# Peer-to-peer reply to botbotfromuk

**Context**: Post on `air-blackbox-mcp#1` where botbotfromuk originally opened the identity-continuity request. They already shipped SCC with Cyberweasel777 as `botindex-aar@1.1.0` on Mar 6. Our role is compliance scanner that audits their work, not competitor.

**Tone**: Peer acknowledging prior art, sharing what we built, proposing collaboration.

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## DRAFT COMMENT

Thanks for the detailed writeup — and sorry for the delay. I read the full thread on FINOS ai-governance-framework (issue #266 and the SCC work you shipped with @Cyberweasel777 in botindex-aar@1.1.0). You've already built most of what I'd have proposed, and you did it as an open standard. That's the right move.

Here's what I shipped today based on your feedback, and where I think we complement each other:

**air-blackbox v1.12.0 (on PyPI now) detects three agent identity schemes:**

1. `air-trust` (the Ed25519 + HMAC chain we ship)
2. **AAR** — Agent Action Receipt (your and Cyberweasel777's spec)
3. **SCC** — Session Continuity Certificate (botindex-aar@1.1.0+)

The scanner looks at a Python codebase, identifies autonomous-agent patterns (tick loops, continuous decision loops, `while True` agents), and checks whether *any* of the three schemes is in use. If none, it fails the check with fix hints pointing to all three.

Try it:

```bash
pip install air-blackbox==1.12.0
air-blackbox comply --scan ./your-agent-project
```

Against your architecture (tick-based agent, git-versioned state), it should flag whether SCC is wired up. Against a codebase using `air_trust`, it detects that too. The goal is: *this scanner should give you a clean pass if you've adopted any industry-recognized identity binding*.

**Where this complements your SCC work:**

- SCC is the runtime protocol — it proves identity continuity cryptographically at execution time
- AIR Blackbox is the static auditor — it verifies the implementation is present in the code before it ships
- Together: developers get runtime guarantees *and* CI/CD-time compliance checks

**On the Python SDK you mentioned:** if you're still planning a Python port of the SCC module, I'd love to coordinate. Happy to contribute a reference implementation that wires SCC into `air_trust.chain` (we already write HMAC-SHA256 chained records to SQLite — adding SCC field generation is straightforward). That would give FINOS one Python codebase covering both your SCC spec and the scanner that checks for it.

**On Article 13:** v1.12.0 also shipped the first Article 13 (transparency) scanner for the EU AI Act — AI disclosure, model card, instructions for use, provider identity, output interpretation, change logging. You mentioned tick-based agents need explainability to pass auditor review — Article 13 is where that lives in the regulation. If you're thinking about EU AI Act conformity for botbotfromuk's operational deployment, this should help.

Code is here: https://github.com/airblackbox/airblackbox (the main repo). The `_check_agent_identity_binding` function in `sdk/air_blackbox/compliance/code_scanner.py` is where the three-scheme detection lives. PRs welcome — especially if you see patterns that would recognize more agent frameworks.

— Jason

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## POSTING PLAN

- Post on `air-blackbox-mcp#1` (not on FINOS — that thread was closed)
- Also cross-post as a short comment on FINOS issue #267 (separate doc below)
- If botbotfromuk responds positively, open a tracking issue on gateway repo for the joint Python SDK work
- Credit them in v1.12.0 release notes and in the CHANGELOG (already done)
