alphacouncil-agent

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A real run, in real time. Want the still version? Six lenses reaching the same call for different reasons · a complete real report (SOX, full council, zh)

Ask an LLM "is this stock a buy" and you get one confident paragraph of training-data vibes. Ask AlphaCouncil and you get an argument — eight core or eleven all-scope evidence agents pull the primary sources, twenty-six investor-method lenses read the same facts and disagree in public, bull and bear cross-examine each other for three rounds, and a portfolio manager signs a verdict with entry bands and the conditions that would invalidate it. Every claim traces to a source ID; a method whose inputs are missing says so instead of guessing.

Watch it happen live: the bundled terminal client plays the council as a meeting transcript — each master speaking under a stance-colored name, statements typing out character by character.

AlphaCouncil is a Codex and Claude Code plugin. Full council is the default; an explicitly requested quick run uses a smaller, plugin-managed headless contract. Both gather sourced evidence, run selected method seats and produce an auditable portfolio-manager report.

✨ Why AlphaCouncil

This repository is the uploadable source copy. Runtime outputs are written outside the repo under ~/.alphacouncil-agent/runs/<run_id>/.

What this ships

npm install -g alphacouncil-agent installs the current release.

Twenty-six method seats, each running its own formulas and its own thresholds against typed facts built from SEC filings, FRED series, issuer holdings disclosures, published index aggregates, Section 16 ownership, cross-market price history and dated industry news. Fifty-two executable method tools.

Measured against live grounding, with no fixtures: every one of the 26 seats reaches a stance somewhere across a mixed set of symbols, with no contract failures. A basket that had no data path at all — SOX was in neither registry — now produces 40-plus typed facts, and the seats that read them are running the same methods they run on a company.

Honesty note: seat formulas are AI-authored reconstructions of named published methods, pending human review — the governance status and what remains open are tracked in the v1.0.0 release contract, and npm run check prints exactly where that stands.

Trust posture: zero runtime dependencies, no install scripts, no telemetry, every data source keyless and public; analyst workers run in a read-only sandbox (codex exec -s read-only -a never --ephemeral). Details in SECURITY.md.

See the v1.0.0 release contract for the exact ETF/index and full/quick boundary and the report contract for quick_v1 versus full_v2.

Related MCP server: deeplook

📜 Disclaimer

This software is for educational and research purposes only. It is not investment advice, not a recommendation to buy or sell any security, and not a solicitation. AI-generated analysis can be incomplete, outdated, or wrong. Do your own research and consult a licensed financial professional before making any investment decision. The authors accept no liability for any loss.

Install

See docs/INSTALL.md for full Codex and Claude Code setup. Windows users: see the Windows section.

Prerequisites: Node.js >= 18. The headless research path also needs an installed, authenticated Codex CLI (each analyst worker runs as codex exec). On Windows, v0.3.0+ launches the CLI through cmd.exe and feeds prompts over stdin so native codex.cmd installs work without WSL in the normal case.

# Codex
codex plugin marketplace add Zhao73/alphacouncil-agent
# then run `codex`, open /plugins, install, and /reload-plugins

# Claude Code
/plugin marketplace add Zhao73/alphacouncil-agent
/plugin install alphacouncil-agent@alphacouncil
/reload-plugins

First run, 30 seconds, zero model spend — before committing to a full council, verify the data layer works:

/alpha AAPL news

That calls only keyless data tools and spawns no subagents. When it returns dated headlines and filings, the install is good; then try a full council with /alpha AAPL. Note the headless full/quick paths additionally need an authenticated Codex CLI (each analyst worker runs as codex exec) — Claude Code without Codex uses the visible host-subagent path instead, see docs/INSTALL.md.

