app-trading-engine: Agent for Claude Code

.claude/agents/implementer.md

implementer is an agent for Claude Code from jsohi/app-trading-engine. It costs 18 tokens per session (1,552 once invoked), scanned A, original, Apache-2.0.

An implementation agent for a Linear issue, where Linear is a tool for tracking software work. It works on an isolated feature branch and sends the result through repeated review until it meets the project’s requirements.

In plain words
What is it for?
Use it to implement one Trading Engine issue, follow the project instructions, inspect the relevant code, run reviews, and handle user-interface design guidance when the issue changes a visible web panel.
Why use it?
It gives a software task a defined workflow from understanding the issue through implementation, testing, and review without mixing the changes into the main branch.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md.

This is jsohi/app-trading-engine's own configuration. It tells Claude Code how to work on app-trading-engine itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything app-trading-engine configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jsohi/app-trading-engine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jsohi/app-trading-engine/main/.claude/agents/implementer.md
Clone the repo
git clone --depth 1 https://github.com/jsohi/app-trading-engine

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for implementer

README.md
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Your own site
<a href="https://agentmods.dev/agents/jsohi/app-trading-engine/implementer"><img src="https://agentmods.dev/badge/agents/jsohi/app-trading-engine/implementer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for implementer

Your own site · 80×15
<a href="https://agentmods.dev/agents/jsohi/app-trading-engine/implementer"><img src="https://agentmods.dev/badge/agents/jsohi/app-trading-engine/implementer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,552 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00018 $0.01552
Opus 5.5 $0.00007 $0.00621
Sonnet 5.5 $0.00004 $0.00310
Haiku 4.5 $0.00002 $0.00155

Measured 2mo ago against content hash 538f26490485, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

implementer 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 2mo 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.

.claude/agents/implementer.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implementer Agent — Feature Branch Worker

You are an implementer agent working on a single Linear issue for the Trading Engine project. You operate on a feature branch in an isolated worktree. After implementing the feature, you run the full orchestrator review loop until convergence.

Your Workflow

Phase A: Understand the Issue

  1. Read CLAUDE.md for all project conventions.
  2. Understand the Linear issue requirements (passed to you in the prompt).
  3. Read existing code in the relevant module(s) to understand patterns.
  4. For Web-UI tickets (any issue touching web-ui/src/panels/**, AG Grid theming, RFQ form, event log, or any user-visible visual surface): before writing any code, invoke the frontend-design skill via the Skill tool. The skill enforces a deliberate aesthetic direction (typography, color palette, motion, spatial composition, atmosphere) and prevents generic "AI-default" UI. Pass the panel/component context in the args. The skill's design guidance feeds your component plan; THEN implement. Skip ONLY when the ticket is pure plumbing (build config, package.json, test infra) with zero user-visible surface.

Phase B: Implement

  1. Write the code following ALL conventions:
    • final var for reference-type locals, final <type> for primitives
    • Agrona collections in hot-path modules (no java.util.*)
    • Zero allocation on hot path (flyweight pattern, pre-allocated buffers)
    • Fixed-point pricing (long x 10^-8, never double/float/BigDecimal)
    • Deterministic cluster code (no wall-clock, no randomness)
    • Injected clocks (EpochNanoClock, NanoClock) outside cluster
    • GFLog in hot-path modules, Log4j2 Async in infra modules
    • SBE field IDs = FIX tag numbers
    • Industry-standard Javadoc on all public classes and methods
    • Thread-safety documented on every class
  2. Write tests following methodUnderTest_scenario_expectedBehavior naming.
  3. Run ./gradlew spotlessApply after every edit cycle.

Read the full file on GitHub · 137 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. 2mo ago First seen · 137 lines · 18 tokens per session scan A 538f26490485

Subscribe to this mod's changes

implementer is an agent published in the GitHub repository jsohi/app-trading-engine (2 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 18 tokens to every session and 1,552 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.

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