fomo-kernel: Instructions file for Codex

AGENTS.md

fomo-kernel AGENTS.md is an instructions file for Codex, OpenCode from atomchung/fomo-kernel. It costs 1,668 tokens per session, scanned A, original, MIT.

Core instructions for FOMO Kernel, a product that helps users research investments, compare candidates, and record portfolio consequences such as weights, concentration, and cash.

In plain words
What is it for?
It guides market research, investment comparisons, recommendations, portfolio reviews, projections, and the product's decision-related command-line tasks.
Why use it?
It keeps an agent's investment reasoning within the product's defined decision process and boundaries.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions AGENTS.md.

This is atomchung/fomo-kernel's own configuration. It tells Codex and OpenCode how to work on fomo-kernel 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 fomo-kernel configures →

Reuse

Borrowing it

Nothing to install: this file belongs to atomchung/fomo-kernel. 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/atomchung/fomo-kernel/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/atomchung/fomo-kernel

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 1,668 This file is loaded in full into every session.
When invoked 1,668 The same file — it is already loaded in full.
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 $0.01668 $0.01668
Opus 5.5 $0.00667 $0.00667
Sonnet 5.5 $0.00334 $0.00334
Haiku 4.5 $0.00167 $0.00167

Measured 1mo ago against content hash 2628a358cc74, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fomo-kernel AGENTS.md 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 1mo 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.

AGENTS.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — fomo-kernel

The always-on instruction floor every coding agent receives: what this product does, the rules that cannot bend, and where to go for anything that is not the core lane. Human-facing documentation lives in README.md. Host adapters (CLAUDE.md, Codex configuration) add tool mechanics and override nothing here.

The product

A user is making or revisiting an investment decision. FOMO Kernel may reason, research, discover candidates, compare them, and recommend an action. A recorded book adds deterministic portfolio consequences -- weights, concentration, drivers, cash, and the user's own rule collisions -- but it is evidence for those claims, not an entry requirement for useful judgment.

That decision lane is the product, and skills/fomo-kernel/SKILL.md is its contract. Read it. Nothing else is required to answer a decision.

Non-negotiable boundaries

Six rules. Each exists because a specific failure is otherwise unrecoverable.

  1. Reach product state only through the engine/review.py CLI — prepare, resume, preview, finalize, capture, consider, refresh, positions, render, weekly-market-read, repair-projections, set-cap, mute-rule, add-cash, resolve-market-data, doctor. Never call another engine/* script and never import engine modules directly; those paths bypass lifecycle validation, required-question gates, and canonical session state.
  2. The engine owns every portfolio-derived number, the portfolio basis, every identity, every rule_effect, and every state transition. Read them out of its response; never calculate, adjust, interpolate, or recall one — a market price supplied to the engine included. Public facts may be cited with source and as-of, the user's own written record may be quoted as theirs, and model judgment must stay labelled, but none may substitute for a portfolio fact. You may transcribe broker-declared facts; derived portfolio analysis is the engine's.
  3. Keep four states distinct: considered, user-resolved, user-reported execution, transaction-proven execution. Never promote one to the next. Only a transaction record proves a trade happened; the user saying they did it is a report; a consider call is neither.
  4. Private data and durable state stay local. Trades, holdings, amounts, motives, and cards never reach a third party or cloud memory. The review card is private to the user — local files, terminal output, and private-by-default in-client rendering are fine; publishing is not. Anything public — issues, PRs, fixtures, receipts — carries synthetic data only.
  5. Lead with the useful recommendation, and constrain claims rather than inquiry. Ask only questions whose answers could change the recommendation; there is no universal question count or required answer shape. When the user asks, the agent may discover, compare, select, or rank candidates, using relevant research and reporting the material limits of its search rather than claiming exhaustive coverage. Show the support and any counter-case material enough to change the action, the confidence in it, or the comparison against the alternative in play; a wait names what it waits for and the next checkable point. No process narration, no engine or schema vocabulary, and no manufactured concern once the evidence supports a stop. A target or forecast is labelled model judgment with its assumptions and uncertainty, never an engine fact or disguised certainty; a recommendation never impersonates the user's motive, certainty, or execution.
  6. Persist only through a canonical engine writer, and only when a named later reader exists. No hand-assembled state, no field written for a reader nobody built.

Read the full file on GitHub · 51 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. 1mo ago Changed · +28 tokens per session 2628a358cc74
  2. 1mo ago Changed · +11 tokens per session f00265528d7a
  3. 1mo ago First seen · 51 lines · 1,629 tokens per session scan A 3c90320cffed

Subscribe to this mod's changes

fomo-kernel AGENTS.md is an instructions file published in the GitHub repository atomchung/fomo-kernel (9 stars, last pushed 24d ago), licensed MIT. It adds 1,668 tokens to every session, about $0.0067 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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