Borrowing it
Nothing to install: this file belongs to tsunamayo7/helix-pilot. 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/tsunamayo7/helix-pilot/main/AGENTS.mdgit clone --depth 1 https://github.com/tsunamayo7/helix-pilotWrote 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/tsunamayo7/helix-pilot/agents-md)<a href="https://agentmods.dev/instructions/tsunamayo7/helix-pilot/agents-md"><img src="https://agentmods.dev/badge/instructions/tsunamayo7/helix-pilot/agents-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/tsunamayo7/helix-pilot/agents-md"><img src="https://agentmods.dev/badge/instructions/tsunamayo7/helix-pilot/agents-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 | $0.00700 | $0.00700 |
| Opus 5.5 | $0.00280 | $0.00280 |
| Sonnet 5.5 | $0.00140 | $0.00140 |
| Haiku 4.5 | $0.00070 | $0.00070 |
Grade A, and why
helix-pilot AGENTS.md scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
### HTTP API (for Codex CLI, curl, scripts) How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — helix-pilot
Shared Memory (Mem0)
All AI tools (Claude Code, Codex CLI, Open WebUI, Ollama) share the same Mem0 memory.
Connection Spec (MUST match across all tools)
| Key | Value |
|---|---|
| Qdrant collection | mem0_shared |
| Qdrant URL | http://localhost:6333 |
| Embedding model | bge-m3 (dim=1024, via Ollama) |
| LLM for extraction | ministral-3:8b (via Ollama) |
| Ollama URL | http://localhost:11434 |
| user_id | tsunamayo7 |
| HTTP API (optional) | http://localhost:8080 |
IMPORTANT: Every tool MUST use Qdrant collection
mem0_shared. Do NOT use the default collection namemem0_mcp_selfhosted. When adding a new AI tool, setMEM0_COLLECTION=mem0_sharedexplicitly.
HTTP API (for Codex CLI, curl, scripts)
# Search
curl -s -X POST http://localhost:8080/search \
-H "Content-Type: application/json" \
-d '{"query": "search term"}'
# Add
curl -s -X POST http://localhost:8080/add \
-H "Content-Type: application/json" \
-d '{"text": "content to save"}'
# List all
curl -s http://localhost:8080/list
MCP (for Claude Code)
Claude Code uses mem0_mcp_bridge.py via stdio, proxying to localhost:8080.
Tools: search_memories, add_memory, get_memories.
Browser Use CLI 2.0
Web ブラウザ自動操作ツール。全 AI ツールから利用可能。
Global Install
C:\Users\tomot\.local\bin\browser-use.exe
MCP (for Claude Code)
browser-use --mcp (stdio) で .claude.json に登録済み。
CLI (for Codex CLI, scripts)
browser-use open https://example.com
browser-use state # ページ状態取得
browser-use click 5 # 要素クリック
browser-use input 3 "text" # テキスト入力
browser-use screenshot out.png
browser-use extract "Get all product names"
Python (for Ollama)
from browser_use import Agent
from browser_use import ChatOllama
llm = ChatOllama(model="gemma3:27b")
agent = Agent("search for helix-pilot on GitHub", llm=llm)
agent.run_sync()
Rules
- Search for related memories at session start
- Save important decisions when user says "remember" or "save this"
- Do not save routine Q&A
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.
- 1mo ago First seen · 93 lines · 700 tokens per session scan A 941d62d46dd1
helix-pilot AGENTS.md is an instructions file published in the GitHub repository tsunamayo7/helix-pilot (5 stars, last pushed 6mo ago), licensed MIT. It adds 700 tokens to every session, about $0.0028 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.