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plan-canvas

Open plans and HTML artifacts in a local browser canvas where the human annotates elements, chats, and approves or requests changes without leaving the page. Use when presenting a plan for review, or when feedback like "move this, change that" is easier pointed at than typed.

70

Quality

85%

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SecuritybySnyk

Critical

Do not install without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

82%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 highly actionable, well-structured skill body with executable commands and clear feedback loops. The main improvement would be consolidating the scattered numbered workflow steps and trimming a few editorial passages.

Suggestions

Consolidate the open → await → reply → end steps into one numbered sequence so the full workflow reads coherently in a single block.

Trim editorial flourishes ('talks to an empty chair', 'indistinguishable from a broken canvas') to keep the body token-lean.

Consider moving the Mermaid authoring guidance and extended Examples into a reference file to keep SKILL.md a tighter overview.

DimensionReasoningScore

Conciseness

Mostly lean and assumes Claude's competence, but editorial flourishes like 'the human talks to an empty chair' and 'indistinguishable from a broken canvas' could be trimmed without losing meaning.

4 / 5

Actionability

Copy-paste-ready commands throughout — `ecc-plan-canvas open/await/end`, `--reply`, `typing --state` — with JSON output examples covering the common annotation/verdict/chat cases.

5 / 5

Workflow Clarity

The open → await → reply → end sequence is clear with explicit feedback loops and validation backstops (`pending`, the stop hook), though the numbered steps are scattered across prose sections rather than one coherent sequence.

4 / 5

Progressive Disclosure

Single well-organized SKILL.md with clear sections (When to Use, How It Works, Diagrams, Rules, Examples, Anti-Patterns) and no nested references; over 50 lines so the simple-skill exception does not fully apply, but structure is clean.

4 / 5

Total

17

/

20

Passed

Description

88%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 capability and usage triggers with concrete, natural language. Minor room to add synonyms or file extensions for broader trigger coverage.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Open plans and HTML artifacts in a local browser canvas', 'annotates elements, chats, and approves or requests changes' — giving comprehensive coverage of what the skill does.

5 / 5

Completeness

Explicitly answers both what ('Open plans and HTML artifacts in a local browser canvas where the human annotates...') and when ('Use when presenting a plan for review, or when feedback like...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes natural user phrases like 'presenting a plan for review' and 'move this, change that' that a user would actually say, but lacks synonyms or file-extension variants for fuller coverage.

4 / 5

Distinctiveness Conflict Risk

The browser-canvas / element-annotation niche is distinct with minimal conflict risk, though the description alone does not draw explicit boundaries against adjacent review skills.

4 / 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
affaan-m/ECC
Reviewed

Table of Contents

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