience-derivation.md) while keeping the main workflow as a navigable overview. References are one level deep and clearly signaled with read instructions and context about what each reference contains. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- AppsVortex/arness
- Commit
b9084b6
- Reviewed
Table of Contents
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