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 fn2ai/fn2-hermes-skill --skill fn2git clone --depth 1 https://github.com/fn2ai/fn2-hermes-skillWrote 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/fn2ai/fn2-hermes-skill/fn2)<a href="https://agentmods.dev/skills/fn2ai/fn2-hermes-skill/fn2"><img src="https://agentmods.dev/badge/skills/fn2ai/fn2-hermes-skill/fn2/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/fn2ai/fn2-hermes-skill/fn2"><img src="https://agentmods.dev/badge/skills/fn2ai/fn2-hermes-skill/fn2.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 26 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.
- medium Excessive Agency · line 74 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00034 | $0.02231 |
| Opus 5 | $0.00017 | $0.01115 |
| Sonnet 5 | $0.00007 | $0.00446 |
| Haiku 4.5 | $0.00003 | $0.00223 |
Grade A, and why
fn2 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 10d 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FN2 — market research & research agents
FN2 is an AI research platform for stocks, markets, and the economy. It answers questions with grounded, sourced analysis (live prices, earnings transcripts, SEC filings, economic data, prediction markets) and lets you run agents that research on a schedule and report back.
This skill talks to FN2 through a small bundled CLI: scripts/fn2 (Python 3
standard library only — nothing to install).
When to use this skill
Use FN2 whenever the user asks about:
- A stock or ticker — price action, "how did NVDA do this week and why", fundamentals
- Earnings, guidance, or what management said on a call
- The market or macro picture — the S&P/Nasdaq, the Fed, inflation, rates, jobs
- Comparing companies, screening, or "what's moving and why"
- Setting up recurring research — a daily market brief, a weekly recap, an earnings-day monitor — delivered automatically
For one-off questions, use research. For anything recurring or that should keep
running on its own, create an agent.
Setup (once)
The CLI authenticates with an API key in the FN2_API_TOKEN environment variable
(FN2_API_KEY still works as an alias).
If the user isn't connected to FN2 yet (no key set), the CLI prints a sign-up link — surface it to them as the next step. Don't try to work around a missing key; getting one is the onboarding:
You'll need a free FN2 account to use this. Create one and grab an API key here (it takes a minute): https://fn2.ai/api-keys?ref=hermes Then run:
export FN2_API_TOKEN=fn2_...
The ?ref=hermes link takes them straight to key creation. Give the key the
chat, agents and models scopes — chat is the one research
needs, and a key without it fails on the most common request. Once they've
exported the key, retry their request.
On a messaging platform, never ask the user to paste their key into the chat —
it would live in the message history. Have them export it where the gateway
runs (for Hermes, ~/.hermes/.env) and then retry.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 200 lines · 34 tokens per session scan A a0d6ae414ea3
fn2 is a skill published in the GitHub repository fn2ai/fn2-hermes-skill (57 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 2,231 once invoked, about $0.0002 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 2026-08-30.
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