Quality

Quality

You generate a code quality report for a pipeline project by reading the pipeline_quality_* frontmatter from progress.md, optionally running fresh analysis against the repo baseline, and attaching a quality report to the work item.

Inputs

• wcp_get_artifact($ARGUMENTS, "progress.md") — quality frontmatter from Stage 5 implementation milestones
• The current repository — for running fresh baseline and per-file analysis
• The conventions file — for Complexity Analysis tool configuration

Before You Start

1. Locate the conventions file in the current repo root — look for CLAUDE.md, AGENTS.md, or CONVENTIONS.md (use the first one found). Read it in full. From the ## Pipeline Configuration section, extract Repository Details (default branch, branch prefix, etc.), and look for a Complexity Analysis section.
2. Read progress.md: wcp_get_artifact($ARGUMENTS, "progress.md")

If progress.md does not exist, STOP:

"No progress artifact found for $ARGUMENTS. Run Stage 5 implementation first."

Step-by-Step Procedure

1. Read Quality Frontmatter

wcp_get_artifact($ARGUMENTS, "progress.md") — extract YAML frontmatter. Parse all pipeline_quality_* fields:

Per-milestone fields (pattern: pipeline_quality_mN_*):

• pipeline_quality_mN_flog_avg
• pipeline_quality_mN_flog_max
• pipeline_quality_mN_flog_max_method
• pipeline_quality_mN_files_analyzed

Project summary fields (written by /create-pr):

• pipeline_quality_flog_avg
• pipeline_quality_repo_baseline_flog_avg
• pipeline_quality_delta
• pipeline_quality_verdict
• pipeline_quality_files_analyzed

If no pipeline_quality_* fields exist in the frontmatter, STOP with a helpful message:

"No quality data found in progress.md for $ARGUMENTS. Quality metrics are captured during Stage 5 implementation when the conventions file has a Complexity Analysis section.

To add quality data to an existing project, a future /backfill-quality skill (ROAD-20 v2) will support checking out old branches and running analysis retroactively."

2. Run Current Repo Baseline

If the conventions file has a Complexity Analysis section, run the repo baseline command for a fresh comparison:

<repo-baseline-command>

Parse the output to extract the current repo-wide flog/method average. Store as current_baseline.

If the command fails or the section doesn't exist, use the stored pipeline_quality_repo_baseline_flog_avg from frontmatter (if available) or —.

3. Fresh Per-File Analysis (Optional)

Check if the project branch still exists:

git branch --list '<branch-prefix>$ARGUMENTS'

If the branch exists:

1. Check out the branch: git checkout <branch-prefix>$ARGUMENTS
2. Get all pipeline-touched files: git diff --name-only origin/<default-branch>...<branch-prefix>$ARGUMENTS -- '<file-glob>' (exclude spec/)
3. Run the score command on each file to get fresh per-file scores
4. Run the per-file command on files with the highest scores to identify current hotspot methods
5. Check out the previous branch: git checkout -

If the branch does not exist (already merged/deleted), note this in the report and rely solely on frontmatter data.

Failure handling: If any command fails, log a warning and continue with frontmatter data only. Never fail the report because of a stale branch.

4. Write Quality Report

Attach the quality report to the work item:

wcp_attach(
  id=$ARGUMENTS,
  type="quality",
  title="Quality Report",
  filename="quality.md",
  content="[quality report]"
)

Use the following template for the report content:

# Code Quality Report — $ARGUMENTS

> Generated: <current date/time>
> Tool: [tool name from Pipeline Configuration, or from frontmatter context]
> Hotspot threshold: [threshold from Pipeline Configuration, or "unknown"]

## Quality Scorecard

| Metric | Value |
|--------|-------|
| **Project flog avg** | [from frontmatter or fresh analysis] |
| **Repo baseline avg** | [current_baseline or stored baseline] |
| **Delta** | [delta] |
| **Verdict** | [verdict] |
| **Total files analyzed** | [files_analyzed] |

## Per-Milestone Breakdown

| Milestone | Flog Avg | Flog Max | Max Method | Files |
|-----------|----------|----------|------------|-------|
| M1 | [m1_flog_avg] | [m1_flog_max] | [m1_flog_max_method] | [m1_files_analyzed] |
| M2 | ... | ... | ... | ... |
[One row per milestone with quality data]

## Hotspots

[Top 5 methods above the hotspot threshold, from fresh analysis if available, otherwise from per-milestone flog_max data]

| Score | Method | Source |
|-------|--------|--------|
| [score] | [ClassName#method_name] | [file path or milestone] |

[If no methods above threshold: "No methods above the hotspot threshold of [threshold]."]

## Baseline Context

| Metric | Value |
|--------|-------|
| **Stored baseline** (at PR time) | [pipeline_quality_repo_baseline_flog_avg] |
| **Current baseline** | [current_baseline or "—"] |
| **Baseline drift** | [current - stored, or "—"] |

> Baseline drift shows how the repo average has changed since the PR was created. A rising baseline means overall repo complexity is increasing.

## Data Quality Notes

- [Note whether data is from frontmatter only or includes fresh analysis]
- [Note if project branch was available for fresh analysis]
- [Note any milestones missing quality data]
- [Note if baseline was live or stored]

5. Handle Missing Data

• If a per-milestone field is missing, display — in the table
• If project summary fields are missing (no /create-pr run yet), compute from per-milestone data if possible
• If the branch is gone, note "Fresh analysis unavailable — branch merged/deleted" and use frontmatter only
• Use — for any metric that cannot be computed

6. Post Completion Comment

Add a comment to the work item summarizing the quality report:

wcp_comment(
  id=$ARGUMENTS,
  author="pipeline/quality",
  body="Quality report attached as quality.md — [verdict summary]"
)

What NOT To Do

• Do not modify any project documents. Only attach quality.md to the WCP work item.
• Do not modify source code. This is a read-only analysis tool.
• Do not fabricate scores. Use — for missing data.
• Do not run pipeline stages. This is a standalone reporting tool.
• Do not leave the repo on a different branch. Always git checkout - after analysis.

When You're Done

Tell the user:

1. The quality report has been attached to $ARGUMENTS as quality.md
2. Summarize key metrics: project flog avg, delta from baseline, verdict
3. Highlight any hotspots above threshold
4. Note data quality limitations (frontmatter vs fresh, branch availability)