Hermes Agent is an AI assistant that learns from its use by creating and improving skills, retaining knowledge, searching past conversations, and adapting to its users. It is for people who want to run an agent through a terminal or messaging platforms while connecting it to different AI models and scheduled tasks.
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 skills add NousResearch/hermes-agent --skill product-price-monitorgit clone --depth 1 https://github.com/NousResearch/hermes-agentWrote 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/skills/nousresearch/hermes-agent/product-price-monitor)<a href="https://agentmods.dev/skills/nousresearch/hermes-agent/product-price-monitor"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/product-price-monitor/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/skills/nousresearch/hermes-agent/product-price-monitor"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/product-price-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 40 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00017 | $0.00944 |
| Opus 5 | $0.00009 | $0.00472 |
| Sonnet 5 | $0.00003 | $0.00189 |
| Haiku 4.5 | $0.00002 | $0.00094 |
Grade A, and why
product-price-monitor 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 9d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- product-price-monitor — 100% identical, 0 lines differ
- product-price-monitor — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Price Monitor
Monitor a concrete purchasable item and alert on a normalized all-in price or availability condition. Handle variants, taxes, fees, currencies, stock, cancellation terms, and duplicate alerts explicitly. Setup runs once in the foreground; the recurring check runs as a cronjob tick (the price-watch automation blueprint scaffolds this).
When to Use
- "Alert me when this laptop drops below $1,000."
- "Watch these flights for a fare under $500."
- "Tell me when this hotel has a refundable room."
- "Track ticket/listing availability."
- A cron tick fires for an existing price watch (steps 4-6).
Don't use for: one-off "what does this cost right now" lookups (use web_search/web_extract directly).
Procedure — Setup (foreground, once)
1. Define the exact item
Record source URL/provider, product/listing ID where available, variant, quantity, location, dates, travelers/guests, membership/login assumptions, condition, seller, and acceptable substitutes. Done when two variants cannot be confused.
2. Define the alert condition
Specify currency, all-in vs pre-tax price, maximum price, availability/stock rule, shipping, refundability, cabin/room/ticket class, cooldown, and notification destination. Done when synthetic examples have deterministic alert decisions.
3. Establish a live baseline, then schedule
Fetch a bounded live result with web_extract or browser_navigate and record retrieval time, source price, fees/taxes, availability, and terms. Do not schedule until one foreground fetch works. Write the watch contract (item, condition, baseline observation) to a state file under ~/.hermes/price-watches/<watch-slug>.json, then create the job:
cronjob(action="create",
schedule="every 6h",
prompt="Load the product-price-monitor skill and run the tick for the watch contract at ~/.hermes/price-watches/<watch-slug>.json.",
deliver=<user's destination>)
Pick a cadence that respects rate limits and site terms. Done when the baseline matches the exact item contract and the job exists.
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.
- 9d ago First seen · 80 lines · 17 tokens per session scan A b87bf2102fed
product-price-monitor is a skill published in the GitHub repository NousResearch/hermes-agent (244,603 stars, last pushed today), licensed MIT. It adds 17 tokens to every session and 944 once invoked, about $0.0001 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 2026-09-03.
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