nw-ab-critique-dimensi…
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
Git change frequency hotspot analysis — find the most-changed files in your codebase
$ npx -y skills add nWave-ai/nWave --skill nw-hotspot --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/nw-hotspotContext preview
The summary Claude sees to decide when to auto-load this skill.
Git change frequency hotspot analysis — find the most-changed files in your codebase
name: nw-hotspot description: "Git change frequency hotspot analysis — find the most-changed files in your codebase" user-invocable: true argument-hint: '[--top=N] [--since=6m] [--json] [--rank report.md] [--detail file]'
**Wave**: CROSS_WAVE **Execution**: Inline (no agent — Claude executes git commands directly) **Inspiration**: Adam Tornhill's "Your Code as a Crime Scene"
Analyze git change frequency to identify the most-changed files in a codebase. Pure git churn — no complexity metrics. Use as a **pre-filter** to scope analysis or a **post-filter** to prioritize existing findings.
Run `git log --name-only` over the configured time period, count commits per file, rank by frequency.
Show the most-changed files in the repo. Output is inline only — no files persisted.
/nw-hotspot /nw-hotspot --top=20 /nw-hotspot --since=12m
**Steps:** 1. Run: `git log --since={since} --format=format: --name-only | sort | uniq -c | sort -rn` 2. Exclude deleted files (verify each file still exists with `test -f`) 3. For each file, get last changed date: `git log -1 --format="%ar" -- {file}` 4. Display ranked table (top N):
Rank │ Commits │ Last Changed │ File
──────┼─────────┼──────────────┼─────────────────────────
1 │ 87 │ 2 days ago │ src/services/payment.ts
2 │ 64 │ 1 week ago │ src/api/controllers/user.ts
3 │ 51 │ 3 days ago │ src/models/order.ts5. Show summary: total files changed in period, time period, top N shown
**Defaults:** `--top`: 15, `--since`: 6 months
Overlay churn data on an existing analysis report to prioritize findings.
/nw-hotspot --rank code-smell-detector-report.md
**Steps:** 1. Run the same git churn analysis 2. Read the specified report file 3. Extract file paths mentioned in the report 4. Annotate each file with its commit count 5. Re-sort findings by churn (highest first). Findings without extractable file paths go at the bottom. 6. Show noise reduction: "X of Y findings are in low-churn files (< 20 commits)"
Deep-dive into a single file's change history.
/nw-hotspot --detail src/services/payment.ts
**Steps:** 1. Monthly commit breakdown over the period 2. Top contributors to the file 3. Co-change coupling: top 5 files that frequently change alongside this one 4. Last 10 commit messages for context
/nw-hotspot --top=10 --json
Output: `[{"path": "src/services/payment.ts", "commits": 87, "last_changed": "2 days ago"}, ...]`
| Flag | Default | Description | |------|---------|-------------| | `--top` | 15 | Number of files to show | | `--since` | 6m | Time period (e.g., 3m, 12m, 2024-01-01) | | `--json` | false | Output as JSON array | | `--rank` | - | Path to existing report to re-rank by churn | | `--detail` | - | Path to single file for deep-dive |
Run `/nw-hotspot --top=10 --json` first, then pass the file list to:
Run `/nw-hotspot --rank {report.md}` after any analysis to prioritize by churn.
**Usage Context**: Inline utility, composable with any analysis skill **Handoff To**: Invoking context (no sequential handoff)
/nw-hotspot
/nw-hotspot --top=10 --json
/nw-hotspot --rank code-refactoring-report.md
/nw-hotspot --detail src/services/payment.ts
No persistent files. Output is displayed inline. JSON mode outputs a JSON array for composition with other tools.
AI agents that guide you from idea to working code, with human judgment at every gate. nWave runs inside Claude Code. It breaks feature delivery into seven waves (discover, diverge, discuss, design, devops, distill, deliver).
Repo: nWave-ai/nWave
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
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