Stay on the repo-side proof cards and the shipped command path when you need repeatable evidence from tracked files and local commands.
What you can prove today, what was read back remotely, and what still needs a human click.
Read this page like an accountant reads a ledger. Repo-side proof is the cash in hand, remote read-back is the bank statement, and the manual tail is the stuff still waiting on a human signature.
Read it like a proof ledger
notes-recovery demo
notes-recovery ai-review --demo
notes-recovery ask-case --demo --question "What should I inspect first?"
notes-recovery doctor
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1
demoShows the case-root shape without touching live or private evidence.
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2
ai-review --demoShows AI as a bounded review layer on derived artifacts.
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3
ask-case --demoShows one evidence-backed question path with citations and uncertainty.
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4
doctorShows the host boundary and whether to move from demo to a real run.
Read this page through three reviewer questions.
This page gets stronger when it behaves like a ledger, not a wall of caveats. Start from the question you are actually asking.
Read the remote read-back cards when the question becomes release feed, registry posture, or package boundary instead of repo implementation truth.
Use the manual tail cards when the answer lives in GitHub settings, registry submission, social preview save, or a platform-side approval flow.
Repo-side proof
These are the facts the repository can prove on its own, without asking you to trust screenshots, folklore, or platform settings.
notes-recovery demo
Proves the public-safe case-root workflow shape without touching private evidence or a live Notes store.
notes-recovery ai-review --demo
Proves AI exists as a bounded review layer on derived artifacts.
notes-recovery ask-case --demo ...
Proves the repo can answer one bounded question with evidence refs, confidence, and uncertainty.
notes-recovery doctor
Proves the host boundary, optional surfaces, and safest next step are inspectable before a real run.
Remote read-back proof
This layer depends on fresh GitHub read-back. It is stronger than docs claims, but still weaker than repo-owned proof because platform state can drift.
GitHub repository is public, points at the current Pages landing, and keeps the current product description aligned with the copy-first story.
Fresh read-back exists for the PyPI package lane and the official MCP Registry entry that backs the current stdio-first MCP surface.
The standalone public skill packet is live on ClawHub as a secondary lane. That supports discovery, but it does not replace the landing-first copy-first story.
Manual external tail
These are the truths that still require a human click, platform permissions, or owner-operated follow-through.
Branch protection, discussions, social preview save state, and security settings still live in GitHub's own control plane.
Listing posture remains weaker than repo proof until the platform itself confirms the final state with fresh read-back.
Anything that depends on marketplace submission, account ownership, or settings toggles stays outside the repo's self-proof envelope.
How to use this ledger without over-reading it
If you are arriving cold, do not read every paragraph. Read like a reviewer: prove the path, classify the claim, then decide if the question needs repo proof, remote proof, or a human click.
When the repo-side proof is enough
Use the repo-side layer whenever the question is about workflow shape, demo safety, AI review boundaries, case-root artifacts, or local MCP behavior.
When you should trust remote read-back instead
Use remote read-back when the question is about release feeds, registry posture, or public GitHub configuration that the repo itself cannot authoritatively store.
When the answer still lives in a manual tail
If the truth lives in settings, approval queues, or a platform-side button, keep it labeled as manual tail instead of pretending the repo already proved it.