Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/tsunamayo7/helix-pilot/agents-mdgit clone --depth 1 https://github.com/tsunamayo7/helix-pilotWhat 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 | $0.00700 | $0.00700 |
| Opus 5 | $0.00350 | $0.00350 |
| Sonnet 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 2d 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.
- 2d 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 (4 stars, last pushed 4mo ago), licensed MIT. It adds 700 tokens to every session, about $0.0035 per session on Opus 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
Shinken CLAUDE.md
Instructions for Meirtz/Shinken, covering claude.md — guide for ai coding sessions in this repo, ⛔ the one hard rule: this is a public open-source project, layout, development commands and architecture (how the pieces connect).
gui_agent AGENTS.md
Instructions for leandre755/gui_agent, covering git-context-controller (gcc) protocol, 3.1. .gcc/main.md template, current project context, 🏆 major milestones (archived epics) and 🎯 objective.
agent-computer-use-mcp AGENTS.md
AGENTS.md instructions for astraclawteam/agent-computer-use-mcp, covering agent worker rules, read order, repository purpose, project structure and branch and pr rules.
ExoControl AGENTS.md
AGENTS.md instructions for ImAvgErix/ExoControl, covering exo control — agent instructions (any model, any harness), how you call it, non-negotiable workflow, do / don't and safety hard stops.
gui_agent CLAUDE.md
Instructions for leandre755/gui_agent, covering git-context-controller (gcc) protocol, 3.1. .gcc/main.md template, current project context, 🏆 major milestones (archived epics) and 🎯 objective.
Screenhand CLAUDE.md
Claude Code instructions for manushi4/Screenhand, covering claude.md, project, commands, architecture and key entry points.