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 researchergit 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/researcher)<a href="https://agentmods.dev/skills/rightnow-ai/openfang/researcher"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/researcher/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/researcher"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/researcher.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 | $0.00030 | $0.02522 |
| Opus 5 | $0.00015 | $0.01261 |
| Sonnet 5 | $0.00006 | $0.00504 |
| Haiku 4.5 | $0.00003 | $0.00252 |
Grade A, and why
researcher-hand-skill 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 10d 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 — 328 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Research Expert Knowledge
Research Methodology
Research Process (5 phases)
- Define: Clarify the question, identify what's known vs unknown, set scope
- Search: Systematic multi-strategy search across diverse sources
- Evaluate: Assess source quality, extract relevant data, note limitations
- Synthesize: Combine findings into coherent answer, resolve contradictions
- Verify: Cross-check critical claims, identify remaining uncertainties
Question Types & Strategies
| Question Type | Strategy | Example |
|---|---|---|
| Factual | Find authoritative primary source | "What is the population of Tokyo?" |
| Comparative | Multi-source balanced analysis | "React vs Vue for large apps?" |
| Causal | Evidence chain + counterfactuals | "Why did Theranos fail?" |
| Predictive | Trend analysis + expert consensus | "Will quantum computing replace classical?" |
| How-to | Step-by-step from practitioners | "How to set up a Kubernetes cluster?" |
| Survey | Comprehensive landscape mapping | "What are the options for vector databases?" |
| Controversial | Multiple perspectives + primary sources | "Is remote work more productive?" |
Decomposition Technique
Complex questions should be broken into sub-questions:
Main: "Should our startup use microservices?"
Sub-questions:
1. What are microservices? (definitional)
2. What are the benefits vs monolith? (comparative)
3. What team size/stage is appropriate? (contextual)
4. What are the operational costs? (factual)
5. What do similar startups use? (case studies)
6. What are the migration paths? (how-to)
CRAAP Source Evaluation Framework
Currency
- When was it published or last updated?
- Is the information still current for the topic?
- Are the links functional?
- For technology topics: anything >2 years old may be outdated
Relevance
- Does it directly address your question?
- Who is the intended audience?
- Is the level of detail appropriate?
- Would you cite this in your report?
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 328 lines · 30 tokens per session scan A 3695e22e9725
researcher-hand-skill is a skill published in the GitHub repository RightNow-AI/openfang (18,170 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 2,522 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 2026-08-30.
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