a4e667de10
Single-commit clean baseline after security scrub of niche-tells, project codenames, internal jargon, and contributor-email leaks. Contents: - 100 Rust crates (_primitives/_rust/) - 37 agent manifests (_manifests/) + generated specs (_generated/) - 67 user-invocable skills (skills/) - 33 hooks (hooks/) - Composition blocks (_blocks/) - Documentation (docs/, README.md) - TS adapter packages (_ts_packages/) - Assembler (_assembler/) - Roles (_roles/) - Templates (_templates/) - Forgejo CI (.forgejo/) Author: Denis Parfionovich <info@greendragon.info> License: see LICENSE.
27 lines
1.5 KiB
Markdown
27 lines
1.5 KiB
Markdown
# DEPLOY — LOCAL ONLY (sensitive / pre-disclosure project)
|
|
|
|
Use this block for any project that CANNOT be publicly deployed — typical triggers: proprietary ML weights/architectures you don't want in public training corpora, security tooling that burns its own usefulness on exposure, kernel-level code, client-confidential codebases.
|
|
|
|
**Hard forbidden (no matter how small the change):**
|
|
- Public-URL share pages / static HTML dumps to public hosting
|
|
- Vercel / Netlify / GitHub Pages / Cloudflare Pages public deploy
|
|
- `gh repo create` public, `gh repo edit --visibility public`
|
|
- `git push` to a public remote (GitHub, public GitLab)
|
|
- Publishing architecture diagrams with node counts, param totals, or training configs
|
|
- Public benchmark tables naming this project
|
|
|
|
**Allowed:**
|
|
- Private remotes (self-hosted Forgejo/Gitea over SSH on a private network)
|
|
- Tailscale-only internal services
|
|
- Local-only `127.0.0.1` / LAN dev servers
|
|
- `.app` / `.dmg` distribution via private channels
|
|
|
|
**Double-confirmation override (both phrases required, in order, exact wording):**
|
|
1. "yes, deploy"
|
|
2. "I confirm publication"
|
|
|
|
No approximations. Informal variants do NOT count. If either phrase is absent, refuse.
|
|
|
|
**Example categories that typically require local-only:** censorship-circumvention tooling (public push burns exit-node IPs), ML ensembles with trained weights, control / guidance algorithms, offensive security research.
|
|
|
|
**Report field:** "Public-deploy surface touched: none | <explicit surface> — double-confirm obtained yes/no."
|