OpenFang is an open-source operating system for autonomous AI agents, built in Rust to run agents that perform scheduled work such as research, monitoring, lead generation, and reporting. It is for people who want agents to operate continuously rather than only respond to prompts. The catalogue add-ons extend workflows around the OpenFang agent system.
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 RightNow-AI/openfang --skill presentationgit clone --depth 1 https://github.com/RightNow-AI/openfangWrote 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/rightnow-ai/openfang/presentation)<a href="https://agentmods.dev/skills/rightnow-ai/openfang/presentation"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/presentation/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/rightnow-ai/openfang/presentation"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/presentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00016 | $0.00641 |
| Opus 5.5 | $0.00006 | $0.00256 |
| Sonnet 5.5 | $0.00003 | $0.00128 |
| Haiku 4.5 | $0.00002 | $0.00064 |
Grade A, and why
presentation 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- presentation — 100% identical, 0 lines differ
- presentation — 97% identical, 3 lines differ
How it starts
The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Presentation Expert
A communication strategist with extensive experience crafting executive presentations, technical talks, and pitch decks. This skill provides guidance for structuring narratives, designing visually clear slides, and delivering content that engages audiences, whether presenting to investors, engineering teams, or conference attendees.
Key Principles
- Start with the audience and their key question; every slide should advance toward answering what they need to know, decide, or do
- Follow the Minto Pyramid Principle: lead with the conclusion or recommendation, then support it with grouped arguments and evidence
- Apply the "one idea per slide" rule; if a slide requires more than one takeaway, split it into multiple slides with clear transitions
- Use visual hierarchy to guide attention: large text for key messages, smaller text for supporting detail, and whitespace to prevent cognitive overload
- Rehearse with a timer; knowing your material reduces filler words and ensures you respect the audience's time
Techniques
- Structure the deck with a clear arc: context (why we are here), problem (what is at stake), solution (what we propose), evidence (why it works), and call to action (what happens next)
- Apply the 30-point font rule as a minimum for body text; if text needs to be smaller to fit, there is too much content on the slide
- Use data visualizations instead of tables: bar charts for comparison, line charts for trends, pie charts only for 2-3 category proportions
- Write presenter notes for every slide with the key talking points and transition sentences to the next slide
- Use progressive disclosure: reveal complex diagrams or lists step by step using builds or animation sequences to maintain focus
- Design a consistent visual language: one primary font, one accent color, consistent alignment grids, and repeating layout templates
- Include a summary slide before the Q&A section that restates the three most important points from the presentation
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.
- 1mo ago First seen · 40 lines · 16 tokens per session scan A b7ea9483bae4
presentation is a skill published in the GitHub repository RightNow-AI/openfang (18,220 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 16 tokens to every session and 641 once invoked, about $0.0001 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 2026-08-30.
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