KaibanJS is a JavaScript framework for creating and coordinating teams of AI agents and the tasks they perform. Developers use its Kanban-style workflow to run, visualize, and track agent-based processes with custom interfaces or without a user interface.
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.
git clone --depth 1 https://github.com/kaiban-ai/KaibanJSWrote 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/rules/kaiban-ai/kaibanjs/english-repo-content)<a href="https://agentmods.dev/rules/kaiban-ai/kaibanjs/english-repo-content"><img src="https://agentmods.dev/badge/rules/kaiban-ai/kaibanjs/english-repo-content/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/rules/kaiban-ai/kaibanjs/english-repo-content"><img src="https://agentmods.dev/badge/rules/kaiban-ai/kaibanjs/english-repo-content.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00172 | $0.00172 |
| Opus 5 | $0.00086 | $0.00086 |
| Sonnet 5 | $0.00034 | $0.00034 |
| Haiku 4.5 | $0.00017 | $0.00017 |
Grade A, and why
english-repo-content 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 12d 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.
What it actually says
English-only repository content
All user-facing text in this repository should be written in English, including:
- Markdown under
out/,docs/,playground/**/README.md, rootREADME.md, issue drafts, and ADRs - Comments in source code where they explain behavior to maintainers (prefer concise English)
- Commit messages, PR titles/descriptions, and GitHub issue bodies drafted from this repo
Do not add Spanish (or other languages) for primary documentation or issue templates unless the project explicitly maintains a localized copy alongside the English source.
When editing existing Spanish or mixed-language files, translate to English unless the file is clearly marked as a legacy / archived locale-specific document.
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.
- 12d ago First seen · 17 lines · 172 tokens per session scan A 26b15b897d9d
english-repo-content is a cursor rule published in the GitHub repository kaiban-ai/KaibanJS (1,476 stars, last pushed 3mo ago), licensed MIT. It adds 172 tokens to every session, about $0.0009 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.
Other cursor rules, from other repositories
hatch3r-i18n
Internationalization, localization, and RTL support conventions for the project.
mintlify
You are an AI writing assistant specialized in creating exceptional technical documentation using Mintlify components and following industry-leading technical writing practices.
hatch3r-observability-tracing
Distributed tracing, OpenTelemetry conventions, and AI agent instrumentation for the project.
hatch3r-spec-currency
Spec-currency mandate — any diff changing user-observable behavior covered by a docs/specs/ file updates that spec in the same delivery; staleness definition, review-gate drift finding with a named owner, and a release-readiness sweep.
RULE
Referring to product names.
hatch3r-api-design
REST, GraphQL, and gRPC contract patterns covering versioning, auth, CORS, pagination, webhooks, rate limiting, and security headers.