Independent OSS profile by Karunanidhi Mishra

Make agentic AI repositories easier to review, trust, and extend.

A practical evidence model for repositories that need clearer guidance around AGENTS.md, tool boundaries, human approval, identity assumptions, audit events, OSS fallbacks, and reproducible validation.

This is not an Agentic AI Foundation project, not a Linux Foundation project, and not endorsed by either organization.

Five connected readiness levels from scaffold to foundation candidate.
Current release v0.5.49
Validation npm test
Profile levels 0 to 4
Public testbed 16 repos

Review path

Use it without needing a paid provider or private data.

  1. Inspect the profile. Read the schema, scoring guide, and boundary model template.
  2. Map one repository. Add `agentic-readiness.json` and a boundary model for one real repo boundary.
  3. Run local validation. Use `npm test` in the profile repository. No Docker, database, or paid API key is required.
  4. Request public feedback. Open an opt-in issue or PR with the evidence link and reviewer question.
  5. Start small. Use the pinned good-first review issue or route-signal template to leave one route signal.
  6. Review a lane. Use the external reviewer call for AGENTS.md, MCP, gateway, security, enterprise, or maintainer-burden feedback.
  7. Check proposal fit. Use the focused proposal-readiness issue to challenge missing evidence before any foundation route.
  8. Discuss routing. Use the public discussion for broader AGENTS.md, MCP, A2A, gateway, Goose, or independent-profile feedback.
  9. Try adoption safely. Use the adoption-trial issue to compare one real repository boundary with one readiness example.
  10. Close the loop. Classify incoming feedback through the route signal response protocol.
  11. Show the queue. Track public signals and response states in the route signal ledger.
  12. Credit carefully. Acknowledge reviewers only with consent and without endorsement claims.

Evidence model

Readiness is a claim only when evidence is present.

The profile separates public scaffolding from production claims. It asks maintainers to show setup paths, contribution boundaries, security posture, governance, observability, fallback options, and validation before calling a repository enterprise-ready.

0Public Scaffold
1Contributor-Ready
2Agentic Readiness
3Enterprise Evidence
4Foundation Candidate

Core documents

Start from the artifacts reviewers usually ask for first.

Portfolio testbed

Sixteen repo-local boundary examples from a 16-repository enterprise product portfolio.

Product Review domain Evidence
SecureIDE Workbench AI coding workbench governance Readiness JSON
FlowGrid Orchestrator MCP-style connector governance Readiness JSON
SupportDesk Intelligence Support provenance and escalation Readiness JSON
AccessGovernance Kit Agent access policy and audit evidence Readiness JSON
VoiceGrid Operations Voice consent and transcript governance Readiness JSON / Boundary
Meeting Intelligence Hub Transcript retention and follow-up approvals Readiness JSON / Boundary
TenantCommerce Control Tenant-scoped commerce policy and audit Readiness JSON / Boundary
LedgerOps Intelligence Finance consent and reconciliation controls Readiness JSON / Boundary
AppForge Studio Generated app publishing and sandbox preview governance Readiness JSON / Boundary
BrandOps Studio Brand asset approval and export governance Readiness JSON / Boundary
IdentityCore Platform Delegated identity and session policy Readiness JSON / Boundary
KnowledgeStream Hub Transcript provenance and retention controls Readiness JSON / Boundary
CollabBoard Command Collaborative board export controls Readiness JSON / Boundary
LiveOps Broadcast Moderation, recording, and retention governance Readiness JSON / Boundary
SkillForge Learning Assessment provenance and manager review Readiness JSON / Boundary
WorkGrid Portfolio Portfolio approvals and dependency governance Readiness JSON / Boundary