logan copilot-instructions.md

Instructions for connecting an AI coding assistant to LOGAN, a local Electron application that analyzes log files through an HTTP interface.

In plain words
What is it for?
They help an agent register with LOGAN, inspect file status, communicate in its chat panel, and poll for user messages.
Why use it?
They explain how the assistant can check the open log, send messages to the user, and receive replies through LOGAN.

Instructions file for GitHub Copilot

Install

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.

agentmods
npx agentmods add instructions/solidkeyab/logan/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/SolidKeyAB/logan

Made for: GitHub Copilot.

Per session 872 This file is loaded in full into every session.
When invoked 872 The same file — it is already loaded in full.
Security scan A 1 finding. Scan, not verified.
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 $0.00872 $0.00872
Opus 5 $0.00436 $0.00436
Sonnet 5 $0.00174 $0.00174
Haiku 4.5 $0.00087 $0.00087

Measured 2d ago against content hash 4bab88657bad, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

logan copilot-instructions.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.

import urllib.request, json, time
.github/copilot-instructions.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LOGAN — Copilot Agent Instructions

LOGAN is an Electron log analysis tool running locally with an HTTP API for agent communication.

Connecting to LOGAN

API base: http://127.0.0.1:19532

Check if LOGAN is running and a file is open:

GET /api/status
→ {"success": true, "status": {"filePath": "...", "totalLines": 14957, ...}}

Chat with the User

LOGAN has a Chat panel where the user can see your messages and reply.

Register as connected (shows green dot in LOGAN, call once on start):

POST /api/agent-register
Content-Type: application/json
{"name": "Copilot"}

Send a message (also refreshes your connected status):

POST /api/agent-message
Content-Type: application/json
{"message": "Hello from Copilot!", "name": "Copilot"}

Poll for user replies (every 2-3 seconds):

GET /api/messages?since=<timestamp_ms>
→ {"messages": [{"from": "user", "text": "hi!", "timestamp": 1234567890}]}

Filter for "from": "user" messages only (ignore your own "from": "agent" messages).

Chat Loop (Python)

import urllib.request, json, time

API = "http://127.0.0.1:19532"
last_ts = int(time.time() * 1000)

def send(text):
    data = json.dumps({"message": text}).encode()
    req = urllib.request.Request(f"{API}/api/agent-message", data=data,
        headers={"Content-Type": "application/json"}, method="POST")
    urllib.request.urlopen(req)

def poll(since):
    req = urllib.request.Request(f"{API}/api/messages?since={since}")
    resp = urllib.request.urlopen(req)
    return [m for m in json.loads(resp.read()).get("messages", []) if m["from"] == "user"]

send("Hello! I'm connected to LOGAN.")
while True:
    time.sleep(2)
    for msg in poll(last_ts):
        last_ts = msg["timestamp"]
        if "goodbye" in msg["text"].lower():
            send("Goodbye!")
            exit()
        send(f"Got it: {msg['text']}")

Log Analysis Endpoints

Action Method Endpoint Body
Register agent POST /api/agent-register {"name": "Copilot"}
Get status GET /api/status
Open file POST /api/open-file {"filePath": "/path/to/file"}
Get lines GET /api/lines?start=0&count=10
Search POST /api/search {"pattern": "ERROR", "maxResults": 50}
Analyze POST /api/analyze
Navigate POST /api/navigate {"line": 123}
Filter POST /api/filter {"pattern": "ERROR"}
Clear filter POST /api/clear-filter
Bookmarks GET /api/bookmarks
Add bookmark POST /api/add-bookmark {"line": 123, "label": "crash"}
Highlights GET /api/highlights
Add highlight POST /api/add-highlight {"pattern": "ERROR", "color": "#ff0000"}
Time gaps POST /api/time-gaps
Baselines GET /api/baselines

Read the full file on GitHub · 96 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. 2d ago First seen · 96 lines · 872 tokens per session scan A 4bab88657bad

Subscribe to this mod's changes

logan copilot-instructions.md is an instructions file published in the GitHub repository SolidKeyAB/logan (4 stars, last pushed 5d ago), licensed MIT. It adds 872 tokens to every session, about $0.0044 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.