ShipGuard — AI Output Quality & Production Readiness Auditor

🛡️ ShipGuard Pro — The Quality Gate for AI-Built Software

Don’t trust “Done.” Verify it.

AI coding agents can write code incredibly fast—but fast code is not necessarily working code. A green build doesn't prove a feature works. Passing tests don't prove requirements were satisfied. And an AI agent saying “completed” doesn't mean your product is ready to ship.

ShipGuard Pro is an evidence-first AI verification skill designed to challenge those assumptions before they become production problems.

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🔍 What ShipGuard Pro Does

ShipGuard acts like a skeptical principal engineer + QA lead + security reviewer + release engineer inside your AI coding workflow.

Instead of asking “Does the code look correct?”, it asks:

• ✅ Was the actual requirement satisfied?
• 🧪 Is there real evidence that the feature works?
• 🔎 Are tests actually testing behavior?
• 🚨 Are there hidden security or reliability risks?
• 🧩 Did implementation drift from the original requirement?
• 🎭 Is the AI claiming something is complete when it isn't?
• 🚀 Is this genuinely ready to ship?

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⚙️ Powerful Verification Modes

• 🔬 Full Audit — Comprehensive project health and production-readiness review.
• 🎯 Task Verification — Verify whether a specific feature or requirement is actually complete.
• 🚦 Pre-Ship Gate — Get a clear SHIP, WARNINGS, DO NOT SHIP, or INSUFFICIENT EVIDENCE decision.
• 🧠 Claim Verification — Challenge claims such as “fixed,” “tested,” “secure,” or “production-ready.”
• 🔀 PR / Diff Gate — Analyze changed code, impact radius, regressions, and merge risk.

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📊 Evidence-Based, Not Guess-Based

ShipGuard uses a graded E0–E5 evidence model to distinguish assertions from actual verification.

E0 = AI assertion
E1 = Static evidence
E2 = Automated verification
E3 = Runtime evidence
E4 = Full user-flow verification
E5 = Requirement + implementation + runtime + tests + edge cases

Missing evidence is never treated as a pass. ShipGuard clearly identifies what is verified, what remains uncertain, and what cannot responsibly be confirmed.

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🛠️ What It Audits

Depending on your project, ShipGuard can evaluate:

🔹 Functional correctness   🔹 Regression risks
🔹 Test effectiveness   🔹 Security & secret exposure
🔹 UX & accessibility   🔹 Performance signals
🔹 Reliability & error handling   🔹 Observability
🔹 Dependencies & environment   🔹 Documentation
🔹 Requirement drift   🔹 False-completion patterns

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🎯 Get a Real Ship Decision

Every serious audit ends with a practical decision:

🟢 SHIP — Critical paths have adequate evidence.
🟡 SHIP WITH WARNINGS — Residual risks remain but no critical blockers were found.
🔴 DO NOT SHIP — A blocker, critical risk, or major unverified requirement exists.
⚫ INSUFFICIENT EVIDENCE — There isn't enough access or evidence to make a responsible decision.

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🤖 Built for AI Coding Workflows

ShipGuard Pro is a portable SKILL.md-based agent skill that can work with compatible AI coding environments such as Claude Code, Cursor, Codex, Grok, Gemini CLI, and other skill-compatible agents.

🚫 No API keys required.
📦 Portable skill package.
🧾 Machine-readable evidence ledger.
📋 Markdown reports with optional interactive HTML dashboards.
🔐 Security-conscious verification model.
🧠 Bounded project learning and self-healing.

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🚀 Stop Shipping AI Confidence. Start Shipping Verified Software.

Whether you're building a SaaS, API, dashboard, automation, internal tool, or AI-generated application, ShipGuard Pro gives your AI workflow a critical final question:

“You say it's done. Now prove it.” 🛡️