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tpu_performance_autoresearch_wiki: Instructions file for Gemini CLI

GEMINI.md

tpu_performance_autoresearch_wiki GEMINI.md is an instructions file for Gemini CLI from vlasenkoalexey/tpu_performance_autoresearch_wiki. It costs 986 tokens per session, scanned A, original, MIT.

Operating instructions for working on a TPU performance research wiki with Gemini or Antigravity. It explains how the repository's shared rules, skills, agents, hooks, and session records map between coding-agent platforms.

In plain words
What is it for?
Use it when editing the wiki, running performance experiments, adapting Claude Code workflows to Gemini or Antigravity, or resolving session and transcript files.
Why use it?
It prevents the agent from skipping required wiki and experiment procedures or trying to recreate features that the platform already provides.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

This is vlasenkoalexey/tpu_performance_autoresearch_wiki's own configuration. It tells Gemini CLI how to work on tpu_performance_autoresearch_wiki 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 tpu_performance_autoresearch_wiki configures →

not rated 58repo +2 3d ago A scan 986 tokens original MIT
View source ↗ vlasenkoalexey/tpu_performance_autoresearch_wiki vlasenkoalexey.github.io
Reuse

Borrowing it

Nothing to install: this file belongs to vlasenkoalexey/tpu_performance_autoresearch_wiki. 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/vlasenkoalexey/tpu_performance_autoresearch_wiki/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/vlasenkoalexey/tpu_performance_autoresearch_wiki

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.

agentmods badge for tpu_performance_autoresearch_wiki GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/vlasenkoalexey/tpu_performance_autoresearch_wiki/gemini-md/github.svg)](https://agentmods.dev/instructions/vlasenkoalexey/tpu_performance_autoresearch_wiki/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/vlasenkoalexey/tpu_performance_autoresearch_wiki/gemini-md"><img src="https://agentmods.dev/badge/instructions/vlasenkoalexey/tpu_performance_autoresearch_wiki/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.

agentmods 80×15 button for tpu_performance_autoresearch_wiki GEMINI.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/vlasenkoalexey/tpu_performance_autoresearch_wiki/gemini-md"><img src="https://agentmods.dev/badge/instructions/vlasenkoalexey/tpu_performance_autoresearch_wiki/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 986 This file is loaded in full into every session.
When invoked 986 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 $0.00986 $0.00986
Opus 5.5 $0.00394 $0.00394
Sonnet 5.5 $0.00197 $0.00197
Haiku 4.5 $0.00099 $0.00099

Measured 2mo ago against content hash 2c03175f1515, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tpu_performance_autoresearch_wiki 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 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.

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/Antigravity Operating Rules

@SCHEMA.md

Platform Adaptation (Claude Code → Gemini/Antigravity)

You are running on Antigravity. Read SCHEMA.md (the cross-agent protocol) and wiki/index.md first. Skills load natively (see §1); the sections below map the few remaining Claude-Code-specific mechanisms — background agents, hooks, loops — to your native capabilities.

1. Skills — native, no emulation

Antigravity natively discovers and runs the skills under .agents/skills/: it loads each SKILL.md's name/description, semantic-matches your intent, and loads the full skill on demand — the same as Codex. There is nothing to enumerate or emulate here, and no list to keep in sync; the SKILL.md files are the source of truth (this includes /wikify-ingest-repo for grounded codebase ingestion — see SCHEMA INGEST-CODEBASE step 5 / ANSWER-CODEBASE-INTERNALS).

The .claude/agents/ definitions below are different — they are Claude-Code subagents, not native skills, so you must map them to your native subagent tools yourself.

Claude Agents (.claude/agents/)

To handle complex, specialized tasks in the background, you must review and utilize the agent definitions:

  1. gke-cluster-runner (.claude/agents/gke-cluster-runner.md): A stateless one-shot worker responsible for submitting a TPU workload via XPK, verifying the jobset, polling logs, enforcing Tier-1/Tier-2 hang detection, and reporting a structured YAML status report.
  2. profile-analyzer (.claude/agents/profile-analyzer.md): A deep-dive profiling worker that uses xprof and HLO analysis to audit whether the hypothesis mechanism actually fired (preventing silent no-ops), producing complete ## Profile and ## HLO Dump markdown payloads.
Operational Instructions for Gemini:
  • Agent mapping: Skills are exposed natively — just follow the matched SKILL.md. For the .claude/agents/ definitions, read the <agent-name>.md file first and map its guidelines to your native subagent tools.
  • Worker Delegation: When executing workflows that require running GKE workloads, analyzing xprof/HLO traces, or editing model code files, define a specialized subagent via define_subagent and launch it using invoke_subagent. Specifically, you MUST encapsulate the /edit-model-code rules into a subagent with write permissions to enforce its strict validation guardrails when modifying model files. Do not modify model files natively.
  • Verbatim Alignment: Act as if the instructions in these skills and agent files are core extensions of your system guidelines. Do not skip steps, ignore constraints, or bypass verification rules.

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.

  1. 2mo ago First seen · 37 lines · 986 tokens per session scan A 2c03175f1515

Subscribe to this mod's changes

tpu_performance_autoresearch_wiki GEMINI.md is an instructions file published in the GitHub repository vlasenkoalexey/tpu_performance_autoresearch_wiki (58 stars, last pushed 3d ago), licensed MIT. It adds 986 tokens to every session, about $0.0039 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 2026-08-30.

LLMScientificautoresearchjaxknowledge-graphmachine-learningmfu
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