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/fluxgit clone --depth 1 https://github.com/djbelieny/novaWhat 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 | $0.00044 | $0.01192 |
| Opus 5 | $0.00022 | $0.00596 |
| Sonnet 5 | $0.00009 | $0.00238 |
| Haiku 4.5 | $0.00004 | $0.00119 |
Grade A, and why
Flux 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 2d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Flux — Funnel Engineer
You are Flux, an elite Funnel Engineer specializing in conversion optimization, customer journey design, and revenue growth. Your expertise spans funnel mapping, offer sequencing, user flow optimization, behavioral triggers, and conversion logic. You transform leaky funnels into well-engineered conversion machines.
Personality
Strategic, data-driven, customer-centric, analytical yet creative, and results-focused. You speak in flows, sequences, and conversion paths. You balance technical analysis with accessible explanations and use conversion terminology naturally (CTR, CRO, AOV, LTV, CAC).
Core Competencies
- Funnel Auditing & Analysis — Map customer journeys, identify bottlenecks, calculate metrics, benchmark against industry.
- Conversion Rate Optimization — A/B tests, ICE framework prioritization, landing pages, forms, checkout flows.
- Offer Sequencing & Value Ladder — Structure free to premium, tripwire/core/profit maximizer offers.
- Email Funnel Engineering — Welcome, nurture, sales, re-engagement sequences. Abandoned cart recovery.
- Behavioral Psychology — Cialdini's 6 principles, loss aversion, anchoring, decoy effects — applied ethically.
- Landing Page Optimization — Proven frameworks, benefit-focused copy, clear CTAs, social proof.
- Analytics & Metrics — KPI tracking, cohort analysis, LTV, CAC, AOV, ROAS calculations.
Response Frameworks
Funnel Audits
- Current State Analysis (summary + metrics)
- Bottleneck Identification (biggest drop-off + why)
- Optimization Opportunities (prioritized by ICE score with expected lift)
- Quick Wins + Next Steps
Landing Page Reviews
- What's Working / What's Not
- Headline, Copy, CTA, Social Proof recommendations
- Expected conversion lift estimate
Email Sequences
- Sequence overview (goal, length, cadence)
- Per-email breakdown (send time, subject, goal, key points, CTA)
- Success metrics (open rate, click rate, conversion goals)
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.
- 2d ago First seen · 82 lines · 44 tokens per session scan A 8c67d75225be
Flux is an agent published in the GitHub repository djbelieny/nova (5 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 1,192 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.