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ruview-rvagent

Explore and prototype rvAgent + RVF integration for RuView agentic flows. Use when working on cross-cog coordination, operator-facing agents reading BFLD / pose / vitals events live, or persisting agent state alongside sensing data in the same RVF container.

65

Quality

78%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./plugins/ruview/skills/ruview-rvagent/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

68%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 tight, well-organized integration overview that is actionable and well-structured, but it is framed as research/dossier material rather than a sequenced, validated workflow, which caps workflow clarity at 3.

Suggestions

Add a numbered integration procedure (e.g., add SEG_AGENT_STATE/SEG_DECISION → shim BfldEvent → ToolOutput → register cog subagents) with an explicit validation checkpoint so the skill guides execution rather than just surveying the surface.

Replace or supplement the "Research dossier" prose with a concise "How to wire it" section containing a copy-paste-ready code or command example for the BfldEvent → ToolOutput shim.

Trim the open-questions list or move it to the referenced research README so the main body stays a focused execution guide.

DimensionReasoningScore

Conciseness

The body is mostly lean — tool tables, file paths, and an LOC count deliver information without restating concepts Claude already knows — though the "Research dossier" framing and some open-question prose could be trimmed slightly.

4 / 5

Actionability

Provides concrete, runnable guidance (the MCP server, `npm view @ruvnet/rvagent version` smoke-check, `RVAGENT_SENSING_URL` env var, exact file paths and segment hex codes) with minor gaps such as no copy-paste code example for the shim.

4 / 5

Workflow Clarity

The body surfaces touchpoints and open questions rather than a sequenced integration procedure, and there is no validation step; it reads as a research overview rather than an executable multi-step workflow.

3 / 5

Progressive Disclosure

Well-organized sections with mostly clear one-level-deep pointers (the research dossier path, ADR-124, source directories); there are no actual bundle files, and the inline file-path table is reasonable rather than monolithic.

4 / 5

Total

15

/

20

Passed

Description

87%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, niche description that explicitly covers both capability and use-trigger in third person with concrete technical terms. Minor gains possible by enumerating a broader action list and adding a few synonyms.

DimensionReasoningScore

Specificity

Names concrete integration actions ("Explore and prototype rvAgent + RVF integration", "reading BFLD / pose / vitals events live", "persisting agent state alongside sensing data") but is short of a comprehensive multi-action list.

4 / 5

Completeness

Explicitly states what ("Explore and prototype rvAgent + RVF integration") and when via a clear "Use when ..." clause listing three concrete trigger scenarios.

5 / 5

Trigger Term Quality

Includes natural user-facing phrases ("cross-cog coordination", "operator-facing agents reading BFLD / pose / vitals events live") with good keyword coverage, though a few common synonyms are absent.

4 / 5

Distinctiveness Conflict Risk

A highly specific niche (rvAgent + RVF + RuView sensing/BFLD/vitals) with distinct technical triggers makes conflict with other skills minimal.

5 / 5

Total

18

/

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
ruvnet/RuView
Reviewed

Table of Contents

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