By qwerfunch
Enforce multi-agent governance for Claude Code projects using the Ironclad standard — scaffold spec-driven workspaces, route work through specialist agents with audit separation, and detect drift via automated compliance reports.
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SSoT custodian — keeps spec.yaml structurally clean. Adds features, archives them, and ensures EARS pattern compliance.
Log and metrics analyst — reads .cladding/audit.log.jsonl, perf/baseline.json, and drift reports; surfaces patterns the human can act on.
Workflow conductor — sequences agents based on the 5 invocation principles. Routes user intent to specialists.
Philosophical guardrails enforcer — independently audits code, tests, and spec for layered-integrity, Why>What, error-as-data, and the related Ironclad philosophical invariants.
Uses power tools
Uses Bash, Write, or Edit tools
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English · 한국어
Unified Governance for AI-Coupled Engineering.
AI-generated code, held to the same bar as human code.
Reference implementation of the Ironclad standard. 27 detectors and a 13-stage gate verify, on every commit, that the code your AI assistant wrote still matches the spec.
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Vanilla AI coding
2/8
traps caught · 25%
|
cladding
8/8
traps caught · 100%
|
| Same spec · same model · event-sourcing store benchmark | |
npm install -g cladding # global CLI
clad setup # global wiring — Claude / Codex / Gemini / Cursor
# then inside your project, from your AI tool:
/cladding:init "your project intent"
Full install options, marketplace route, and host channel table ↓
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The why fades after 3 months The reason an AI assistant wrote code a certain way doesn't survive in the code alone. → ✓ AI context survives time — six months later, the AI reconstructs intent straight from the spec (new hires get the same entry point). |
AI gives a different answer each time The same spec produces code with inconsistent patterns and structure. → The spec becomes the fixed reference against which every commit is checked. ✓ Enterprise-ready consistency — code style and patterns stay aligned across teams and PRs. |
AI hallucination Generated code calls APIs, functions, or options that don't exist. → 27 detectors and a 13-stage gate block hallucinated code on every commit. ✓ Production incidents prevented up front — CI auto-rejects hallucinated code before it merges. |
How a vanilla AI coding environment and a cladding environment behave when the same situation comes up.
npx claudepluginhub qwerfunch/cladding --plugin claude-codeMulti-agent development harness for Claude Code. Your AI has speed; we give it direction — through living specs and focused specialist agents.
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