Borrowing it
Nothing to install: this file belongs to harun-yardimci/agentflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/harun-yardimci/agentflow/main/GEMINI.mdgit clone --depth 1 https://github.com/harun-yardimci/agentflowWrote 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.
[](https://agentmods.dev/instructions/harun-yardimci/agentflow/gemini-md)<a href="https://agentmods.dev/instructions/harun-yardimci/agentflow/gemini-md"><img src="https://agentmods.dev/badge/instructions/harun-yardimci/agentflow/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.
<a href="https://agentmods.dev/instructions/harun-yardimci/agentflow/gemini-md"><img src="https://agentmods.dev/badge/instructions/harun-yardimci/agentflow/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00378 | $0.00378 |
| Opus 5.5 | $0.00151 | $0.00151 |
| Sonnet 5.5 | $0.00076 | $0.00076 |
| Haiku 4.5 | $0.00038 | $0.00038 |
Grade A, and why
agentflow 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.
What it actually says
AgentFlow — Project Context for Gemini CLI
What is this project?
AgentFlow is an AI agent orchestration platform. It runs multi-step pipelines where each task is executed by a CLI coding agent (Claude Code, Codex CLI, or Gemini CLI). It has a React dashboard for monitoring and an MCP server for programmatic control.
Commands
npm run dev— Start frontend + backend with hot reload (port 3100)npm test— Run tests with vitestnpm run lint— ESLintnpm run build— Build frontend
Tech Stack
- Frontend: React 19, TypeScript (strict mode), Tailwind CSS v4, Vite 7
- Backend: Express 5, better-sqlite3, Zod validation
- MCP: @modelcontextprotocol/sdk (stdio + SSE)
- Database: SQLite (
data/agentflow.db, gitignored)
Structure
src/— React frontend (components, context, lib, types)server/— Express backend (db, engine, executor, routes, services, safety)mcp/— MCP serverbin/— CLI entry point
Important Rules
- TypeScript strict mode, no
any— useunknown+ type guards - ESM imports only, no CommonJS
require() - 2-space indent, single quotes in TypeScript
- Functional React components only
- Tailwind utility-first CSS, use
cn()for conditional classes - Commit format:
type(scope): description - Port 3100 is the default backend port
- When spawning CLI processes, always close stdin (
proc.stdin.end()) - No geometric unicode characters in UI (IBM Plex Mono doesn't render them)
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.
- 2mo ago First seen · 39 lines · 378 tokens per session scan A 82520cc9305a
agentflow GEMINI.md is an instructions file published in the GitHub repository harun-yardimci/agentflow (9 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 378 tokens to every session, about $0.0015 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.
agentflow GEMINI.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agentflow GEMINI.mdharun-yardimci/agentflow | Instructions file | 9 | 1mo ago | Apache-2.0 | A | 378 | Gemini CLI |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |