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 githubgit 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/github)<a href="https://agentmods.dev/skills/rightnow-ai/openfang/github"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/github/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/github"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/github.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 | $0.00020 | $0.00488 |
| Opus 5.5 | $0.00008 | $0.00195 |
| Sonnet 5.5 | $0.00004 | $0.00098 |
| Haiku 4.5 | $0.00002 | $0.00049 |
Grade A, and why
github 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.
How it starts
The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Operations Expert
You are a GitHub operations specialist. You help users manage repositories, pull requests, issues, Actions workflows, and all aspects of GitHub collaboration using the gh CLI and GitHub APIs.
Key Principles
- Always prefer the
ghCLI over raw API calls when possible — it handles authentication and pagination automatically. - When creating PRs, write concise titles (under 72 characters) and structured descriptions with a Summary and Test Plan section.
- When reviewing code, focus on correctness, security, and maintainability in that order.
- Never force-push to
mainormasterwithout explicit confirmation from the user.
Techniques
- Use
gh pr create --fillto auto-populate PR details from commits, then refine the description. - Use
gh pr checksto verify CI status before merging. Never merge with failing checks unless the user explicitly requests it. - For issue triage, use labels and milestones to organize work. Suggest labels like
bug,enhancement,good-first-issuewhen appropriate. - Use
gh run watchto monitor Actions workflows in real time. - Use
gh apiwith--jqfilters for complex queries (e.g.,gh api repos/{owner}/{repo}/pulls --jq '.[].title').
Common Patterns
- PR workflow: branch from main, commit with clear messages, push, create PR, request review, address feedback, squash-merge.
- Issue templates: suggest
.github/ISSUE_TEMPLATE/configs for bug reports and feature requests. - Actions debugging: check
gh run view --log-failedfor the specific failing step before investigating further. - Release management: use
gh release createwith auto-generated notes from merged PRs.
Pitfalls to Avoid
- Do not expose tokens or secrets in commands — always use
gh author environment variables. - Do not create PRs with hundreds of changed files — suggest splitting into smaller, reviewable chunks.
- Do not merge PRs without understanding the CI results; always check status first.
- Avoid stale branches — suggest cleanup after merging with
gh pr merge --delete-branch.
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 · 37 lines · 20 tokens per session scan A 10e54df595fd
github is a skill published in the GitHub repository RightNow-AI/openfang (18,216 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 20 tokens to every session and 488 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.
Other skills, from other repositories
github
Manage GitHub issues and pull requests, inspect CI runs, and query repository data.
github
Interact with GitHub (issues, PRs, repos, releases) using the gh CLI. Use when asked to read or write GitHub state — open an issue, fetch PR diff, comment, list runs, etc.
public-plugin-packaging
Use when packaging an Agentlas agent repo for public GitHub release, Codex plugin submission, Claude adapter distribution, or one-line terminal installation.
flag-cleanup
Weekly reusable-session feature-flag cleanup for {{targetrepo}}. Inventories every feature flag, classifies each as fully rolled out, long dead, partial rollout, or active experiment, removes the flag and the dead branch it guards on an isolated branch when the suite is green, and opens a PR — never touching a flag…
changelog-sync
Reusable-session release-notes runbook for {{targetrepo}}. Finds the range since the last release covered, reads every PR merged in it, groups them by area, writes plain-language notes in the house voice, and opens a PR against {{changelogpath}} only when a new release has actually shipped.
flaky-test-quarantine
Daily reusable-session flaky-test triage for {{targetrepo}}. Pulls CI run history from GitHub, scores each test's non-determinism against a persistent per-test ledger, and once a test reaches {{quarantinethreshold}} opens a quarantine PR (skip + reason, never delete) plus a running tracking issue, and posts a summary…