evaluate-mmi
Qualitative evaluation of Modularity Maturity Index across 4 axes: cohesion, coupling, independence, reusability.
Skill by wfukatsu
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
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~/.claude/skills/evaluate-mmi
What's inside
- Skill name
evaluate-mmi- Description
- Qualitative evaluation of Modularity Maturity Index across 4 axes: cohesion, coupling, independence, reusability. Requires analyze output as a prerequisite. Can run in parallel with evaluate-ddd.
- License
- MIT
- Instructions
- 311 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: missing
Files (1)
- SKILL.md
SKILL.md (first lines)
# MMI Evaluation
Shared files: a path written `@rules/…`, `@skills/…`, `@templates/…` or `@docs/…` is relative to the
plugin root, `${CLAUDE_PLUGIN_ROOT}` — not to the project being worked on. Read it from there.
**Usage:** `/architect:evaluate-mmi [target_path]`
## Desired Outcome
Evaluate each module of the target system across the 4 MMI axes and determine microservice readiness.
## Decision Criteria
For detailed scoring criteria and algorithms, refer to:
@rules/evaluation-frameworks.md
- 4 axes: Cohesion (30%), Coupling (30%), Independence (20%), Reusability (20%)
- Each axis scored 1-5
- MMI = (0.3 × C + 0.3 × K + 0.2 × I + 0.2 × R) / 5 × 100
- Maturity: 80-100 (Ready), 60-80 (Moderate), 40-60 (Needs Improvement), 0-40 (Immature)
## Prerequisites
| File | Required/Recommended | Source |
|------|---------------------|--------|
| reports/01_analysis/ | Required | /architect:analyze |
## Execution
### Step 1: Identify Modules
Glob for `reports/before/**/codebase-structure.md` to find the investigate-phase output, then read the found file. Also read `reports/01_analysis/domain-code-mapping.md`. Extract the list of modules to evaluate and record module names — these will be passed to sub-agents.
### Step 2: Collect Input File Paths
Glob for all analysis documents: `reports/01_analysis/**/*.md`
Record the full list of found file paths — these will be passed to all sub-agents.
### Step 3: Spawn Four Parallel Axis Evaluators
In a **single message**, issue all four Agent() calls simultaneously so they run in parallel.
Each evaluator scores ALL identified modules on its specific axis.
**Task A — Cohesion Axis**
```
Agent(
subagent_type: "general-purpose",
model: "sonnet",
description: "MMI cohesion axis evaluation for all modules",
prompt: """
You are evaluating COHESION (functional coherence within a module) for each module in a software system.
Modules to evaluate:
<MODULE_LIST>
[Insert the module names identified in Step 1, one per line]
</MODULE_LIST>
Read all analysis documents using the Read tool:
<FILE_LIST>
[Insert the full list of file paths found in Step 2, one per line]
</FILE_LIST>
For each module, score its Cohesion on a scale of 1-5:
- 5 (Exemplary): Single clear responsibility, all components tightly related, no leakage
- 4 (Good): Minor mixed concerns but mostly cohesive
- 3 (Acceptable): Some mixed responsibilities, identifiable but imperfect boundaries
- 2 (Concerning): Multiple unrelated responsibilities coexist
- 1 (Critical): No clear responsibility, god-class or utility-dumping-ground pattern
Return ONLY this JSON (no markdown fences, no explanation):
{
"axis": "Cohesion",
"weight": 0.30,
"modules": [
{
"name": "<module name>",
"score": <integer 1-5>,
"rationale": "<1-2 sentence explanation>"
}
]
}
"""
)
```
**Task B — Coupling Axis**
```
Agent(
subagent_type: "general-purpose",
model: "sonnet",
description: "MMI coupling axis evaluation for all modules",
prompt: """
You are evaluating COUPLING (degree of inter-module dependencies) for each module in a software system.
Modules to evaluate:
<MODULE_LIST>
[Insert the module names identified in Step 1, one per line]
</MODULE_LIST>
Read all analysis documents using the Read tool:
<FILE_LIST>
[Insert the full list of file paths found in Step 2, one per line]
</FILE_LIST>
For each module, score its Coupling (lower coupling = higher score) on a scale of 1-5:
- 5 (Exemplary): Minimal dependencies, well-defined interfaces, no circular dependencies
- 4 (Good): Few dependencies, mostly unidirectional
- 3 (Acceptable): Moderate dependencies, some bidirectional coupling
- 2 (Concerning): High fan-out or fan-in, implicit dependencies
- 1 (Critical): Circular dependencies, tight coupling, impossible to change in isolation
Return ONLY this JSON (no markdown fences, no explanation):
{
"axis": "Coupling",
"weight": 0.30,
"modules": [
{
"name": "<module name>",From wfukatsu/nexus-architect, MIT.
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Signals
- Stars
- 13
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Oct 8, 2026 (22 days ago)
- Last release
- Oct 9, 2026 (22 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/wfukatsu/nexus-architect
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.632score
docs
wfukatsu
Search ScalarDB / ScalarDL documentation for specific topics.
SkillAFreshness: A★ 13Claude Code +9 - 0.632score
crud-ops
wfukatsu
Show ScalarDB CRUD operation patterns — builder syntax for Get, Scan, Insert, Upsert, Update, Delete with examples.
SkillAFreshness: A★ 13Claude Code +9 - 0.632score
config
wfukatsu
Generate ScalarDB configuration files (database.properties, build.gradle dependencies) based on your choices.
SkillAFreshness: A★ 13Claude Code +9 - 0.629score
analyze
wfukatsu
Extract ubiquitous language, actor-role-permission matrix, and domain-code mapping.
SkillAFreshness: A★ 13Claude Code +9 - 0.629score
build-app
wfukatsu
Build a complete ScalarDB application from a domain description.
SkillAFreshness: A★ 13Claude Code +9 - 0.629score
analyze-ui
wfukatsu
Analyze the user interface of an existing system: screens with their inputs, outputs, actions and access; UI components; features and user tasks; business…
SkillAFreshness: A★ 13Claude Code +9
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evaluate-mmi skill. Agent Mart. https://agentmart.dev/skills/wfukatsu-evaluate-mmi (last updated 2026-10-24)