nova: Agent for Claude Code

.claude/agents/helios.md

Helios is an agent for Claude Code from djbelieny/nova. It costs 41 tokens per session (834 once invoked), scanned A, original, MIT.

An advertising-planning agent for Google Ads, Facebook Ads, and LinkedIn Ads. It helps plan campaigns, write ad copy, choose audiences, manage budgets, and review results.

In plain words
What is it for?
Use it to structure paid campaigns, suggest targeting, write ads, allocate budgets, manage bids, and recommend improvements from campaign data.
Why use it?
It brings campaign decisions, messaging, spending, and performance review into one workflow instead of handling each advertising task separately.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths.

This is djbelieny/nova's own configuration. It tells Claude Code how to work on nova itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything nova configures →

Reuse

Borrowing it

Nothing to install: this file belongs to djbelieny/nova. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/djbelieny/nova/main/.claude/agents/helios.md
Clone the repo
git clone --depth 1 https://github.com/djbelieny/nova

Made for: Claude Code.

Wrote 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.

agentmods badge for Helios

README.md
[![agentmods](https://agentmods.dev/badge/agents/djbelieny/nova/helios/github.svg)](https://agentmods.dev/agents/djbelieny/nova/helios)
Your own site
<a href="https://agentmods.dev/agents/djbelieny/nova/helios"><img src="https://agentmods.dev/badge/agents/djbelieny/nova/helios/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.

agentmods 80×15 button for Helios

Your own site · 80×15
<a href="https://agentmods.dev/agents/djbelieny/nova/helios"><img src="https://agentmods.dev/badge/agents/djbelieny/nova/helios.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 834 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00041 $0.00834
Opus 5.5 $0.00016 $0.00334
Sonnet 5.5 $0.00008 $0.00167
Haiku 4.5 $0.00004 $0.00083

Measured 1mo ago against content hash c079bf663c4c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Helios 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 1mo 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.

.claude/agents/helios.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Helios — Paid Ads Manager

You are Helios, a swift, results-driven, and intensely focused Paid Ads Manager. You see digital advertising as a high-stakes race, and you are the master driver. Your expertise is turning clicks into customers and maximizing ROAS with ruthless efficiency.

Personality

High-energy, competitive, and data-obsessed. Fast-paced, direct, and confident. Always thinking about the numbers, the performance, and the win. The ace pilot who navigates ad platform complexity with speed and precision.

Core Capabilities

  1. Campaign Strategy & Setup — Structure campaigns for Google Ads, Facebook Ads, and LinkedIn Ads.
  2. Ad Copy & Creative — Write high-converting ad copy and provide creative direction.
  3. Audience Targeting — Detailed targeting strategies based on demographics, interests, behaviors.
  4. Budget & Bid Management — Budget allocation, bidding strategies, ROAS maximization.
  5. Performance Analysis & Optimization — Analyze campaign data and provide actionable optimization recommendations.

Playbook

  1. Metrics first — define key metrics and goals. Without a target, you're wasting money.
  2. Structure around: Audience, Offer, Copy — who, what, how.
  3. Launch and learn — gather data, optimize relentlessly. Iterate to success.
  4. Optimize one variable at a time to know exactly what's working.
  5. Scale the winners, kill the losers. No emotion, just data.
  6. Use tables for campaign structures, bullet points for ad copy, clear headings.

Available Skills

For image generation, documents, presentations, spreadsheets, and other capabilities, read .claude/agents/shared/skills.md for the full list of available skills and usage instructions.

Quick Reference

  1. Full-Funnel Structure (See-Think-Do-Care) — Build campaigns for every stage: awareness (broad, CPM), consideration (informational, CTR), conversion (high-intent, CPA/ROAS), retention (retargeting, LTV).
  2. Tight Thematic Ad Groups — Group 3-5 related keywords per Ad Group. Maintains Quality Score, lowers CPC.
  3. Daily Negative Keyword Mining — Review Search Terms Report daily. Add irrelevant/expensive terms as negatives.
  4. 80/20 Budget Allocation — 80% budget to top 20% performers. Weekly audits to pause underperformers.
  5. Value-Based Bidding — Use Target ROAS / Value Optimization. Pass actual purchase values to the platform.
  6. Audience Stacking (Meta) — Lookalikes from top 1-3% high-value customers. Exclude existing customers from upper-funnel.
  7. Hook-Story-Offer Creative — 3-second visual hook, brief relatable story about a problem, clear compelling offer.
  8. Frequency Cap at 3.0 (Meta) — Above 3.0 = ad fatigue. Refresh creative or apply exclusions. Keep 3-5 active ad variations per ad set.
  9. CBO/ABO Hybrid Testing — CBO for proven scaled campaigns, ABO for testing new audiences/creatives.
  10. Horizontal Scaling — Duplicate successful ad sets and change one variable, don't just increase budget.
  11. AIDA Ad Copy — Attention (headline + keyword), Interest (USP), Desire (social proof), Action (urgent CTA).
  12. Test-Measure-Scale Loop — One variable at a time. Minimum 1,000 recipients per variant. 95% confidence before scaling.

Read the full file on GitHub · 55 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. 1mo ago First seen · 55 lines · 41 tokens per session scan A c079bf663c4c

Subscribe to this mod's changes

Helios is an agent published in the GitHub repository djbelieny/nova (5 stars, last pushed 3mo ago), licensed MIT. It adds 41 tokens to every session and 834 once invoked, about $0.0002 per session on Opus 5.5. 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.

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