🚀 Usage

Just talk to it. Mention the agent and a ticker or a question:

@alphacouncil-agent analyze AAPL as a long/short pitch
@alphacouncil-agent is AAPL a buy at current levels?
@alphacouncil-agent compare TSLA vs RIVN for a 12-month horizon
@alphacouncil-agent 帮我看看 700.HK 现在能不能买
@alphacouncil-agent トヨタ(7203)を分析して

You get back a single, chat-readable report:

VERDICT: Overweight  (confidence: medium)
├─ Analyst work log ........ 11 evidence agents, 38 sourced claims
├─ Bull thesis ............. demand inflection, margin expansion, buyback
├─ Bear thesis ............. valuation, customer concentration, cycle risk
├─ Short / medium / long ... 1-4wk · 3-6mo · 12mo views
├─ Catalysts & risks ....... earnings, guidance, regulatory
├─ Data gaps ............... explicitly listed, never hidden
└─ Source table ............ every claim mapped to <task>:<source_id>

The concise handoff is written to ~/.alphacouncil-agent/runs/<run_id>/user_response.md. The full report is written to ~/.alphacouncil-agent/runs/<run_id>/final_report.md, with analyst Markdown files and artifact_index.md in the same run directory. Full handoff shows the system quote (or an explicit quote-data gap), every receipt-bound analyst status/summary, and every selected method seat's frozen stance plus readable explanation/status. Its final section is a system-gated ledger: completed seats retain their full, untruncated statement; failed seats explicitly say that no directional view was produced and why. all therefore accounts for all 26 selected IDs without manufacturing votes. These are provisional method-seat outputs, never quotes from the named people. If a visible hard gate fails, finalize_visible_run closes the run as incomplete and returns this same handoff; the host must not replace it with a shorter manual recap.

For a full operating-company decision, the directory also contains company_dossier.json: the 8 core packets plus any 3 all-scope packets, the fixed 52-item core coverage ledger, source/claim lineage, typed facts and one canonical hash. Compact prompt evidence is only an index; downstream seats must read and acknowledge this same complete artifact before their output is accepted.

Slash commands

One command, /alpha. Modes are arguments, so there is one name to remember rather than four in a menu of a hundred.

The four marked none call keyless data tools and spawn no subagents, so they cost nothing beyond the turn you type them in. Full and quick first display every master with a number, identity, method and best-use case. A native multi-select may make that easier, but all four hosts support the same numbered text fallback. Full accepts all; quick accepts only 1-4 distinct seats and rejects all. Even a request that already names a master must show the catalog and confirm a fresh, one-use, mode-bound receipt before research starts.

Any listed equity: /alpha AAPL · /alpha 0700.HK quick · /alpha 7203.T news · /alpha market rates. Filings-based modes need a US filer; other markets are reported through market_coverage rather than silently returning nothing.

Full v2 — three depth tiers, chosen at the gate

The run asks how deep to go before it asks which methods to seat. You never type a speed: begin_council_selection returns the menu, with the expected time and the hard ceiling for each tier side by side.

All three are the same full_v2 contract — the separately selected 8- or 11-seat analyst roster, every selected method, three debate rounds and the PM. A tier changes how long each seat may think, never which seats run. Both numbers are published because a ceiling shown alone reads as the estimate, and then every fast run looks like it takes fifteen minutes.

A tier moves every per-stage cap together with the total, and it also shapes what each worker is asked to produce. That second half matters: a cap on its own is a timeout, and the same prompt with a shorter fuse buys a packet the worker could not finish rather than a faster good one. Since an LLM call's wall clock is dominated by the tokens it generates, fast asks for the same information in less prose — claims, figures, scoped source IDs, required report sections and the decision are never what gets cut; restatement is. slow buys room to write a derivation out step by step.

The chosen tier binds into the one-use selection_receipt, so an execution call may repeat it but never change it: a run approved as fifteen minutes cannot become an hour, and status.json records which tier produced it. Quick has no tier — it is a smaller contract, not a slower one.

All receipt-bound evidence workers start in one parallel wave. After the evidence barrier, each selected physical v3 method freezes its deterministic stance and then gets one isolated voice worker that explains, but cannot change, that result in a strong method-specific first person. This includes a frozen abstention. Bull and Bear run in parallel within each of the three rounds, with a barrier between rounds, followed by the PM.

At expiry the server persists incomplete with every timed-out, failed and skipped role. The tier's ceiling is a terminal-persistence guarantee, not a promise that search, model transport or data providers will let every seat succeed. A visible-host plan_visible_run is scheduled outside the plugin and cannot be force-stopped, so it carries no time claim at all.

