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https://github.com/hummbl-dev/hummbl-transparency

HUMMBL AI Transparency Registry — structured, versioned, evidence-backed vendor prompt auditing, model behavior documentation, and system prompt change tracking. A governed replacement for ad-hoc prompt leak collections.
https://github.com/hummbl-dev/hummbl-transparency

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HUMMBL AI Transparency Registry — structured, versioned, evidence-backed vendor prompt auditing, model behavior documentation, and system prompt change tracking. A governed replacement for ad-hoc prompt leak collections.

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# HUMMBL Transparency Registry

*Structured, versioned, evidence-backed AI vendor transparency tracking. Maintained by [HUMMBL Research Institute](https://hummbl.io).*

## What this is

A governed replacement for ad-hoc "leaked system prompt" collections. This registry:

1. **Tracks vendor system prompts** — with version history, change diffs, and provenance evidence
2. **Documents model behavior** — structured observations across safety, bias, refusal, and capability dimensions
3. **Records prompt changes** — when vendors update system prompts, we capture the delta with timestamps and evidence
4. **Provides analysis tools** — stdlib-only Python scripts for diffing, auditing, and comparing vendor transparency practices

## Why this exists

The AI industry's transparency practices are inconsistent. Vendors change system prompts without notice. "Leaked prompt" collections are unstructured, unversioned, and unverifiable. This registry makes transparency **governed**: every entry has provenance, every change has a timestamp, every claim has evidence.

## Structure

```
registry/
vendors/ # Per-vendor prompt archives with change history
anthropic/
models/ # Per-model behavior documentation
diffs/ # Prompt change diffs with timestamps
tools/
validate_registry.py # stdlib validation for JSON, Markdown links, and registry shape
audit_prompt.py # Compare current prompt against registry
score_transparency.py # Rate vendor transparency practices
evidence/
... # Source notes and capture references
```

## Validation

```bash
python tools/validate_registry.py
python tools/audit_prompt.py registry/vendors/anthropic/claude-opus-4.7-2026-04-16.json
python tools/score_transparency.py
```

The validator is intentionally standard-library only and currently checks:

- JSON parseability
- local Markdown link integrity
- future registry files live below a category directory

## Principles

- **Evidence-backed** — every entry links to source evidence
- **Version-controlled** — prompt changes tracked like code
- **Stdlib-only tooling** — zero dependencies, run anywhere
- **Governed** — follows HUMMBL append-only audit standards
- **Vendor-neutral** — rates transparency, not products

## Status

**v0.1 — BOOTSTRAP COMPLETE.** The registry includes an initial
Anthropic Claude Opus 4.7 transparency entry, model behavior documentation,
schema-aware validation, prompt auditing, transparency scoring, and CI.

## Related

- [hummbl-governance](https://github.com/hummbl-dev/hummbl-governance) — governance runtime (kill switch, circuit breaker, cost governor)
- [krineia](https://github.com/hummbl-dev/krineia) — append-only governance receipt chain
- [agent-governance-demo](https://github.com/hummbl-dev/agent-governance-demo) — runtime safety primitives

## License

Apache License 2.0.