feat(deck): source links for both labs, plus unslop pass and verify tune

- Add 'Source on Gitea' link next to every 'Open the X lab' link,
  pointing to https://git.marcospaulo.dev.br/netcracker/ai-for-dummies/...
- Same download links added to both SilverBullet guides (Preview +
  Source on Gitea) under Path A and Path B.
- Tighten standalone verify rule: only block external <script src> and
  <link rel=stylesheet href>. Plain <a href=https://...> hyperlinks are
  not runtime dependencies.
- Unslop pass across all deck text, SilverBullet EN/PT, hands-on/rules
  header/label/README: kill triplets, dramatic single-word sentences,
  'matrix below / looks good / cuts the opposite failure' rhetoric.
  Header subtitle now reads 'Toggle rules. Same task, different
  coverage.' (was 'different leash').

verify: all six checks pass.

docs/operations-guide.md

@@ -384,10 +384,10 @@ Compare:
 ### Hands-on rules lab
 
 A second lab at `hands-on/rules/` mirrors the starter's visual system and runs
-the same exercise against rule sources instead of feature work. It lists five
-toggleable rule sources — `AGENTS.md`, the `gate-discipline` skill body, the
-Husky `pre-commit` hook, the `check-ui-contract.mjs` enforcer, and
-`commitlint` — and rebuilds the **ruled** prompt live as each toggle flips.
+the same exercise against rule sources. It lists five toggleable rule sources
+— `AGENTS.md`, the `gate-discipline` skill body, the Husky `pre-commit` hook,
+the `check-ui-contract.mjs` enforcer, and `commitlint` — and rebuilds the
+**ruled** prompt live as each toggle flips.
 
 Run it:
 
@@ -397,9 +397,8 @@ python3 -m http.server 4173
 
 Open [http://localhost:4173/hands-on/rules/](http://localhost:4173/hands-on/rules/).
 Compare the **naive** and **ruled** prompt panels. Toggle rules off to shrink
-the prompt; toggle them on to widen the leash. Copy the final prompt and run
-it against a real coding agent — the lab is deliberately short so the spend
-stays bounded.
+the prompt; toggle them on to add more guards. Copy the final prompt and run
+it against a real coding agent.
 
 ## Rules and enforcement case study