The resulting full handoff names every selected stable master ID and all 8 or 11 analysts, and includes a system-owned price snapshot or explicit unavailable-data record. Method-seat voice is a recorded provisional lens explanation, not a quote, endorsement or current statement by the named person. System-owned output supports Chinese (zh-CN), English, Japanese and Korean; each worker receives the run language.

Quick v1 — bounded, not full

Quick is never inferred from impatience or a full-run failure. It runs only through the plugin-managed headless analyze_symbol(council_mode="quick"); plan_visible_run rejects quick. After the complete 26-seat display and a 1-4-seat confirmation, it executes:

1. market_data, earnings_deep_dive, valuation_long_short and news_industry_management in one parallel wave;

2. the 1-4 selected method seats in one parallel wave;

3. one Bull and one Bear statement in parallel, then one short PM;

4. deterministic quick_v1 report assembly and standard artifacts.

Recent company and industry news must be dated inside the 120 days ending at as_of; future, undated and older items are excluded from recent news and recorded as gaps. The hard queue-to-persistence ceiling is 600000 ms: grounding wait 20s; each parallel evidence worker 210s; each parallel method worker 90s; Bull and Bear 90s per side; PM 90s; final assembly/persistence reserve 20s. Retries consume the same caps and global clock.

Quick has no round-2 rebuttal, round-3 exact Q&A or adversarial source_fidelity/rederivation/refuter fan-out. It may terminate degraded only under its explicit coverage rules and system-owned degraded ledger; otherwise missing required work is incomplete or failed. report_quality=passed means the quick_v1 structure passed—it does not make the run complete or equivalent to full_v2. A method-seat result is a recorded provisional lens output, never a quotation from the named person.

Available in Claude Code, OpenCode and Grok Build as soon as the plugin is installed. Codex keeps its prompts user-scoped, so copy it once: mkdir -p ~/.codex/prompts && cp commands/alpha.md ~/.codex/prompts/

What It Does

Default stock-analysis runs are full runs, not lite summaries:

• Market data and price action

• Earnings deep dive, including the earnings call

• Forward expectations, implied beat/miss thresholds, and sell-side target revisions

• Quant factor view: momentum, trend, volatility, liquidity, relative strength, crowding

• Valuation and long/short pitch, with price bands rather than a single target

• News, industry context, supply chain, and management's words checked against their actions

• SEC filings, Form 4 insider transactions, buybacks, dilution, debt and capital allocation

• Investment-banking event analysis for M&A, ECM, debt, buybacks and strategic transactions

• A fixed 52-item operating-company dossier with explicit covered, unavailable or genuinely not-applicable status for every decision-relevant domain

• A selectable bench of 26 investor method lenses reading the same facts

• Bull researcher, bear researcher and portfolio-manager synthesis

Full is fail-fast at its mandatory evidence barrier. If a required evidence role still fails after the one bounded parse-only repair, the run persists the failure and diagnostic artifacts, skips selected-method, debate and PM model calls, and terminates incomplete. It does not spend downstream synthesis time on a run that cannot satisfy full_v2.

The final report is readable directly in chat. It carries analyst work logs, data and filing summaries, the bull/bear debate, the PM verdict, entry price bands, short/medium/long-term views, data gaps, confidence and a source table.

🔧 Tools — 34, all keyless

Nothing below needs an API key, an account, or a config file. Install and run.

What it deliberately will not do. Every one of these is stated in the tool output itself, not only in the docs, because the payload is what gets quoted downstream:

• IV percentile needs accumulated observations. Valid daily snapshots are saved locally; fewer than 60 distinct trading days stays building_history, never a fabricated percentile.

• X / Twitter has no free discovery channel as of 2026-07. Nitter search is dead, the X API bills per post and xAI bills per call. Professional FinTwit is not covered, and Reddit is not a substitute for it.

• A screen rule whose inputs are missing is skipped, never a pass.

• A news item with no parsable timestamp is excluded, not shown as recent.

• A contract reporting iv = 0 — CBOE does this for expired and deep-in-the-money contracts — is dropped rather than averaged in, because a zero does not look like a gap, it looks like a calm stock.

