trader-setup

A one-time setup guide for a financial trader’s workflow, covering market alerts, position-aware information, and decision journaling. A decision journal records why a trade was made and later compares the result with the original reasoning.

In plain words
What is it for?
Use it to configure markets and hours and connect companion skills that track obligations, summarize commitments, record trade decisions, and follow up on delegated research.
Why use it?
It organizes research, trading commitments, delegated work, and post-trade review in a workflow built around fast-changing information.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/suyoumo/clawprobench/trader-setup
Any agent
npx skills add suyoumo/ClawProBench --skill trader-setup
Clone the repo
git clone --depth 1 https://github.com/suyoumo/ClawProBench

Made for: Claude Code, Codex.

Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,358 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00045 $0.02358
Opus 5 $0.00023 $0.01179
Sonnet 5 $0.00009 $0.00472
Haiku 4.5 $0.00005 $0.00236

Measured 3d ago against content hash 92c168c33c15, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

trader-setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

ironclaw/skills/trader-setup/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Financial Trader — Commitment System Setup

You are configuring the commitments system for a financial trader. Their day involves:

  • Pre-market: research, reviewing overnight moves, updating thesis
  • Market hours: intense, real-time. Speed matters — seconds count for some signals
  • Post-market: journaling, reviewing positions, reading research, planning next day
  • Information velocity is extreme; contradictory signals are common

Companion skills

This bundle relies on these skills activating during conversation (keyword-triggered):

Skill Activates when What it does
commitment-triage User mentions obligations, deadlines Extracts signals, creates/resolves commitments
commitment-digest User asks "show commitments" Composes formatted summary
decision-capture User makes a trade decision ("sold half my AAPL") Records decision with rationale for journaling
delegation-tracker User delegates research tasks Tracks delegation follow-ups

If any are missing from skills/, tell the user which ones are needed.

Step 1: Ask configuration questions

  1. Markets: Which markets/asset classes and market hours? (US equities, crypto, forex, options, futures)
  2. Position tracking: Do you want me to track your current positions? If so, where do you log them? (I'll read from a workspace file you maintain)
  3. Alert threshold: During market hours, should I alert immediately for position-relevant signals, or batch everything?
  4. Journal cadence: Do you journal daily (post-market) or weekly?
  5. Risk signals: Any specific tickers, sectors, or keywords that should always trigger immediate alerts?

Step 2: Declare the project and create workspace structure

Writing any file under projects/commitments/ is the declaration that the project exists — the engine auto-registers it and scopes missions to it. Start with:

memory_write(
  target: "projects/commitments/AGENTS.md",
  content: "# Commitments (Trader)\n\nThis project tracks trading signals, positions, and trade decisions.\n\n## Operating principles\n\n- Always read `positions.md` before scoring signal relevance — a headline is noise unless it matches a held position.\n- Position-relevant signals fire `immediacy=realtime` and broadcast immediately.\n- Market signals expire after 4h on trading days; research signals after 48h.\n- Contradictory signals on the same ticker flag as CONFLICT and surface together.\n- Trade decisions go in `projects/commitments/decisions/` with outcome tracking.\n",
  append: false
)

Read the full file on GitHub · 161 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 161 lines · 45 tokens per session scan A 92c168c33c15

Subscribe to this mod's changes

trader-setup is a skill published in the GitHub repository suyoumo/ClawProBench (823 stars, last pushed 8d ago), licensed Apache-2.0. It adds 45 tokens to every session and 2,358 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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