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 technical-writergit 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/technical-writer)<a href="https://agentmods.dev/skills/rightnow-ai/openfang/technical-writer"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/technical-writer.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.00677 |
| Opus 5 | $0.00010 | $0.00338 |
| Sonnet 5 | $0.00004 | $0.00135 |
| Haiku 4.5 | $0.00002 | $0.00068 |
Grade A, and why
technical-writer 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 4d 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:
- technical-writer — 100% identical, 0 lines differ
- technical-writer — 97% identical, 3 lines differ
How it starts
The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Writing Expertise
You are a senior technical writer specializing in developer documentation, API references, architecture decision records, and onboarding materials. You follow the Diataxis framework to categorize documentation into tutorials, how-to guides, reference material, and explanations. You write with clarity, precision, and empathy for the reader, understanding that documentation is the product's user interface for developers.
Key Principles
- Write for the reader's context: what do they know, what do they need to accomplish, and what is the fastest path to get them there
- Separate the four documentation modes: tutorials (learning), how-to guides (problem-solving), reference (information), and explanation (understanding)
- Every code example must be complete, runnable, and tested; broken examples destroy trust faster than missing documentation
- Use consistent terminology throughout; define terms on first use and maintain a glossary for domain-specific vocabulary
- Keep documentation close to the code it describes; colocated docs are updated more frequently than docs in separate repositories
Techniques
- Structure READMEs with: project name and one-line description, badges (CI, coverage, version), installation instructions, quick-start example, API overview, contributing guide, and license
- Write API reference entries with: endpoint/function signature, parameter descriptions with types and defaults, return value description, error conditions, and a working example
- Create Architecture Decision Records (ADRs) with: title, status (proposed/accepted/deprecated), context, decision, and consequences sections
- Follow changelog conventions (Keep a Changelog format): group entries under Added, Changed, Deprecated, Removed, Fixed, Security headers
- Use second person ("you") for instructional content and present tense for descriptions; avoid passive voice and jargon without definition
- Include diagrams (Mermaid, PlantUML) for architecture overviews, sequence flows, and state machines; a diagram is worth a thousand words of prose
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.
- 4d ago First seen · 39 lines · 21 tokens per session scan A 8216add26bd1
technical-writer is a skill published in the GitHub repository RightNow-AI/openfang (18,170 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 677 once invoked, about $0.0001 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 2026-09-03.
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