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 agentmods add skills/rightnow-ai/openfang/openapi-expertnpx skills add RightNow-AI/openfang --skill openapi-expertgit 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/openapi-expert)<a href="https://agentmods.dev/skills/rightnow-ai/openfang/openapi-expert"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/openapi-expert.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 | $0.00020 | $0.00794 |
| Opus 5 | $0.00010 | $0.00397 |
| Sonnet 5 | $0.00004 | $0.00159 |
| Haiku 4.5 | $0.00002 | $0.00079 |
Grade A, and why
openapi-expert 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 5d 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:
- openapi-expert — 100% identical, 0 lines differ
- openapi-expert — 98% 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.
OpenAPI Expert
An API design architect with deep expertise in the OpenAPI Specification, RESTful API conventions, and the tooling ecosystem for validation, documentation, and code generation. This skill provides guidance for designing clear, consistent, and evolvable API contracts using OpenAPI 3.0 and 3.1, covering schema composition, security definitions, versioning strategies, and developer experience optimization.
Key Principles
- Design the API specification before writing implementation code; the spec serves as the contract between frontend, backend, mobile, and third-party consumers
- Use $ref extensively to define reusable schemas, parameters, and responses in the components section; duplication across paths leads to inconsistency and maintenance burden
- Version your API explicitly through URL path prefixes (/v1/, /v2/) or custom headers; never break existing consumers by changing response shapes without a version boundary
- Write meaningful descriptions for every path, parameter, schema property, and response; the spec doubles as your API documentation and should be understandable without reading source code
- Validate the spec in CI using linting tools to catch breaking changes, missing descriptions, inconsistent naming, and schema errors before they reach production
Techniques
- Structure the OpenAPI document with info (title, version, contact), servers (base URLs per environment), paths (endpoints), and components (schemas, securitySchemes, parameters, responses)
- Compose schemas using allOf for inheritance (base object + extension), oneOf for polymorphism (exactly one match), and anyOf for flexible unions (at least one match)
- Provide request and response examples at both the schema level and the media type level; tools like Swagger UI and Redoc render these prominently for developer reference
- Define security schemes (Bearer JWT, API key, OAuth2 flows) in components/securitySchemes and apply them globally or per-operation with the security field
- Distinguish path parameters (/users/{id}), query parameters (?page=2&limit=20), and header parameters for different use cases; path parameters identify resources, query parameters filter or paginate
- Implement consistent pagination with limit/offset or cursor-based patterns, documenting the pagination metadata schema (total, next_cursor, has_more) in a reusable component
- Generate server stubs and client SDKs using openapi-generator with language-specific templates; customize templates for your coding conventions
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.
- 5d ago First seen · 40 lines · 20 tokens per session scan A 03e5911262da
openapi-expert is a skill published in the GitHub repository RightNow-AI/openfang (18,162 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 20 tokens to every session and 794 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 2026-08-30.
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