Desloppify
1. Your Job
Maximise the strict score honestly. Your main cycle: scan → plan → execute → rescan. Follow the scan output's INSTRUCTIONS FOR AGENTS — don't substitute your own analysis.
Don't be lazy. Do large refactors and small detailed fixes with equal energy. If it takes touching 20 files, touch 20 files. If it's a one-line change, make it. No task is too big or too small — fix things properly, not minimally.
2. The Workflow
Three phases, repeated as a cycle.
Phase 1: Scan and review — understand the codebase
desloppify scan --path . # analyse the codebase
desloppify status # check scores — are we at target?
The scan will tell you if subjective dimensions need review. Follow its instructions. To trigger a review manually:
desloppify review --run-batches --external-runner claude --parallel --scan-after-import
Then use the prompt/template to dispatch a new code-reviewer subagent.
Phase 2: Plan — decide what to work on
After reviews, triage stages and plan creation appear as queue items in next. Complete them in order:
desloppify next # shows the next workflow step
desloppify plan triage --stage observe --report "themes and root causes..."
desloppify plan triage --stage reflect --report "comparison against completed work..."
desloppify plan triage --stage organize --report "summary of priorities..."
desloppify plan triage --complete --strategy "execution plan..."
Then shape the queue. The plan shapes everything next gives you — don't skip this step.
desloppify plan # see the full ordered queue
desloppify plan reorder <pat> top # reorder — what unblocks the most?
desloppify plan cluster create <name> # group related issues to batch-fix
desloppify plan focus <cluster> # scope next to one cluster
desloppify plan skip <pat> # defer — hide from next
More plan commands:
desloppify plan reorder <cluster> top # move all cluster members at once
desloppify plan reorder <a> <b> top # mix clusters + findings in one reorder
desloppify plan reorder <pat> before -t X # position relative to another item/cluster
desloppify plan cluster reorder a,b top # reorder multiple clusters as one block
desloppify plan resolve <pat> # mark complete
desloppify plan reopen <pat> # reopen
Phase 3: Execute — grind the queue to completion
Trust the plan and execute. Don't rescan mid-queue — finish the queue first.
Branch first. Create a dedicated branch for health work — never commit directly to main:
git checkout -b desloppify/code-health # or desloppify/<focus-area>
Set up commit tracking. If you have a PR, link it for auto-updated descriptions:
desloppify config set commit_pr 42 # PR number for auto-updates
The loop:
1. desloppify next ← what to fix next
2. Fix the issue in code
3. Resolve it (next shows you the exact command including required attestation)
4. When you have a logical batch, commit:
git add <files> && git commit -m "desloppify: fix 3 deferred_import findings"
5. Record the commit:
desloppify plan commit-log record # moves findings uncommitted → committed, updates PR
6. Push periodically:
git push -u origin desloppify/code-health
7. Repeat until the queue is empty
Score may temporarily drop after fixes — cascade effects are normal, keep going.
If next suggests an auto-fixer, run desloppify autofix <fixer> --dry-run to preview, then apply.
When the queue is clear, go back to Phase 1. New issues will surface, cascades will have resolved, priorities will have shifted. This is the cycle.
Other useful commands
desloppify next --count 5 # top 5 priorities
desloppify next --cluster <name> # drill into a cluster
desloppify show <pattern> # filter by file/detector/ID
desloppify show --status open # all open findings
desloppify plan skip --permanent "<id>" --note "reason" --attest "..." # accept debt
desloppify exclude <path> # exclude a directory from scanning
desloppify config show # show all config including excludes
desloppify scan --path . --reset-subjective # reset subjective baseline to 0
3. Reference
How scoring works
Overall score = 40% mechanical + 60% subjective.
- Mechanical (40%): auto-detected issues — duplication, dead code, smells, unused imports, security. Fixed by changing code and rescanning.
- Subjective (60%): design quality review — naming, error handling, abstractions, clarity. Starts at 0% until reviewed. The scan will prompt you when a review is needed.
- Strict score is the north star: wontfix items count as open. The gap between overall and strict is your wontfix debt.
- Score types: overall (lenient), strict (wontfix counts), objective (mechanical only), verified (confirmed fixes only).