🏛️ The bench — 26 investor method lenses

Reconstructions of publicly documented methods, not anything the named people said. Each states how it thinks, what it notices first, its characteristic challenge, and its own failure mode — a seat that cannot name how it goes wrong will not flag it when it does.

Why “seat”? It is the council's stable selection and accounting slot: one method ID, one fact contract, one result or explicit failure, and one final-ledger entry. It does not mean the person is present, that every seat is a separate model/source, or that 26 seats are 26 independent samples. Reader-facing text calls them method lenses; internal protocols retain seat because it precisely names that orchestration obligation.

The solo_test catalog has 26 selectable physical v3 packs, but 26 physical packs is not 26 approved method models. Every seat is a provisional operator_lens backed by project-derived proxy material; the 52 method tools are executable test proxies, not human-approved formula attribution. Operational and method_model counts are both zero, and production GA remains fail-closed.

skills/alphacouncil-method-lenses adds one router plus 26 on-demand, hash-bound method references for methodology comparisons and frozen-result explanations. It deliberately avoids 26 globally triggered Skills and third-party runtime dependencies. Every reference uses a strong first-person public-method simulation—verdict first, characteristic vocabulary, reasoning order, and failure mode—while the short AI public-method simulation label distinguishes it from a quote. The references remain method_reference_provisional; they do not replace the deterministic packs. The public-Skill A/B pilot and the presentation mechanics adopted from it are recorded in docs/evaluation/method-skill-pilot-2026-08-03.md.

Masters read the same established facts the analysts read — filings, quotes, financials, macro — and receive the analyst packets separately, labelled as other seats' readings rather than as fact. That separation is the point: the bench is worth having only because Munger looks at incentives where an analyst looked at margins. See docs/attribution.md.

Every selected seat gets its own isolated voice worker, including out_of_scope. The council UI renders the project-derived result in strong first person: action verdict first, then what I see, how my method reads it, where I disagree, and what changes my mind. The method's distinctive questions, vocabulary, reasoning order and failure mode are required; a neutral “Buffett would” summary is rejected. Each independently readable surface carries one short AI public-method simulation label. It is not evidence of the person's words, endorsement, private reasoning, current view or holding.

🧩 Architecture

The diagram below is the full/deep path. Quick retains the Master Bench but uses its fixed four-role evidence wave, one parallel Bull/Bear statement round and short PM; it does not run the verifier node shown here.

flowchart TD
    U["@alphacouncil-agent<br/>ticker / question"] --> G[("Established facts<br/>filings · quotes · macro · options")]
    G --> AG{{"Analyst council"}}
    G --> MS{{"Master bench<br/>26 lenses"}}
    AG --> A1["📈 Market data"]
    AG --> A2["💰 Earnings"]
    AG --> A3["⚖️ Valuation"]
    AG --> A4["🧮 Quant factors"]
    AG --> A5["🏛️ Insider / SEC"]
    AG --> A6["📰 News / narrative"]
    A1 --> EV[("Evidence base<br/>sourced packets")]
    A2 --> EV
    A3 --> EV
    A4 --> EV
    A5 --> EV
    A6 --> EV
    EV -.->|"read as interpretation,<br/>not as fact"| MS
    EV --> VF{{"Verifiers<br/>fidelity · re-derive · refute"}}
    VF -->|"failed checks<br/>down-weight the seat"| PM
    MS --> BULL["🐂 Bull"]
    MS --> BEAR["🐻 Bear"]
    EV --> BULL
    EV --> BEAR
    BULL --> PM{{"Portfolio manager"}}
    BEAR --> PM
    PM --> R[["final_report.md<br/>verdict + entry price bands"]]

The masters branch off the facts, not off the packets. Feeding 26 lenses one analyst's selection of what mattered would give them all the same blind spot — a large and perfectly correlated error — and would remove the reason for having a bench at all.

Key files:

• .codex-plugin/plugin.json - Codex plugin metadata.

• codex.mcp.json - isolated Codex MCP server wiring.

• assets/logo-icon.png - plugin icon used by Codex.

• skills/alphacouncil-agent/SKILL.md - runtime instructions for Codex.

