What is ai-asset-pricing GEMINI.md?

Repository instructions for the Gemini command-line coding agent in a financial research project. They describe Gemini-specific setup and point to shared project instructions for charts, figures, and domain guidance.

Use them when onboarding the project with Gemini, reading its skills, or creating financial charts, publication figures, validation galleries, or Word proof packs.

They give Gemini the project’s expected startup process and help it follow existing tools and style instead of inventing its own workflow.

How Alexander-M-Dickerson/ai-asset-pricing configures Gemini CLI

Reuse

Borrowing it

Nothing to install: this file belongs to Alexander-M-Dickerson/ai-asset-pricing. 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/Alexander-M-Dickerson/ai-asset-pricing/main/GEMINI.md

Clone the repo

git clone --depth 1 https://github.com/Alexander-M-Dickerson/ai-asset-pricing

Made for: Gemini CLI.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/alexander-m-dickerson/ai-asset-pricing/gemini-md/github.svg)](https://agentmods.dev/instructions/alexander-m-dickerson/ai-asset-pricing/gemini-md)

Your own site

<a href="https://agentmods.dev/instructions/alexander-m-dickerson/ai-asset-pricing/gemini-md"><img src="https://agentmods.dev/badge/instructions/alexander-m-dickerson/ai-asset-pricing/gemini-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/alexander-m-dickerson/ai-asset-pricing/gemini-md"><img src="https://agentmods.dev/badge/instructions/alexander-m-dickerson/ai-asset-pricing/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 517 This file is loaded in full into every session.

When invoked 517 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.

Model	Per session	Once invoked
Fable 5.1	$0.00517	$0.00517
Opus 5	$0.00259	$0.00259
Sonnet 5	$0.00103	$0.00103
Haiku 4.5	$0.00052	$0.00052

Measured 11d ago against content hash 31fbcc42dd56, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ai-asset-pricing GEMINI.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 11d 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.

GEMINI.md · 37 lines

How it starts

The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gemini CLI Adapter

This file is auto-loaded by Gemini CLI. It imports the shared routing layer and adds Gemini-specific notes.

@AGENTS.md

Gemini-Specific Notes

Onboarding: ask Gemini CLI to onboard or set up the repo in chat. Under the hood it should use the same cold-start flow as Claude /onboard and Codex: tools/onboard.ps1 or tools/onboard.sh to get Python 3.11+, then tools/onboard_driver.py, then tools/bootstrap.py audit, the emitted bootstrap plan, and tools/bootstrap.py apply. WRDS is optional and should only be configured if the user has an account and wants it set up now.
Skills: read .claude/skills/*/SKILL.md files directly. They are plain markdown instructions, not Claude-binary artifacts. Gemini can follow them as-is.
Figures: for charts, FT-style plots, house-style publication plots, validation galleries, or Word proof packs, read docs/ai/figures.md and use fintools.figures before writing custom plotting code. Use style="fins" for the house style and style="ft" for FT-style output; legacy .claude/skills/publication-figures/ helper assets remain available when a standalone helper workflow is explicitly requested.
Domain experts: read .claude/agents/*.md for deep WRDS, CRSP, OptionMetrics, TAQ, bonds, and Fama-French domain context.
Hooks: .claude/hooks/ are Claude Code automation (LaTeX rebuild, pre-commit preflight). Gemini CLI users should run tools/release_preflight.py --strict manually before commits.
Strict preflight auto-cleans repo temp artifacts when possible and tolerates gitignored repo-root local artifacts such as .venv/, .claude/settings.local.json, .tmp-pytest-current/, .tmp-uv-cache/, and .Rhistory; LOCAL_ENV.md and CLAUDE.local.md still block release.
MCP: Perplexity MCP is configured in .claude/settings.json. Gemini users should configure equivalent MCP servers in .gemini/settings.json if needed.
The canonical local state lives outside the repo. See docs/ai/onboarding.md.

Read the full file on GitHub · 37 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.

11d ago First seen · 37 lines · 517 tokens per session scan A 31fbcc42dd56

Subscribe to this mod's changes

ai-asset-pricing GEMINI.md is an instructions file published in the GitHub repository Alexander-M-Dickerson/ai-asset-pricing (59 stars, last pushed 4mo ago), licensed MIT. It adds 517 tokens to every session, about $0.0026 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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