Hi captain-claw maintainer,
I was looking at captain-claw and noticed a trust gap that matters for autonomous cognitive systems with dashboards:
the project may be ambitious, but a new user cannot quickly tell what is live, what is still experimental, what can touch external systems, and where human approval is required.
That uncertainty can quietly slow adoption. People may like the idea, but hesitate because the repo does not make the agent's operating boundaries and proof trail obvious enough.
I am offering a fixed-scope repo documentation rescue plus agent safety map.
The deliverable is simple:
- what the agent can actually do today
- what is mock, dry-run, or live
- where approval is required before external actions
- what proof or receipts exist
- the next safest upgrade that would make the project more credible
I only need the public repo. No account access, no secrets, no live changes, and no external actions.
The entry pass is 199 USD.
I can send a one-page sample outline first, based only on the public repo, so you can see whether it would be useful.
Would that be helpful for captain-claw?
Hi captain-claw maintainer,
I was looking at captain-claw and noticed a trust gap that matters for autonomous cognitive systems with dashboards:
the project may be ambitious, but a new user cannot quickly tell what is live, what is still experimental, what can touch external systems, and where human approval is required.
That uncertainty can quietly slow adoption. People may like the idea, but hesitate because the repo does not make the agent's operating boundaries and proof trail obvious enough.
I am offering a fixed-scope repo documentation rescue plus agent safety map.
The deliverable is simple:
I only need the public repo. No account access, no secrets, no live changes, and no external actions.
The entry pass is 199 USD.
I can send a one-page sample outline first, based only on the public repo, so you can see whether it would be useful.
Would that be helpful for captain-claw?