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55cb866f333dce56a1d6f36a04508e5488e23ba0 · 2026-08-13 12:57:23 -0700 · auto-commit-fleet

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commit 55cb866f333dce56a1d6f36a04508e5488e23ba0
Author: auto-commit-fleet <steve@designerwallcoverings.com>
Date:   Thu Aug 13 12:57:23 2026 -0700

    auto-data-snapshot: 2026-08-13T12:57:05 (2 data files) — SKILL.md SKILL.md.bak-agentreach
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@@ -130,3 +130,6 @@ See `references/venues.md`.
 - `scripts/new_bot.py` — scaffold a bot project (paper, git-init'd).
 - `scripts/validate_strategy.py` — validate a strategy.json (schema + sandbox check).
 - `references/strategy-dsl.md` · `references/safety-model.md` · `references/venues.md`.
+
+## Free social sentiment (agent-reach) <!-- agent-reach-wired -->
+A strategy can read $0 Reddit/X sentiment via the **`agent-reach`** skill (`twitter` / `opencli`) as a signal input — no paid platform API. Stays PAPER by default; agent-reach is read-only and never places an order.
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+---
+name: zero-code-trading-bot
+description: 'Turn a plain-English trading strategy into a runnable, PAPER-FIRST prediction-market bot — scaffolded, validated, and safe by construction. The user describes a strategy in words ("buy Polymarket longshots under 8c with real volume, take profit at 15c, stop at 3c, $25 a bet, $250 max exposure"); this skill compiles it to a declarative strategy.json, validates every rule through a sandboxed evaluator, and scaffolds a self-contained bot project (zero-dependency Python: read-only market data + paper executor + append-only P&L ledger + dashboard) that runs against Polymarket''s public API with no key and $0. Use when Steve says "zero code trading bot", "build me a trading bot", "make a bot that trades this strategy", "paper-trade this idea", "backtest/paper this on Polymarket", "/zero-code-trading-bot", or describes a market strategy he wants automated. Composes with the polymtrx skill (signal discovery) and the Ken/Kalshi dashboard (Kalshi execution) instead of duplicating them. HARD RAIL: paper by default; going LIVE is Steve-gated (requires LIVE=1 + SAFE_MODE=0 + a confirmation token + a real broker key + a wired order call + a go-live approval memo) — the skill never places a real order, never sets those switches, never deploys a live loop. Always shows cost ($0 for paper).'
+argument-hint: 'zero-code-trading-bot "buy polymarket longshots under 8c, tp 15c, stop 3c, $25/bet, $250 cap" | validate strategy.json | scaffold <name>'
+allowed-tools: Bash, Read, Write, Edit, AskUserQuestion
+license: MIT
+user-invocable: true
+metadata:
+  type: reference
+  inspired-by: Sharbel (@sharbel) on X — "how I built a trading bot with zero code" / no-code AI-agent trading playbooks
+  engine: assets/bot-template (scaffolded per bot) + scripts/new_bot.py + scripts/validate_strategy.py
+  composes-with: [polymtrx, Ken/Kalshi dashboard]
+  tags:
+    - trading-bot
+    - prediction-markets
+    - polymarket
+    - kalshi
+    - no-code
+    - paper-trading
+    - strategy-dsl
+    - safe-by-default
+    - gated-live
+    - zero-cost
+---
+
+# zero-code-trading-bot
+
+## Overview
+
+Reproduce the **Sharbel (@sharbel)** "trading bot with zero code" playbook —
+*describe a strategy in plain English, iterate with an AI agent, end up with a
+running bot* — as a deterministic, **paper-first** scaffold. The user never
+writes code: they say what they want, Claude compiles it to a validated
+`strategy.json`, and this skill stamps out a self-contained bot project that
+paper-trades live prediction markets for **$0, no keys**.
+
+> **Provenance note.** The seed is the tweet at
+> `x.com/sharbel/status/2055680438417412359`. That exact post is unreachable (X
+> returns 404/paywall to automated reads), so the specific wording could not be
+> captured verbatim. This skill is built from Sharbel's verified, consistent body
+> of work — *"how I built a trading bot with zero code: 345 wins, 26 losses, no
+> Python… just talking to an AI agent and iterating"*, plus his Polymarket
