Gate 1 evidence, posted early because C's model fix and A's export are both downstream of it. garden_probe.html flies the sim's own garden loop (skyfx gardenExposure + gardenHailExposure, stepped the way main.js does) per rig line and prints the garden HP the sim would report. Browser-only by necessity: skyfx needs `document` (node throws), so garden prediction can never live in audit.mjs. The finding, every corner held on rated shackles (the sail's best case): night 1 gentle no hail bare 97.6 best 99.1 sail worth +1.5 night 2 southerly 0.7 bare 83.7 best 90.1 sail worth +6.4 night 3 buster 0.7 bare 82.6 best 90.1 sail worth +7.5 night 4 wild night 1.3 bare 35.7 best 60.5 sail worth +24.8 night 5 ice night 1.4 bare 0.0 best 27.7 sail worth +27.7 The separation IS hail size, exactly as A's GARDEN_DRAIN comment predicted: cloth blocks 100% of 1.3+ stones, 74% of pea hail, and rain at 73 degrees walks under and does nothing. No value of GARDEN_DRAIN can separate a good rig from none — it scales both by the same factor. Also found: my own audit's cover% is the SUN shadow, which C's skyfx comment already called "a number about nothing" during a storm. On the wild night it predicts the garden BACKWARDS (r = -0.42): the best garden line is p1,p2,p3,p4 at 25% cover / $65 / 60.5 HP, beating a 71% cover / $120 line at 52.8 HP. D's "$20 rig banked 39/45" and the QA's +$97 are the same fact — I sorted the table by the wrong quantity. Flagged to A: the ice night's garden cannot be saved at any price (best 27.7 vs WIN >= 50), and night 1's sail is worth 1.5 HP. The probe carries a TEMPORARY marked copy of main.js's private garden constants; asked A to export the model so audit and sim share one copy. Nothing ships against the copy — the probe is evidence, not a feature. |
||
|---|---|---|
| .claude | ||
| docs | ||
| prototype | ||
| tools | ||
| web/world | ||
| .gitignore | ||
| DESIGN.md | ||
| LANE_PROMPTS.md | ||
| PLAN3D.md | ||
| README.md | ||
| server.py | ||
| SPRINT2.md | ||
| SPRINT3.md | ||
| SPRINT4.md | ||
| SPRINT5.md | ||
| SPRINT6.md | ||
| SPRINT7.md | ||
| SPRINT8.md | ||
| SPRINT9.md | ||
| SPRINT10.md | ||
| SPRINT11.md | ||
| SPRINT12.md | ||
| SPRINT13.md | ||
| THREADS.md | ||
SHADES — rig it, then survive the night
Geometry/tower-defense: you're a small person rigging shade sails against Australian storms. three.js r175 (vendored, no build step) + a zero-dep Python server. Everything the repo needs is in the repo.
Run it
python3 server.py --port 8801 # any free port
# game: http://localhost:8801/web/world/index.html
# selftest: http://localhost:8801/web/world/selftest.html (must be all green)
# 2D proto: http://localhost:8801/prototype/index.html (the original thesis)
No pip, no npm, no build. Python 3.8+ and a browser.
Read in this order
DESIGN.md— the design canon (what the game is)PLAN3D.md— the build canon (stack, contracts, lane model)THREADS.md— the append-only lane log. The project's memory. Read the last few[I]integrator entries to know the current state.SPRINT12.md— the current sprint (highest-numbered SPRINTn.md wins)LANE_PROMPTS.md— copy-paste prompts per lane, per sprint (bottom = newest)
The lane model (how this repo is built)
Five parallel Opus agents ("lanes"), each in its OWN clone, on its own branch:
| lane | owns |
|---|---|
| A | main.js, world.js, camera, hud, week, sites, server — shell & integration, merge shepherd |
| B | sail.js, rigging — cloth sim, economy, balance.test pen |
| C | weather, skyfx, debris, storm/site wind data |
| D | player, interact, ladder, broom — and the designated playtester |
| E | Blender asset factory (tools/blender), models/, textures |
Hard rules (they exist because each was earned — see THREADS):
- One clone per lane. Never two agents in one working tree.
- Rebase onto latest
mainbefore starting; small commits; push your branch. - File ownership is the merge strategy; cross-lane needs go in THREADS.md.
- Selftest green after every landing. Skips must be real. An assert that cannot fail is decoration.
- All sim code is deterministic
(dt, t)— no Date.now, no rAF. - Measure, don't reason: the repo's biggest bugs were all "a number gathered from the wrong harness". When two harnesses disagree, find the variable.
Setup on a new machine
Gitea's SSH runs over tailscale (the public host is Cloudflare-proxied, no
direct SSH). Add to ~/.ssh/config:
Host gitea.partly.party
HostName 100.71.119.27
Port 222
User git
Then:
git clone git@gitea.partly.party:monster/shades.git ~/Documents/shades
for L in A B C D E; do
git clone git@gitea.partly.party:monster/shades.git ~/Documents/shades-lane$L
git -C ~/Documents/shades-lane$L checkout -B lane/$(echo $L | tr 'A-Z' 'a-z') origin/lane/$(echo $L | tr 'A-Z' 'a-z')
done
~/Documents/shades is the integration checkout (main; where merges and
sprint docs happen). The five shades-lane* clones are where lane agents run.
Per clone, once: cp .claude/launch.example.json .claude/launch.json and pick
a port of your own (integration 8823, lanes A–E 8824–8828). The real
launch.json is untracked — six checkouts on one laptop can't share one port.
Sprint cycle
- Fire lanes with the newest prompts at the bottom of
LANE_PROMPTS.md(Lane A usually first if the sprint gives it rulings/blocking items). - Lanes work, push their branches, log in THREADS.md.
- Integrate in the main checkout: merge
origin/lane/{e,c,b,d}(THREADS.md conflicts resolve keep-both-chronological; real code conflicts get read), run selftest, play the result, writeSPRINT(n+1).md+ prompts, push main AND fast-forward all fivelane/*branches to main.