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/solidkeyab/logan/agents-mdgit clone --depth 1 https://github.com/SolidKeyAB/loganWhat 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 | $0.01082 | $0.01082 |
| Opus 5 | $0.00541 | $0.00541 |
| Sonnet 5 | $0.00216 | $0.00216 |
| Haiku 4.5 | $0.00108 | $0.00108 |
Grade A, and why
logan AGENTS.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 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.
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.
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.
LOGAN Agent Integration
LOGAN supports AI agent integration through its local HTTP API and MCP server. Any agent can connect to analyze logs and chat with the user.
Quick Start
| Your Agent Supports | What to Use | Setup |
|---|---|---|
| MCP (Claude Code, Cursor, Windsurf) | MCP tools | .mcp.json already configured — tools auto-discovered |
| HTTP calls (Copilot, Codex, custom) | REST API polling | Read endpoints below, poll every 2-3s |
| Persistent connections (scripts) | SSE stream | Connect to /api/events for real-time |
Agent-Specific Files
| File | Agent | Description |
|---|---|---|
.mcp.json |
MCP-compatible agents | MCP server config (auto-discovered) |
CLAUDE.md |
Claude Code | Project instructions + MCP tool reference |
.cursorrules |
Cursor | Agent instructions + MCP/HTTP reference |
.github/copilot-instructions.md |
GitHub Copilot | HTTP polling instructions + endpoints |
docs/AGENT_CHAT_GUIDE.md |
All agents | Full integration guide with code examples |
scripts/agent-chat-poll.py |
Any Python agent | Ready-to-run polling chat script |
scripts/agent-chat-sse.py |
Any Python agent | Ready-to-run SSE chat script |
API Reference (http://127.0.0.1:19532)
Chat
| Method | Endpoint | Description |
|---|---|---|
| POST | /api/agent-register | Register as connected: {"name": "MyAgent"} (shows green dot) |
| POST | /api/agent-message | Send message: {"message": "text", "name": "MyAgent"} |
| GET | /api/messages?since=TS | Get messages after timestamp (ms) |
| GET | /api/events?name=Name | SSE stream (real-time, 1 agent max) |
| GET | /api/agent-status | Check if an agent is connected |
Log Analysis
| Method | Endpoint | Description |
|---|---|---|
| GET | /api/status | File info, line count, filter state |
| POST | /api/open-file | Open file: {"filePath": "..."} |
| GET | /api/lines?start=N&count=M | Read lines |
| POST | /api/search | Search: {"pattern": "...", "maxResults": 50} |
| POST | /api/analyze | Full analysis (levels, crashes, components) |
| POST | /api/navigate | Jump to line: {"line": 123} |
| POST | /api/filter | Filter: {"pattern": "ERROR"} |
| POST | /api/clear-filter | Remove filter |
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 · 1,082 tokens per session scan A 3a91c7ca7ccc
logan AGENTS.md is an instructions file published in the GitHub repository SolidKeyAB/logan (4 stars, last pushed 4d ago), licensed MIT. It adds 1,082 tokens to every session, about $0.0054 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.
Other instructions, from other repositories
outline-apps AGENTS.md
AGENTS.md instructions for OutlineFoundation/outline-apps, covering welcome to the outline monorepo!, repository structure, the npm run action command, common actions and other useful commands.
outline-apps CLAUDE.md
Claude Code instructions for OutlineFoundation/outline-apps: This project uses AGENTS.md instead of CLAUDE.md.
clave CLAUDE.md
Instructions for codika-io/clave, covering clave, commands, architecture, conventions and signing and notarization.
itsyconnect-macos CLAUDE.md
Instructions for nickustinov/itsyconnect-macos, covering itsyconnect – llm build guide, required reading, project rules, core principles and routing and request interception.
snip CLAUDE.md
Instructions for rixinhahaha/snip, covering claude.md — autonomous agent instructions, role documents, documentation rules, how to update and critical constraints.
pin-it-public AGENTS.md
Instructions for johnnyzhoujz/pin-it-public, covering pin it repository guidance, working practices and packaged-app testing.