Subjective reviews in detail
- Preferred:
desloppify review --run-batches --external-runner claude --parallel --scan-after-import— does everything in one command. - Manual path:
desloppify review --prepare→ review per dimension →desloppify review --import file.json. - Import first, fix after — import creates tracked state entries for correlation.
- Target-matching scores trigger auto-reset to prevent gaming.
- Even moderate scores (60-80) dramatically improve overall health.
- Stale dimensions auto-surface in
next— just follow the queue.
Review output format
Return machine-readable JSON for review imports. For --external-submit, include session from the generated template:
{
"session": {
"id": "<session_id_from_template>",
"token": "<session_token_from_template>"
},
"assessments": {
"<dimension_from_query>": 0
},
"findings": [
{
"dimension": "<dimension_from_query>",
"identifier": "short_id",
"summary": "one-line defect summary",
"related_files": ["relative/path/to/file.py"],
"evidence": ["specific code observation"],
"suggestion": "concrete fix recommendation",
"confidence": "high|medium|low"
}
]
}
Import rules:
findingsMUST matchquery.system_promptexactly (includingrelated_files,evidence, andsuggestion). Use"findings": []when no defects found.- Import is fail-closed: invalid findings abort unless
--allow-partialis passed. - Assessment scores are auto-applied from trusted internal or cloud session imports. Legacy
--attested-externalremains supported.
Import paths:
- Robust session flow (recommended):
desloppify review --external-start --external-runner claude→ use generated prompt/template with code-reviewer subagent → run printed--external-submitcommand. - Durable scored import (legacy):
desloppify review --import findings.json --attested-external --attest "I validated this review was completed without awareness of overall score and is unbiased." - Findings-only fallback:
desloppify review --import findings.json
Review integrity
- Do not use prior chat context, score history, or target-threshold anchoring.
- Score from evidence only; when mixed, score lower and explain uncertainty.
- Assess every requested dimension; never drop one. If evidence is weak, score lower.
Reviewer agent prompt
Runners that support agent definitions (Cursor, Copilot, Gemini) can create a dedicated reviewer agent. Use this system prompt:
You are a code quality reviewer. You will be given a codebase path, a set of
dimensions to score, and what each dimension means. Read the code, score each
dimension 0-100 from evidence only, and return JSON in the required format.
Do not anchor to target thresholds. When evidence is mixed, score lower and
explain uncertainty.
See your editor's overlay section below for the agent config format.
Commit tracking & branch workflow
Work on a dedicated branch named desloppify/<description> (e.g., desloppify/code-health, desloppify/fix-smells). Never push health work directly to main.
desloppify config set commit_pr 42 # link to your PR
desloppify plan commit-log # see uncommitted + committed status
desloppify plan commit-log record # record HEAD commit, update PR description
desloppify plan commit-log record --note "why" # with rationale
desloppify plan commit-log record --only "smells::*" # record specific findings only
desloppify plan commit-log history # show commit records
desloppify plan commit-log pr # preview PR body markdown
desloppify config set commit_tracking_enabled false # disable guidance
After resolving findings as fixed, the tool shows uncommitted work, committed history, and a suggested commit message. After committing externally, run record to move findings from uncommitted to committed and auto-update the linked PR description.
Key concepts
- Tiers: T1 auto-fix → T2 quick manual → T3 judgment call → T4 major refactor.
- Auto-clusters: related findings are auto-grouped in
next. Drill in withnext --cluster <name>. - Zones: production/script (scored), test/config/generated/vendor (not scored). Fix with
zone set. - Wontfix cost: widens the lenient↔strict gap. Challenge past decisions when the gap grows.
- Score can temporarily drop after fixes (cascade effects are normal).
4. Escalate Tool Issues Upstream
When desloppify itself appears wrong or inconsistent:
- Capture a minimal repro (
command,path,expected,actual). - Open a GitHub issue in
peteromallet/desloppify. - If you can fix it safely, open a PR linked to that issue.
- If unsure whether it is tool bug vs user workflow, issue first, PR second.
Prerequisite
command -v desloppify >/dev/null 2>&1 && echo "desloppify: installed" || echo "NOT INSTALLED — run: pip install --upgrade git+https://github.com/peteromallet/desloppify.git"