+> copy-trading-bot and "run your business on AI agents" playbooks — and adapted to
+> Steve's hard rule that anything touching money is gated.
+
+This is a **build-and-paper-test contract**, not a license to trade. The skill
+authors, validates, scaffolds, and paper-runs. It stops at the money line.
+
+## When to use
+
+- "build me a trading bot" / "zero code trading bot" / "make a bot for this strategy"
+- "paper-trade this idea on Polymarket" / "automate this market strategy"
+- Steve describes any entry/exit/sizing strategy for prediction markets
+- After a `/polymtrx` scan surfaces an edge worth encoding as a repeatable bot
+
+Not for: placing live orders, wallet operations, non-prediction-market venues, or
+"just tell me the odds" (that's `/polymtrx`).
+
+## How to use it
+
+### 1. Compile the plain-English strategy → `strategy.json`
+
+Read `references/strategy-dsl.md` for the schema and the plain-English → JSON
+mapping. Translate the user's words into a `strategy.json` with `universe`,
+`entry`, `exit`, `sizing`, and `risk`. Rule expressions may reference **only**
+`price`, `volume_usd`, `liquidity_usd`, `spread`, `days_to_resolve`. Always set
+`mode: "paper"`.
+
+If the strategy is underspecified (no stop, no exposure cap, no bet size), ask
+with `AskUserQuestion` — a strategy without a risk cap is not shippable.
+
+### 2. Validate before anything runs
+
+```bash
+scripts/validate_strategy.py <path>/strategy.json
+```
+
+This confirms required keys, sane sizing/risk, and — critically — that every rule
+parses under the sandboxed evaluator with only known variables. Fix any error
+before scaffolding. A rule that fails here would silently misfire at runtime.
+
+### 3. Scaffold the bot project (paper, git-init'd)
+
+```bash
+scripts/new_bot.py <bot-name> --strategy <path>/strategy.json
+# → ~/Projects/<bot-name>/  (copied from assets/bot-template, mode forced to paper)
+```
+
+### 4. Paper-run and iterate
+
+```bash
+cd ~/Projects/<bot-name>
+python venue_adapter.py          # confirm live market data ($0, no key)
+python bot.py --once --dry-run   # decide, place NO fills — safest first look
+python bot.py --once             # first paper fills → data/ledger.jsonl
+python bot.py --loop             # continuous, every strategy.poll_seconds
+python dashboard.py --serve      # live paper P&L on a free localhost port
+```
+
+Iterate on the rules with the user, re-validate, re-dry-run. Every cycle prints a
+`cost:` line — `$0 (paper)` until someone deliberately goes live.
+
+### 5. Going live is Steve's call — never yours
+
+Read `references/safety-model.md`. To place real orders a human must clear **all**
+of: `LIVE=1`, `SAFE_MODE=0`, a `data/LIVE_CONFIRMED` token, a real broker key, a
+*wired* order call (the template leaves it unimplemented on purpose), and a
+go-live approval memo drafted to `~/.claude/yolo-queue/pending-approval/`. This
+skill does none of those automatically. `safe_mode` is a hard precondition, not a
+suggestion — the Ken/Kalshi autoTrader once traded with safe_mode on; here it
+cannot.
+
+## Composition (don't reinvent what exists)
+
+See `references/venues.md`.
+
+- **`polymtrx`** finds the edge (read-only Polymarket scan). Use `/polymtrx scan
+  <topic>` to *discover* a strategy, then encode it here.
+- **Ken / Kalshi dashboard** (`~/Projects/Ken/kalshi-dash`, pm2 `ken` :7810) owns
+  Kalshi paper portfolios + a `safe_mode`-honoring autoTrader. For Kalshi
+  execution, hand off to Ken rather than wiring a second money path — the
+  `KalshiDemoAdapter` here stays DEMO until Steve's prod Kalshi creds exist.
+
+## Files
+
+- `assets/bot-template/` — the scaffold copied per bot: `bot.py` (runner),
+  `strategy.json` (rules), `venue_adapter.py` (read-only data), `executor.py`
+  (paper vs gated-live), `ledger.py` (append-only P&L), `safe_eval.py` (sandboxed
+  rules), `dashboard.py` (P&L viewer).
+- `scripts/new_bot.py` — scaffold a bot project (paper, git-init'd).
+- `scripts/validate_strategy.py` — validate a strategy.json (schema + sandbox check).
+- `references/strategy-dsl.md` · `references/safety-model.md` · `references/venues.md`.

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