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ruview-quickstart

Onboarding and first-run for RuView (WiFi-DensePose) — Docker demo with simulated data, repo build, and the fastest path to a live sensing dashboard. Use when someone is new to RuView or wants the shortest path to "it works on my machine".

74

Quality

91%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

100%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.

The body is exemplary: lean, fully executable, tiered by hardware availability, with built-in validation and an error-recovery loop. Navigation to sibling skills and repo docs is clearly signaled and only one level deep.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence: every line is a command, an expected outcome, or a hardware caveat, with no padding or explanation of concepts Claude already knows — matching the top anchor rather than anchor 4 where trims would still be possible.

5 / 5

Actionability

Fully executable, copy-paste-ready commands across all three tiers (docker pull/run, cargo test/check, verify.py with 'must print VERDICT: PASS', cargo run, node scripts), including a concrete recovery command for the hash-mismatch case; no pseudocode or vague directions, matching the top anchor.

5 / 5

Workflow Clarity

Tiers are clearly sequenced with an explicit selection criterion ('pick the one that matches the hardware on hand'), Tier 1 embeds validation checkpoints (cargo test, VERDICT: PASS) and an explicit error-recovery feedback loop (regenerate hash, re-run), matching the top anchor over anchor 4's 'minor validation gaps'.

5 / 5

Progressive Disclosure

No bundle files exist, and all content is appropriately placed in the single SKILL.md with clear sections; sibling-skill hand-offs are clearly signaled in a table and the Reference section lists repo docs one level deep with no nesting, matching the top anchor.

5 / 5

Total

20

/

20

Passed

Description

83%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 description that clearly states both what the skill does and when to use it, with concrete natural-language triggers and third-person voice. The main weakness is minor overlap risk with the closely related ruview-* skill family and a few missing common trigger variations.

DimensionReasoningScore

Specificity

Names several concrete actions — 'Docker demo with simulated data', 'repo build', and 'fastest path to a live sensing dashboard' — matching the anchor for several specific actions with minor gaps; it stays below anchor 5 because sibling capabilities like hardware flashing or model training are not mentioned.

4 / 5

Completeness

Explicitly answers both what ('Onboarding and first-run for RuView... Docker demo... repo build... live sensing dashboard') and when ('Use when someone is new to RuView or wants the shortest path...') with concrete trigger phrases, matching the top anchor rather than anchor 4 where the 'when' would be less specific.

5 / 5

Trigger Term Quality

Includes natural user phrases like 'new to RuView', 'first-run', 'onboarding', and 'it works on my machine' in third-person voice, giving good keyword coverage; common variations such as 'get started', 'install', or 'set up' are missing, keeping it below anchor 5.

4 / 5

Distinctiveness Conflict Risk

The named project and quickstart framing create a clear niche, but phrases like wanting RuView working 'on my machine' present minor overlap risk with closely related skills in the family (e.g. ruview-hardware-setup, ruview-configure), matching the 'mostly distinct; minor overlap risk' anchor rather than the minimal-conflict anchor 5.

4 / 5

Total

17

/

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
ruvnet/RuView
Reviewed

Table of Contents

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