Analyze project

Project Analysis (Zoom Out)

Perform a high-level analysis of this project. Follow the procedural workflow below; use the rubric sections as reference when interpreting findings.

Ground rules

• Reproduce before reporting — read the actual files and run the tooling; never assert a finding based on file names, directory shapes, or vibes alone.
• Verify catalog-like claims mechanically — if a claim implies "all N of X", script the check rather than eyeballing a sample.
• Mark anything you couldn't verify as "unverified"; never guess or extrapolate.
• This is an assessment only: no code changes, no pushes, no triggering workflows or releases.
• Honor the target repo's standing context file when present (see step 0).

Usage

When asked to analyze project health:

0. Load repo context

At start, read the target repo's AGENTS.md and/or CLAUDE.md if present. Precedence: AGENTS.md is authoritative when both exist — do not also apply conflicting CLAUDE.md instructions; if only one exists, use that file; if both conflict in a blocking way, stop and ask. Treat house standards, operating agreement, and standing constraints in the chosen file as binding for this assessment — including safety limits such as no paid LLM API calls or local-only storage. See the stand-general skill's Per-repo agent context section for the expected file shape. If neither file exists, continue with chat instructions and stand-* skills only.

1. Map structure

Understand layout and entry points:

find . -maxdepth 3 -type f \( -name '*.py' -o -name '*.ts' -o -name '*.rs' -o -name 'Cargo.toml' -o -name 'package.json' -o -name 'pyproject.toml' \) | head -80
tree -L 3 -I 'node_modules|target|.venv|dist|build|__pycache__|.git' 2>/dev/null || find . -maxdepth 3 -type d | head -60

Note: source roots, module boundaries, config locations, and test directories.

2. Check CI/CD

Inspect automation and pipeline coverage:

ls -la .github/workflows/ 2>/dev/null
rg -l 'lint|test|build|deploy' .github/workflows/
rg -n --hidden "uses:.*@[0-9a-f]{40}\b" .github/workflows || echo "No SHA-pinned actions found"

Verify lint, test, and deploy stages exist; check for pinned action SHAs and reproducible builds. Then go beyond presence: is CI validating what actually matters, or just linting? Look for conditional skips (if: ... == '', path filters that silently no-op a job) and for test suites that exist in the repo but never run in any workflow — CI claiming a check happens is not the same as it executing.

3. Dependency health

Confirm lock files and manifest consistency:

ls -1 *lock* uv.lock bun.lockb Cargo.lock package-lock.json poetry.lock Pipfile.lock 2>/dev/null
rg -n 'version|dependencies' pyproject.toml package.json Cargo.toml | head -30

Flag missing lock files, unpinned versions, or stale dependency patterns.

4. README and docs check

Assess onboarding and API documentation:

test -f README.md && head -80 README.md
find . -maxdepth 2 \( -name '*.md' -o -name 'docs' -type d \) | head -20
rg -l 'TODO|FIXME|TBD' README.md docs/

Check for setup instructions, contribution guide, and documented public APIs.

5. Hardcoded config search

Find scattered or environment-specific values in source:

rg -n '(localhost|127\.0\.0\.1|0\.0\.0\.0|hardcoded|FIXME.*config)' --glob '!*.{lock,sum,md}'
rg -n '(API_URL|BASE_URL|DATABASE_URL)\s*=\s*["\x27]' --glob '!*.example' --glob '!*.env*'

Evaluate against externalized configuration expectations.

6. Coupling and circular dependencies

Assess module boundaries (adapt to language):

# Python import graph (rough)
rg -n '^from |^import ' --type py | head -50

# TypeScript/JavaScript cross-imports
rg -n "^import .* from ['\"]\.\./" -t ts -t js | head -50

# Rust crate modules
rg -n '^mod |^pub mod ' -t rust | head -30

Look for deep cross-package imports, god modules, and circular import chains.

7. Backlog, PR state, and release discipline

Check the project against its own tracking, not just its code:

gh pr list --state open
gh issue list --state open
gh pr list --state merged --limit 20

If gh is unavailable or unauthenticated, mark these GitHub-backed checks as "unverified" per the ground rules and continue the assessment.

Check for: stale or conflicting open PRs; issues claimed as done that are not actually done in the code (verify by reading the code, not by trusting labels or comments); merge history vs. stated milestones; lockfile version vs. manifest version drift; CHANGELOG entries vs. git log; git tags vs. published releases.

8. Dead surface

Find things that look wired up but aren't — verify by reference, not by name:

• Workflows that silently skip themselves (conditional gates on paths/branches that never match)
• Scripts in the repo that no workflow, README, or Makefile ever calls
• Modules or components with zero references (rg for imports/usages of the symbol, not just its existence)
• Stale committed artifacts (build output, generated files checked in as source)
• Orphaned docs/content unreachable from any nav, index, or README link

9. Product-quality scorecard

Build one row per area of the codebase — the full catalog, not a sample. Columns:

Area	Correctness risk (low/med/high)	Test coverage (y/partial/none)	Consistency (ok/drifts)	Staleness / dead-code flags	Action

Sort worst-first. Follow with the distribution across risk levels, the top 5-10 highest-risk areas, and any repo-wide patterns the scorecard reveals.

10. Rate and report findings

For each issue, assign severity:

• Critical — no CI, no lock files in production apps, secrets in repo, broken build
• Should Fix — poor docs, hardcoded config, unclear boundaries, missing tests in CI
• Nice to Have — naming inconsistencies, missing ADRs, UX polish

Output contract: lead with a TLDR verdict, then findings with file:line references, then the scorecard and its summary, and end with one prioritized fix list ordered by impact — not one list per section.

Full audit

For a complete audit rather than a zoom-out-only pass, follow this skill with analyze-code and analyze-tests, then merge all three sets of findings into the single prioritized fix list described above.

---

Reference — Architecture & Design

• Overall design quality and alignment with stated objectives
• Adherence to SOLID principles and separation of concerns
• Are layers (transport, business logic, data) clearly separated?
• API/interface design—are contracts clean, consistent, and hard to misuse?
• Code complexity—is it appropriately simple or over-engineered?
• Whether it reinvents solutions that existing libraries handle well

Reference — Maintainability

• How easily could a new developer onboard and contribute?
• Is the code self-documenting, or are complex sections unexplained?
• Consistent naming conventions and project structure
• Boundary clarity—are public vs internal APIs clearly delineated?
• Change impact—how localized is the blast radius of a typical change?
• Configuration management—is config externalized properly vs scattered/hardcoded?

Reference — CI/CD & DevOps

• Is the build reproducible?
• Are lint, test, and deploy pipelines in place?
• Are dependencies pinned and lock files committed?

Reference — Documentation

• README quality—does it cover setup, usage, and contribution?
• API documentation—are public interfaces documented?
• Architecture decision records (ADRs) or equivalent for key decisions

Reference — User Experience

• Interface design and usability
• Consistency of behavior and feedback
• Accessibility considerations

Reference — Retrospective

If starting this project today, what would you do differently?