Automate Anything with Cron

mkdir -p ~/.hermes/scripts

import hashlib, json, os, urllib.requestURL = "https://example.com/pricing"STATE_FILE = os.path.expanduser("~/.hermes/scripts/.watch-site-state.json")# Fetch current contentreq = urllib.request.Request(URL, headers={"User-Agent": "Hermes-Monitor/1.0"})content = urllib.request.urlopen(req, timeout=30).read().decode()current_hash = hashlib.sha256(content.encode()).hexdigest()# Load previous stateprev_hash = Noneif os.path.exists(STATE_FILE):    with open(STATE_FILE) as f:        prev_hash = json.load(f).get("hash")# Save current statewith open(STATE_FILE, "w") as f:    json.dump({"hash": current_hash, "url": URL}, f)# Output for the agentif prev_hash and prev_hash != current_hash:    print(f"CHANGE DETECTED on {URL}")    print(f"Previous hash: {prev_hash}")    print(f"Current hash: {current_hash}")    print(f"\nCurrent content (first 2000 chars):\n{content[:2000]}")else:    print("NO_CHANGE")

/cron add "every 1h" "If the script output says CHANGE DETECTED, summarize what changed on the page and why it might matter. If it says NO_CHANGE, respond with just [SILENT]." --script ~/.hermes/scripts/watch-site.py --name "Pricing monitor" --deliver telegram

/cron add "0 9 * * 1" "Generate a weekly report covering:1. Search the web for the top 5 AI news stories from the past week2. Search GitHub for trending repositories in the 'machine-learning' topic3. Check Hacker News for the most discussed AI/ML postsFormat as a clean summary with sections for each source. Include links.Keep it under 500 words — highlight only what matters." --name "Weekly AI digest" --deliver telegram

hermes cron create "0 9 * * 1" \  "Generate a weekly report covering the top AI news, trending ML GitHub repos, and most-discussed HN posts. Format with sections, include links, keep under 500 words." \  --name "Weekly AI digest" \  --deliver telegram

/cron add "every 6h" "Check the GitHub repository NousResearch/hermes-agent for:- New issues opened in the last 6 hours- New PRs opened or merged in the last 6 hours- Any new releasesUse the terminal to run gh commands:  gh issue list --repo NousResearch/hermes-agent --state open --json number,title,author,createdAt --limit 10  gh pr list --repo NousResearch/hermes-agent --state all --json number,title,author,createdAt,mergedAt --limit 10Filter to only items from the last 6 hours. If nothing new, respond with [SILENT].Otherwise, provide a concise summary of the activity." --name "Repo watcher" --deliver discord

import json, os, urllib.requestfrom datetime import datetimeDATA_DIR = os.path.expanduser("~/.hermes/data/prices")os.makedirs(DATA_DIR, exist_ok=True)# Fetch current data (example: crypto prices)url = "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin,ethereum&vs_currencies=usd"data = json.loads(urllib.request.urlopen(url, timeout=30).read())# Append to history fileentry = {"timestamp": datetime.now().isoformat(), "prices": data}history_file = os.path.join(DATA_DIR, "history.jsonl")with open(history_file, "a") as f:    f.write(json.dumps(entry) + "\n")# Load recent history for analysislines = open(history_file).readlines()recent = [json.loads(l) for l in lines[-24:]]  # Last 24 data points# Output for the agentprint(f"Current: BTC=${data['bitcoin']['usd']}, ETH=${data['ethereum']['usd']}")print(f"Data points collected: {len(lines)} total, showing last {len(recent)}")print(f"\nRecent history:")for r in recent[-6:]:    print(f"  {r['timestamp']}: BTC=${r['prices']['bitcoin']['usd']}, ETH=${r['prices']['ethereum']['usd']}")

/cron add "every 1h" "Analyze the price data from the script output. Report:1. Current prices2. Trend direction over the last 6 data points (up/down/flat)3. Any notable movements (>5% change)If prices are flat and nothing notable, respond with [SILENT].If there's a significant move, explain what happened." \  --script ~/.hermes/scripts/collect-prices.py \  --name "Price tracker" \  --deliver telegram

# Use the arxiv skill to find papers, then the obsidian skill to save notes/cron add "0 8 * * *" "Search arXiv for the 3 most interesting papers on 'language model reasoning' from the past day. For each paper, create an Obsidian note with the title, authors, abstract summary, and key contribution." \  --skill arxiv \  --skill obsidian \  --name "Paper digest"

cronjob(    action="create",    skills=["arxiv", "obsidian"],    prompt="Search arXiv for papers on 'language model reasoning' from the past day. Save the top 3 as Obsidian notes.",    schedule="0 8 * * *",    name="Paper digest",    deliver="local")

# List all active jobs/cron list# Trigger a job immediately (for testing)/cron run <job_id># Pause a job without deleting it/cron pause <job_id># Edit a running job's schedule or prompt/cron edit <job_id> --schedule "every 4h"/cron edit <job_id> --prompt "Updated task description"# Add or remove skills from an existing job/cron edit <job_id> --skill arxiv --skill obsidian/cron edit <job_id> --clear-skills# Remove a job permanently/cron remove <job_id>