Diagnose, generate, and maintain the AI agent setup of your projects — CLAUDE.md, skills, subagents, rules, and supporting docs.
Project description
opsward
Diagnose, generate, and maintain the AI agent setup of your projects — CLAUDE.md, skills, subagents, rules, and supporting docs.
Install
pip install opsward
Quick Start
Diagnose
Score your project's AI setup health:
opsward diagnose-cmd .
Diagnosis Report: myproject
Project type: python
Overall score: 72/100 (Grade: C)
Components:
CLAUDE.md quality [################....] 81/100
Documentation [##############......] 70/100
Skills [############........] 60/100
Setup (rules/agents/hooks) [##########..........] 50/100
Cross-references [####################] 100/100
Missing:
[ ] docs_guide.md
[ ] docs/known_issues.md
Suggestions:
1. Create a docs_guide.md to index your documentation
2. Consider adding hooks in .claude/hooks.json
Generate
Create missing artifacts (dry run by default):
opsward generate-cmd .
opsward generate-cmd . --write # actually create files
Generates CLAUDE.md, docs (architecture, conventions, known_issues, etc.), skills (diagnose-setup, maintain-docs), and agents (setup-auditor) — only what's missing, never overwrites existing files.
Maintain
Find stale references and drift:
opsward maintain-cmd .
myproject: 3 issue(s)
[stale_path] CLAUDE.md references `src/old_module.py` but it does not exist
[sync_issue] `new_doc.md` exists in docs/ but is not listed in docs_guide.md
[empty_doc] `conventions.md` appears to be an empty stub (12 bytes)
What It Checks
CLAUDE.md quality (6 dimensions):
- Commands & workflows — are build/test/lint commands documented?
- Architecture clarity — is there a module map with role descriptions?
- Conventions — are project-specific style rules present?
- Conciseness — is the file scannable, not bloated?
- Currency — do referenced paths actually exist?
- Actionability — are instructions specific enough to act on?
Documentation completeness: docs_guide.md, architecture.md, conventions.md, known_issues.md, and content quality.
Skills & agents: SKILL.md presence, descriptions, setup-auditor agent.
Cross-references: paths in CLAUDE.md validated against the filesystem.
Overall health: weighted score (A–F grade) combining all components.
Output Formats
All commands support --format json for machine-parseable output:
opsward diagnose-cmd . --format json
opsward generate-cmd . --format json
opsward maintain-cmd . --format json
Python API
from opsward import scan, diagnose, generate, maintain
sr = scan('.')
report = diagnose(sr)
print(report) # human-readable report card
print(report.grade) # 'A', 'B', 'C', 'D', or 'F'
files = generate(sr) # list[GeneratedFile]
issues = maintain(sr) # list[MaintenanceSuggestion]
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