# Xobotyi Cc Foundry Code Quality Evaluation

> Code Quality Evaluation

- Skill: `tomevault-io/xobotyi-cc-foundry-code-quality-evaluation` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/xobotyi-cc-foundry-code-quality-evaluation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/xobotyi-cc-foundry-code-quality-evaluation/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/xobotyi-cc-foundry-code-quality-evaluation

---


# Code Quality Evaluation

Orchestrate 8 specialized teammate agents for comprehensive code quality evaluation. Each agent is a plugin subagent —
spawn them as teammates and aggregate their findings.

## Agents

All agents are **read-only** — they analyze code and report findings via SendMessage.

- `the-crucible:namer` — Naming: misleading, vague, type-encoded, scope-mismatched identifiers
- `the-crucible:complexity-reviewer` — Complexity: nesting, flag arguments, duplication, premature abstraction
- `the-crucible:comment-reviewer` — Comments: noise, staleness, refactoring signals, commented-out code
- `the-crucible:test-reviewer` — Tests: false confidence, implementation coupling, flakiness, coverage gaps
- `the-crucible:error-handling-reviewer` — Errors: silent swallowing, context loss, resource leaks, async error loss
- `the-crucible:security-reviewer` — Security: injection, access control, secrets, crypto, data exposure
- `the-crucible:observability-reviewer` — Observability: logging, metrics, tracing, cardinality, context propagation
- `the-crucible:docs-auditor` — Documentation: missing API docs, stale docs, contract gaps

## Workflow

### Phase 0: Create Team

Create a review team and 8 tasks — one per agent:

```
TeamCreate(name="code-review")

For each agent in the table above:
    TaskCreate(team_name="code-review", title="{agent_name}", description="Review {target}")
```

### Phase 1: Spawn Reviewers

Spawn all 8 agents in parallel as teammates using their `subagent_type`. The agent files define each reviewer's
expertise, patterns, and constraints — the `prompt` parameter only needs to specify the target and team context:

```
For each agent:
    Agent(
        subagent_type="{subagent_type}",
        prompt="Review all code in {target}. Send your findings to the leader via SendMessage.",
        team_name="code-review",
        task_id="{task_id}"
    )
```

### Phase 2: Aggregate and Present Findings

As teammates send messages, aggregate findings:

1. Collect all messages from the 8 reviewers
2. Deduplicate overlapping findings across agents
3. Present to user organized by severity (Critical > Issues > Recommendations)
4. Ask user which issues to address

### Phase 3: Apply Fixes

Address findings based on user direction:

1. Fix critical issues first, then issues, then recommendations
2. User may skip categories or individual findings
3. Continue until user says to stop or all addressed

## Usage

```
Run code quality evaluation on src/auth/
```

**Example interaction flow:**

1. User: "Run code quality evaluation on src/auth/"
2. Create team "code-review" with 8 tasks
3. Spawn 8 teammate agents by subagent_type
4. Teammates send findings via messages
5. Aggregate and present: "Found 2 critical, 5 issues, 3 recommendations. Which to address?"
6. User picks categories or specific findings to fix
7. Apply fixes iteratively

## Constraints

<constraints>
- Create the team and all tasks BEFORE spawning any agents
- Use `subagent_type` to spawn agents — their `.md` files define review behavior
- The `prompt` parameter provides only the target path and team instructions
- All agents are READ-ONLY — they report, the leader fixes
- Agents communicate via SendMessage — no file-based reports
- Deduplicate findings that overlap across agents before presenting
- Present findings organized by severity, not by agent
</constraints>

---
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<!-- tomevault:4.0:skill_md:2026-04-13 -->