alpha-review · diff
v1.0.0 to git:20261003.a2d662f
34 added, 17 removed. Audit B to B.
---
name: alpha-review
- description: "Open Anton's ALPHA REVIEW screen (the ONE place to mark judge keepers «золото/мимо» and see per-miner precision) + print the eval state. Trigger on “/alpha-review“, “открой экран альфы“, “экран отбора“, “экран золота“, “поднять экран разметки“, “alpha screen“, “открой разметку альфы“, “покажи eval альфы“"
- version: 1.0.0
+ description: >-
+ Open the alpha review screen to mark judge keepers as gold or miss, read per-miner precision,
+ and print the eval state. Use when tuning a miner's accuracy. Thin launcher over the existing
+ harvest engine and local review server. Triggers: "/alpha-review", "alpha screen", "open the
+ review screen".
+ license: MIT
---
- # /alpha-review — экран отбора альфы одной командой
+ # /alpha-review — the alpha selection screen in one command
- Движок уже построен (2026-06-18/20). Скилл = запуск + сводка, ничего не дублирует.
+ The engine is already built (2026-06-18/20). This skill is launch + summary; it duplicates nothing.
- ## Шаги
+ ## Steps
- 1. **Жив ли сервер?** `netstat -ano | findstr :8772` (PowerShell) / `netstat -ano | grep :8772` (bash).
- - Слушает → шаг 3.
- 2. **Поднять** (свежий harvest внутри):
+ 1. **Is the server alive?** `netstat -ano | findstr :8772` (PowerShell) / `netstat -ano | grep :8772` (bash).
+ - Listening → jump to step 3.
+ 2. **Start it** (a fresh harvest runs inside):
```
cd /e/Obsidian/_imports/alpha && PYTHONIOENCODING=utf-8 python alpha_review_server.py --no-browser
```
- в фоне (`run_in_background`). Альтернатива для Антона руками: двойной клик `$IMPORTS_ROOT/alpha/alpha-review.cmd`.
- 3. **Дать ссылку**: http://127.0.0.1:8772 — открыть в браузере (локально, наружу ничего не ходит).
- 4. **Сводка eval** (0 LLM-токенов):
+ in the background (`run_in_background`). Manual alternative for the operator: double-click `$IMPORTS_ROOT/alpha/alpha-review.cmd`.
+ 3. **Hand over the link**: http://127.0.0.1:8772 — open in a browser (local only, nothing leaves the machine).
+ 4. **Eval summary** (0 LLM tokens):
```
PYTHONIOENCODING=utf-8 python $IMPORTS_ROOT/alpha/alpha_tune.py
```
- Показать Антону: сколько размечено / precision по майнерам / что метить первым (uncertainty sampling: PARTIAL сначала). ≥8 меток на майнер → tune называет конкретную правку детектора.
- 5. **Напомнить петлю**: метки → `alpha_tune.py` → правка порога/фильтра детектора → re-harvest → re-label. На карточках бейдж партии (🆕 = свежая ночная партия).
+ Show the operator: how much is labelled / per-miner precision / what to label first (uncertainty sampling: PARTIAL first). At >=8 labels per miner, tune names a concrete detector fix.
+ 5. **Remind them of the loop**: labels -> `alpha_tune.py` -> adjust the detector threshold/filter -> re-harvest -> re-label. Cards carry a batch badge (🆕 = fresh nightly batch).
- ## Грабли
- - БД = накопительный ИНБОКС всех ночных партий (не только последнего judged-файла) — «лишние» айтемы не сталь, а неразмеченный бэклог. Не «чинить».
- - Пусто на экране ≠ нет данных: сперва проверить, что harvest прошёл (`alpha_harvest.py` печатает счётчики) и что смотрим на E:, не на C:.
- - 🔒 sostav-карточки = HIGH sensitivity: экран не скринить наружу, контакты только value-first (reglament-elitnye-kripto-komyuniti-zero-cold-dm-value-first).
+ ## Pitfalls
+ - The DB is a cumulative INBOX of every nightly batch (not just the latest judged file) — "extra" items are not junk, they are an unlabelled backlog. Do not "fix" it.
+ - An empty screen is not the same as no data: first check that the harvest actually ran (`alpha_harvest.py` prints counters) and that you are looking at the right drive (E:, not C:).
+ - 🔒 Community-sourced cards are HIGH sensitivity: never screenshot the screen outside, and approach contacts value-first only (standing rule for elite crypto communities: zero cold DMs, value first).
+
+
+ <!--kit-footer-->
+
+ ---
+
+ **Like this skill?** It is one of 100 in [second-brain-starter-kit](https://github.com/tonydzi/second-brain-starter-kit): the second brain we built for ourselves and run every day at Palo Alto AI Research Lab. Install the whole set with `npx skills add tonydzi/second-brain-starter-kit`. Everything is open source and free, so take what you need.
+
+ Flagships worth a look on their own: [secondop-panel](https://github.com/tonydzi/secondop-panel) (a second opinion from a panel of external models), [claude-memory-tidy](https://github.com/tonydzi/claude-memory-tidy) (stop your agent's memory from rotting), [telegram-mcp-kit](https://github.com/tonydzi/telegram-mcp-kit) (your own Telegram over MCP in about 15 minutes).
+
+ Author: **Anton Dziatkovskii**, Palo Alto AI Research Lab. Telegram [@tonydzi](https://t.me/tonydzi) - WhatsApp [+1 341 222 9178](https://wa.me/13412229178) - X [@Tony_Stef_](https://x.com/Tony_Stef_)
+
+ **Engineers: want to test-drive this setup?** Message me. I hand out free starter seeds to engineers who test and report back, and custom skill requests are welcome.