Pomera-AI-Commander: Instructions file for Gemini CLI

GEMINI.md

Pomera-AI-Commander GEMINI.md is an instructions file for Gemini CLI from matbanik/Pomera-AI-Commander. It costs 3,113 tokens per session, scanned A, original, MIT.

A set of instructions for the Pomera-AI-Commander project that guides an agent's communication, safety rules, workflows, and use of supporting servers.

In plain words
What is it for?
Use it when working in Pomera-AI-Commander to follow its project rules, start new-user workflows, search, record sessions, and manage backups.
Why use it?
It gives the agent consistent rules for summarising requests, handling risky changes, making backups, and preparing work before delivery.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions AGENTS.md.

This is matbanik/Pomera-AI-Commander's own configuration. It tells Gemini CLI how to work on Pomera-AI-Commander 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 Pomera-AI-Commander configures →

Reuse

Borrowing it

Nothing to install: this file belongs to matbanik/Pomera-AI-Commander. 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/matbanik/Pomera-AI-Commander/master/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/matbanik/Pomera-AI-Commander

Made for: Gemini CLI.

Wrote this? Show the measurements

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README.md
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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.

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Per session 3,113 This file is loaded in full into every session.
When invoked 3,113 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 $0.03113 $0.03113
Opus 5 $0.01556 $0.01556
Sonnet 5 $0.00623 $0.00623
Haiku 4.5 $0.00311 $0.00311

Measured 10d ago against content hash a0a6f8d8c5db, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

Pomera-AI-Commander 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 10d 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 · 417 lines

How it starts

The opening of the file, as written. The whole thing — 417 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

AI guidance for maximizing work efficiency. Detailed workflows via /workflow-name.


User Rules

Communication Style

  • Always summarize the user's request before acting
  • Ask clarifying questions if requirements are ambiguous
  • Confirm before making destructive changes (file deletions, major refactors)
  • Follow the re-prompting protocol so user has a chance to adjust their request

Critical Rules

  1. Never delete without user request + pomera backup
  2. Never push without user confirmation
  3. Backup before large modifications (>50% of file)
  4. Prefer native tools over shell when available
  5. Log sessions to pomera after significant work
  6. Meta-review artifacts before finalizing (task.md, implementation plans, walkthroughs)

Getting Started (New Users)

  1. First prompt: Just ask your question - AI will guide you
  2. Workflows: Type /mcp-workflows to see available workflows
  3. Search: AI uses mcp_pomera_web_search (Tavily default, 5 engines available)
  4. Backups: AI will remind you before risky operations
  5. Memory: Sessions logged to Pomera for continuity

MCP Servers

Server Purpose When to Enable
backup File/folder backup with versioning Risky operations, refactoring
pomera Text tools, notes, session memory, web search Always (default)
text-editor Hash-based conflict-detected edits Complex multi-file edits
sequential-thinking Step-by-step problem analysis Complex planning, debugging

Toggle servers: npx mcpick


Available Workflows

Command Purpose
/ai-model-update-workflow Update AI model defaults in releases
/dependency-workflow Manage dependencies, check updates, security
/documentation-workflow Post-implementation documentation
/mcp-workflow MCP server/tool development
/meta-review Workflow document review
/pomera-notes-workflow Pomera notes for backup/memory
/test-workflow Testing: tools, widgets, MCP, advanced methods
/token-renewal Rotate CI/CD tokens (npm, MCP Registry)
/tool-workflow Develop Tools (BaseTool V2)
/version-bump-workflow Version management, GitHub releases
/widget-workflow Develop Widgets (standalone components)

Read the full file on GitHub · 417 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. 10d ago First seen · 417 lines · 3,113 tokens per session scan A a0a6f8d8c5db

Subscribe to this mod's changes

Pomera-AI-Commander GEMINI.md is an instructions file published in the GitHub repository matbanik/Pomera-AI-Commander (3 stars, last pushed 3mo ago), licensed MIT. It adds 3,113 tokens to every session, about $0.0156 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 2026-08-31.

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