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Agents · pssah4/digital-innovation-agents

digital-innovation-agents

AI-augmented Innovation & Development Workflow: V-Model phases from business analysis to security audit

CLEARED_STATICagent-agnosticv3.8.0

Pipeline results

Coverage

CLEARED_STATIC

Tests run

7 / 8

Portability

Agent-agnostic (works beyond Claude)

Type

Agents

Tests & results

What the pipeline checked

TestStateResult or reason
eligibilityranall eligibility checks passed
dedupranunique -- no near-duplicate found
clocran33086 code lines / 166 files
secretsranno secret patterns matched
egressran20 lexical match(es) — FLAG-INFO (C-01: semantic analysis deferred to v2)
injectionranno patterns matched (confidence: STANDARD)
required-fieldsranrequired fields present: name, version, description
behaviouraldeferredbehavioural assessment deferred (v1): 1 JS/TS entry point(s); Python with non-stdlib imports (committed-only policy): [('tools/consistency-check.py', '__future__'), ('tools/renumber-for-merge.py', '__future__')]

What's inside

Components found

docs/about.md
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docs/imprint.md
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docs/pulse.md
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docs/concepts/drift-defense.md
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docs/concepts/handoff-rituals.md
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docs/concepts/hotfix-lane.md
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docs/concepts/living-documents.md
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docs/concepts/tech-agnostic-requirements.md
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docs/concepts/three-layer-documentation.md
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docs/concepts/three-modes.md
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docs/concepts/v-model.md
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docs/concepts/verification-gates.md
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docs/guides/architecture.md
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docs/guides/business-analysis.md
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docs/guides/coding.md
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docs/guides/consistency-check.md
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docs/guides/dia-bootstrap.md
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docs/guides/dia-guide.md
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docs/guides/dia-migration.md
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docs/guides/dia-setup.md
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Coverage

Not assessed

  • behavioural execution not run
  • egress patterns logged (FLAG-INFO): 20 lexical match(es)

README

From the repository

# Digital Innovation Agents

> **When code costs almost nothing, the plan becomes the product.**
>
> A V-Model workflow that walks your AI coding assistant through Business
> Analysis, Requirements Engineering, Architecture, Coding, Testing, and
> a Security Audit, with quality-gated handoffs between every phase.

**Full documentation:** [pssah4.github.io/digital-innovation-agents](https://pssah4.github.io/digital-innovation-agents/)

Shipping code is a solved problem. What most teams still lack is evidence
that the features they ship matter to a real user. Digital Innovation
Agents pair a battle-tested innovation methodology with a state-of-the-art
coding workflow, so your AI never builds the wrong thing at speed. Works
across **Claude Code**, **Cursor**, **Codex**, **OpenCode**, **Gemini CLI**,
and **GitHub Copilot**.


  


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## What this is

The project ships thirteen skills that run inside your AI coding
assistant. Six are V-Model phase skills (business analysis,
requirements engineering, architecture, coding, testing, security
audit). Two are entry-point skills for non-greenfield projects
(reverse engineering, dia-migration). One is the on-demand workflow
guide (`/dia-guid

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