🛑 Project: “ARC OS Audit Layer” – make GPT reasoning human-readable

🛑 Project: “ARC OS Audit Layer– make GPT reasoning human-readable

1️⃣ What we want & why it matters
PauseAI works on policy / risk. We need deterministic traces, not opaque ChatGPT text.
ARC OS converts any prompt into a logic tree + self-check flags (bias, loops, conflicts).

2️⃣ How you can help
| Task | Effort | Skills |
|------|--------|--------|
| Build a Discord slash-command
/audit
that runs ARC OS spec and returns the tree | Medium | Code, Think |
| Craft adversarial prompts to break the bias/loop checker | Tiny-Medium | Research, Write |
| Map ARC OS output → PauseAI “Risk Card” template | Medium | Write, Design |
| UX polish: icon set / colour legend for PASS / FLAG | Tiny | Design |
| Long-term: plug into CI (Giskard, Lakera) | Big | Code, Research |

3️⃣ Effort scale
Tiny < 1 h · Medium ≈ weekly touch-points · Big = multi-hour/wk maintainer

4️⃣ Skills needed
think · code · write · design · research

🔗 Repo & release: https://github.com/arenalensmuaydata/ARC-OS-Spec
Ping me 👋 if you’d like to play with the prototype or jump on a call!
GitHub
Logic Attribution spec & examples for ARC OS. Contribute to arenalensmuaydata/ARC-OS-Spec development by creating an account on GitHub.
GitHub - arenalensmuaydata/ARC-OS-Spec: Logic Attribution spec & ex...
Was this page helpful?