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Operate the Igor trading lab (paper SPY put-credit validation, broker sync, safety gates, RAG). Use when working in the trading repo, checking status, planning trades, or touching risk/execution code. Prefer dry-run and ledger evidence over claims.
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Original instructions from the publisher’s SKILL.md
# Trading ops (agent skill) This skill teaches an agent how to **operate** this repository safely. It is not a profit claim. Repo: paper-first SPY options validation. Active family: **`spy_put_credit`**. Iron condor **new entries killed**. ## Safety gates (hard) Before any action that could submit orders or close positions: 1. Read `data/runtime/strategy_kill_switch.json` — confirm `active_family` and `live_blocked`. 2. Prefer **paper** paths only. Live is blocked until kill criteria clear. 3. **Do not** freehand-close positions outside `spy_put_credit.py` or `residual_ic_manager.py`. 4. **Do not** remove `data/TRADING_HALTED` / halt flags to “unblock” trading. 5. **Do not** recreate iron-condor entry workflows; they must remain absent. 6. Never hardcode Alpaca keys; use `get_alpaca_credentials()`. If a tool or hook refuses a boundary action, treat that as signal — find the allowed path or stop. ## Canonical files | Path | Authority | | ------------------------------------------ | ---------------------------------------------- | | `data/system_state.json` | Broker snapshot (equity, positions, orders) | | `data/trades.json` | Paired closed structures (edge metrics) | | `data/put_credit_entries.json` | Put-credit lifecycle journal | | `data/runtime/strategy_kill_switch.json` | Active / killed strategy families | | `src/core/trading_constants.py` | Policy constants | | `rag_knowledge/lessons_learned/` | Operator memory | | `rag_knowledge/arxiv/` | Continuous arXiv research corpus (Agentic RAG) | | `data/audit/arxiv_ingestion_manifest.json` | arXiv ingest dedupe + run history | Unmatched fills are **not** trades. Do not promote them into win rate / expectancy. ## Continuous arXiv research ingest Twice-daily GitHub Action (`arxiv-paper-ingestion.yml`) pulls new papers from [arXiv](https://arxiv.org) (API: `export.arxiv.org`) into `rag_knowledge/arxiv/` and rebuilds `data/rag/lessons_query.json`. Local: ```bash make arxiv-ingest python scripts/arxiv_paper_ingestion.py --query "option credit spread" --json ``` Papers are **research context only** — never treat them as live signals or edge proof. ## Judge panel (claim / PR / coord audit — not trade entry) Mixture-of-Experts + hard-veto judge for **agent claims**, PR text/diffs, and multi-agent collisions. ```bash python scripts/judge_panel.py --self-check python scripts/judge_panel.py --kind claim_audit --text "CI green on run <id> sha <sha>" python scripts/judge_panel.py --kind pr_audit --diff-file /tmp/patch.diff python scripts/judge_panel.py --kind coord_audit --agent grok \ --other-claims-file ~/Documents/AI-Agent-Sync/Agent-State/codex.md \ --claimed-file src/evals/judge_panel/panel.py ``` - Code: `src/evals/judge_panel/` - **Never** use this panel to approve put-credit or IC entries (`trade_entry` always vetoes). - Edge / “ready for live” claims without ledger or run evidence → fail/veto. ## Status commands (read-only first) ```bash python scripts/spy_put_credit.py --status python scripts/audit_open_inventory.py python scripts/system_health_check.py # optional refresh (mutates local state files; does not open risk by itself) python scripts/sync_alpaca_state.py python scripts/sync_closed_positions.py # Graph RAG (relationships across kill switch, lessons, paired trades) python scripts/graph_rag_query.py --rebuild python scripts/graph_rag_query.py --query "why is iron condor killed?" --graph-only # Hard gate: rebuild + 5 golden multi-hop assertions (CI offline-evals + make check) python scripts/verify_graph_rag.py make graph-rag-check # Official Graphify-Labs/graphify (package graphifyy; graph.json query/path/explain) python scripts/graphify_ops.py status --json python scripts/graphify_ops.py query "what calls TradeGateway" make graphify-check # zg-style local-first search (hybrid|fts|vector|rg) — docs/ZG_LOCAL_SEARCH.md python scripts/zg_search.py --check-ready python scripts/zg_search.py "put credit stop loss" python scripts/zg_search.py --route rg "TradeGateway" # JIT task→harness pack (memory/plan/actions/skills) — docs/JIT_HARNESS.md python scripts/jit_harness.py --check-ready python scripts/jit_harness.py "account status" python scripts/jit_harness.py --json "put credit dry-run" python scripts/jit_harness.py --receipt "spy_put_credit --status --dry-run" python scripts/jit_harness.py --receipt --record "merge ready PRs" ``` Inventory unclean (`exit 2`) → **no new risk**. ## Plan vs execute ```bash # plan only — no submit python scripts/spy_put_credit.py --dry-run # residual IC plan only (not new IC entries) python scripts/residual_ic_manager.py --dry-run ``` Never describe a dry-run plan as an executed trade. Completed paper work is a **broker-filled** 1-lot put-credit (`credit_source=broker_fill`). `--execute-paper` JSON `success: true` without `fill_confirmed` is not a fill (AGENT-610 / Astra FORMAT, not GPT-6). ```bash python scripts/work_within_reach.py --from-journal --json python scripts/work_within_reach.py --from-journal --execute-rc 0 --json ``` ## Evidence rules - Equity / P/L / win rate: cite `data/system_state.json` or `data/trades.json` with numbers. - 0 put-credit closed trades in cohort → no profitability claim. - Prefer `RETRIEVE → CITE → SPEAK`. ## Git / change protocol - Feature work in a dedicated `git worktree` under `.worktrees/`. - PRs for all changes; merge only with green CI evidence. - No force-push to `main`. - After substantive ops work, record lessons in `rag_knowledge/lessons_learned/` when severity ≥ 4 or a repeat mistake occurred. ## Tests ```bash make check make dry-run ``` ## What this skill is not - Not permission to deploy live capital. - Not a substitute for broker truth. - Not a claim that put-credit has edge before n≥30 cohort gates pass.