claude-rdlc-wizard

RDLC enforcement for Claude Code — hooks, skills, and wizard setup for research repos. The research-domain sibling of claude-sdlc-wizard.

Status: v0.1.0 (bootstrap, 2026-05-04). Three case studies cleared the xdlc "two case studies → extract" threshold: anticheat, states-project-research, tucson-investigation. Pattern catalog lives in PATTERNS.md; proof-points in CASE_STUDIES.md; build journal in EXTRACTION_NOTES.md. The standalone ~/rdlc/ repo was consolidated into this wizard on 2026-05-04 (mirrors GDLC retirement pattern).

What this installs

A research lifecycle on top of any Claude Code project that produces sourced research deliverables — interview prep, medical/legal evidence dossiers, automotive diagnostics, market analyses, anything where claims need sources and confidence levels.

| Layer | What it does | |-------|--------------| | RDLC.md | Consumer-installable canonical doc — confidence vocabulary, source hierarchy, slop gate, audience-firewall rule | | /rdlc skill | Full lifecycle workflow (Plan → Verify → Review → Ship → Improve) | | /setup-rdlc skill | Confidence-driven setup — scans repo, asks only what it can't detect | | /update-rdlc skill | Drift reconciliation when wizard upgrades | | /feedback skill | Privacy-first contribution loop | | Hooks | Slop scan, confidence-required, source-required, prompt-check, audience-firewall | | Templates | regression_test.sh, slop_scan.sh, multi-deliverable generator scaffold |

Install

curl -fsSL https://raw.githubusercontent.com/BaseInfinity/claude-rdlc-wizard/main/install.sh | bash

Or scaffold manually:

npx -y claude-rdlc-wizard init

Run inside a research repo. The wizard scans for evidence/sources/confidence-marker patterns and only asks what it can't infer.

Relationship to claude-sdlc-wizard

Both run in parallel. SDLC handles code quality; RDLC handles research correctness. From ~/xdlc/README.md:

SDLC without the domain DLC = clean code that produces wrong output. Domain DLC without SDLC = correct requirements built with sloppy code.

A research repo installs both:

curl -fsSL .../claude-sdlc-wizard/install.sh | bash   # code layer
curl -fsSL .../claude-rdlc-wizard/install.sh | bash   # research layer

Vocabulary mapping (vs SDLC)

| SDLC | RDLC | |------|------| | Write failing test | Form hypothesis / define claim | | Implement feature | Gather evidence / research | | Run tests (green) | Cross-validate sources | | Lint / typecheck | Confidence scoring | | Regression tests | Fact regression tests | | Code review | Cross-model adversarial review | | TDD guard hooks | Source verification hooks |

What's in v0.1.0 vs deferred

In v0.1.0:

• Skill triple (rdlc, setup, update, feedback)
• Five hooks (prompt-check, slop-scan, confidence-required, source-required, audience-firewall)
• Three templates (regression_test.sh, slop_scan.sh, generate_deliverable.py skeleton)
• RDLC.md consumer canonical
• install.sh + package.json

Deferred to later versions (per skills-first rule, earned through use):

• Setup wizard scan logic refinement (starts with the 5-row signal table from xdlc cross-domain-concerns.md)
• Per-domain RDLC presets (medical/legal, political, automotive, journalism)
• Codex adapter (codex-rdlc-wizard)
• L-code enumeration (anticheat A–G, tucson L1–L15 — earn RDLC's own through use)
• npm registry publish (currently local install via npx --prefix against the cloned repo)

Documentation

• RDLC.md — the consumer canonical that gets installed into target repos
• PATTERNS.md — pattern catalog and lessons learned across case studies
• CASE_STUDIES.md — proof-point cross-index + Contributions Inventory (artifact → wizard slot)
• EXTRACTION_NOTES.md — build journal from the v0.1.0 extraction
• WIZARD_PLAN.md — historical implementation plan (superseded by v0.1.0 ship)
• HANDOFF.md — historical pre-build handoff (superseded)
• CLAUDE.md — wizard self-instructions (this repo)
• ARCHITECTURE.md — how the pieces fit
• CHANGELOG.md — version history
• ROADMAP.md — what's queued for v0.2 and beyond

Case studies that proved the patterns

See CASE_STUDIES.md for the full cross-index. Short version:

• anticheat (160 commits, 316 tests) — medical/legal evidence aggregation. GRADE-aligned labels, certification queue, compound mechanism verification.
• states-project-research (43 commits, 257 bash asserts) — political/interview prep. VERIFIED/SUPPORTED/INFERRED/UNVERIFIED, fact regression suite, multi-deliverable generator with audience firewall.
• tucson-investigation (36 commits, 111 tests) — automotive diagnostic + dealer audit. DIRECT/SUPPORTED/INFERRED/GAP, Playwright persona tests, methodology leak gate, 9-round Codex xhigh loop.

License

MIT