• mcp/server.mjs - JSON-RPC MCP server and workflow implementation.

• scripts/selfcheck.mjs - minimal regression check.

🆚 Codex vs Claude Code edition

For full council, both editions share the same workflow, JSON packet contract, audit artifacts, the no-API-keys / live-web evidence model, and the same disclaimer. The Claude Code edition changes only how the full council is run. Quick does not use visible host orchestration on either edition; it always uses the plugin-managed headless path.

Honest scope: same model family, same prompts, same audit contract — the win is context isolation, always-on parallel fan-out, and deterministic gates, not a smarter model. As of v0.3.0 the shared server runs the 3-round debate, enforces missing-source / full-run / report-quality gates, writes concise and full report artifacts, and supports native Windows Codex CLI launching. As of v0.3.1, the plugin also bundles agent-skills-governance, an addyosmani/agent-skills-style anti-laziness skill with explicit stop gates and exit criteria. The Claude Code edition adds parallel per-round execution and host-driven per-claim verification. Live-web staleness and paywalls limit both editions equally.

Data Contract

Evidence agents return JSON packets:

{
  "task": "market_data",
  "symbol": "AAPL",
  "as_of": "YYYY-MM-DD",
  "summary": "string",
  "claims": [
    {
      "claim": "string",
      "evidence": "string",
      "confidence": "high|medium|low",
      "source_ids": ["market_data:S1"]
    }
  ],
  "metrics": {},
  "sources": [
    {
      "id": "market_data:S1",
      "title": "string",
      "url": "https://example.com",
      "published_at": "YYYY-MM-DD or unknown",
      "retrieved_at": "YYYY-MM-DD"
    }
  ],
  "open_questions": ["missing data item"],
  "confidence": "high|medium|low"
}

All source IDs are task-scoped as <task>:<source_id>. Missing data must be reported in open_questions and in the final report's data-gap section.

Terminal Client (TUI)

Watch the council deliberate as a live meeting transcript, without leaving the terminal. Each seat speaks under its own name with a stance-colored tag, the current statement types out character by character, and finished statements collapse to an excerpt and scroll up — plain text that renders identically on every terminal:

npm run tui                 # latest run; live-tails if still running
npm run tui -- <run_id>     # a specific run
npm run tui -- --replay     # animate a finished run in completion order

On start it asks for a UI language (English default · 中文 · 日本語 · 한국어), or pass --lang en|zh|ja|ko — Chinese and Japanese localize the master names too (芒格、タレブ…). Statements render in the language the council ran in.

Keys: q quit · space pause · → finish typing · n next speaker. A statement is a recorded provisional method output; the named person never spoke it.

Run Viewer (local GUI)

Every run persists its full artifact tree under ~/.alphacouncil-agent/runs/<run_id>/. The bundled viewer makes those reports browsable — a zero-dependency local server, loopback-only, strictly read-only:

npm run gui
# → http://127.0.0.1:7999

It lists every run with status and mode, renders final_report.md, per-seat statements and the debate record, and can auto-refresh while a council is still running.

Run Locally

npm run check

The check validates:

• MCP server syntax

• tool schema exposure

• source ID scoping

• default real-run behavior

• visible-run recording

• events.jsonl, status.json, all_agents.md, source_manifest.json

• final_report.md, user_response.md, artifact_index.md, report_quality.json

• one Markdown file per evidence analyst plus bull, bear, and portfolio manager

• final report includes analyst work log, bull/bear debate record and data gaps

Codex Install Shape

The plugin expects this local layout:

.codex-plugin/plugin.json
codex.mcp.json
skills/alphacouncil-agent/SKILL.md
mcp/server.mjs
scripts/selfcheck.mjs
package.json

codex.mcp.json runs:

{
  "mcpServers": {
    "alphacouncil-agent": {
      "command": "node",
      "args": ["./mcp/server.mjs"],
      "cwd": "."
    }
  }
}

Notes

This is an independent Codex plugin implementation. It uses a multi-agent investment-committee workflow: analyst teams, evidence sharing, bull/bear debate and portfolio-manager synthesis.

No API keys, brokerage credentials, private filings or generated run artifacts should be committed.

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