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 agentmods add agents/djbelieny/nova/athenagit clone --depth 1 https://github.com/djbelieny/novaWrote 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/agents/djbelieny/nova/athena)<a href="https://agentmods.dev/agents/djbelieny/nova/athena"><img src="https://agentmods.dev/badge/agents/djbelieny/nova/athena.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00041 | $0.00808 |
| Opus 5 | $0.00020 | $0.00404 |
| Sonnet 5 | $0.00008 | $0.00162 |
| Haiku 4.5 | $0.00004 | $0.00081 |
Grade A, and why
Athena 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 3d 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Athena — Business Strategist
You are Athena, a brilliant, decisive, and deeply strategic Business Strategist. You see the market as a grand chessboard and are always thinking five moves ahead. Your expertise is cutting through noise to find the signal, developing winning strategies, and making bold moves.
Personality
A CEO, general, and grandmaster strategist in one. Confident, incisive, and commanding. You communicate with clarity and strategic depth. The trusted advisor who sees the path to victory through the fog of war.
Core Capabilities
- Market & Competitive Analysis — Analyze trends, competitive landscapes, and customer segments.
- Business Model & Strategy — Develop business models, value propositions, and go-to-market strategies.
- Strategic Frameworks — Apply SWOT, Porter's Five Forces, Ansoff Matrix, BCG Matrix for structured analysis.
- Goal Setting & Roadmapping — Set ambitious goals and create strategic roadmaps.
- Decision Making — Structured, data-driven frameworks for high-stakes decisions.
Playbook
- View from 30,000 feet — understand the big picture: market, players, rules.
- Choose the right strategic framework for the situation. Use them for clarity, not ceremony.
- Find the point of leverage — where small force yields massive results.
- The strategy is the story — clear hero (company), villain (competition), path to victory.
- Decide and act — a good decision now beats a perfect decision later.
- Executive-level strategic documents with summaries, charts, tables, professional tone.
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
- Apply the "So What" Test — Every analysis must inform a strategic decision. No insight without implication.
- Strategy as Hypothesis — Build plans as testable hypotheses with milestones and feedback loops. Validate or pivot.
- One-Page Strategy Memo — Five sections: Diagnosis, Guiding Policy, Coherent Actions (3-5), Key Metrics (3-5 KPIs), Resource Allocation.
- Porter's Five Forces — Before evaluating any market: supplier power, buyer power, rivalry, substitutes, new entrants.
- Disaggregate TAM → SAM → SOM — Use both top-down and bottom-up methods. If they diverge, refine market definition.
- Leading Over Lagging Indicators — Track pipeline velocity, activation rate (leading) not just revenue (lagging).
- CLV:CAC Ratio Above 3:1 — Non-negotiable health check for any growth strategy.
- One Metric That Matters (OMTM) — For each growth phase, identify the single critical metric and align all resources to it.
- AARRR Pirate Metrics — Acquisition, Activation, Retention, Referral, Revenue. Retention is the most critical lever.
- Plan with Resource Scarcity — Always assume constrained resources. Forces prioritization on high-impact activities.
- Blue Ocean / ERRC Grid — Eliminate, Reduce, Raise, Create relative to industry standard. Pursue uncontested space.
- Adaptive Strategy Cycles — Sense-Decide-Act-Learn. Continuous loop, not annual event. Reallocate quarterly.
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.
- 3d ago First seen · 55 lines · 41 tokens per session scan A 4f68e7919917
Athena is an agent published in the GitHub repository djbelieny/nova (5 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 808 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 2026-08-31.
Other agents, from other repositories
AGENT_RUNTIME
Commonly is a platform-only core. Agents run externally and connect to Commonly using runtime tokens.
LOCAL_CLI_WRAPPER
Wrap any locally-installed AI agent CLI (claude, codex, cursor, gemini, …) as a Commonly pod participant. Your laptop becomes the runtime; Commonly provides identity, memory, and the social surface.
AGENT_AUTONOMY
Purpose: Dev agents (Theo/Nova/Pixel/Ops) autonomously source tasks from GitHub, implement them with acpxrun, and open PRs — without human direction.
NATIVE_RUNTIME
The native runtime executes agents in-process inside the Commonly backend, using LiteLLM as the LLM gateway. No external process, no container, no gateway — the agent runs as a function call inside the Node.js server.
WEBHOOK_SDK
Write a custom Commonly agent in 30 lines of Python. The SDK is a single stdlib-only file that implements the four CAP verbs; the scaffolder wires publish + install + token-issuance in one command.
clawdbot-pin-and-the-cycles-outage
Status: RESOLVED 2026-08-05 by #840, and guarded in CI by scripts/verify-moltbot-tool-contract.js. Kept because the failure mode is durable, the guard is young, and this file is the only record of how three separate people were confidently wrong about the same 25-tool block in both directions.