typesafe-wiki

typesafe-wiki is a skill for Codex from chujianyun/skills. It costs 102 tokens per session (827 once invoked), scanned A, original, no licence file.

An offline reference library for the TypeSafe AI service. It documents the Jev System One model, its question types and confidence state, design patterns, Python and JavaScript SDKs, HTTP API, and examples.

In plain words
What is it for?
Use it to look up TypeSafe API and SDK usage, data structures, architecture patterns, and cookbook examples.
Why use it?
It provides TypeSafe documentation without requiring a live documentation website. It helps answer integration questions about this specific service rather than other AI providers.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to look up TypeSafe API and SDK usage, data structures, architecture patterns, and cookbook examples.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chujianyun/skills/typesafe-wiki
Install

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.

Any agent
npx skills add chujianyun/skills --skill typesafe-wiki
Clone the repo
git clone --depth 1 https://github.com/chujianyun/skills

Made for: Codex.

Its marketplace also offers this one on its own, as the plugin typesafe-wiki — /plugin install typesafe-wiki after adding the marketplace above.

Wrote 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.

agentmods badge for typesafe-wiki

README.md
[![agentmods](https://agentmods.dev/badge/skills/chujianyun/skills/typesafe-wiki/github.svg)](https://agentmods.dev/skills/chujianyun/skills/typesafe-wiki)
Your own site
<a href="https://agentmods.dev/skills/chujianyun/skills/typesafe-wiki"><img src="https://agentmods.dev/badge/skills/chujianyun/skills/typesafe-wiki/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.

agentmods 80×15 button for typesafe-wiki

Your own site · 80×15
<a href="https://agentmods.dev/skills/chujianyun/skills/typesafe-wiki"><img src="https://agentmods.dev/badge/skills/chujianyun/skills/typesafe-wiki.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 827 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00102 $0.00827
Opus 5.5 $0.00041 $0.00331
Sonnet 5.5 $0.00020 $0.00165
Haiku 4.5 $0.00010 $0.00083

Measured 1mo ago against content hash 8d09522ba456, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

typesafe-wiki 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.

skills/typesafe-wiki/SKILL.md · 49 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

60 files 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.

Changes

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.

  1. 1mo ago First seen · 49 lines · 102 tokens per session scan A 8d09522ba456

Subscribe to this mod's changes

typesafe-wiki is a skill published in the GitHub repository chujianyun/skills (749 stars, last pushed 6d ago), with no licence file. It adds 102 tokens to every session and 827 once invoked, about $0.0004 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 2026-09-21.

Related

Other skills, from other repositories

markitdown

Converts heterogeneous documents and selected URIs to Markdown with Microsoft MarkItDown for text analysis, search, and LLM/RAG ingestion. Covers safe local conversion, streams, Office/PDF/data formats, batch workflows, plugins, vision OCR, Azure extraction, and the official MCP server.

K-Dense-AI/scientific-agent-skills · 62 tokens

llamaindex

Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM…

davila7/claude-code-templates · 70 tokens

jupyter-notebooks

Create, edit, or validate reproducible SQL or Python notebooks. Use for notebooks, SQL/Python scratchpads, reproducible exploration, audit trails, or runnable companions where the analysis should be reviewable or rerunnable.

XiaomiMiMo/MiMo-Code · 49 tokens

azure-ai-document-intelligence-dotnet

Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models. Use for invoice processing, receipt extraction, ID document analysis, and custom document models. Triggers: "Document Intelligence", "DocumentIntelligenceClient", "form recognizer"…

microsoft/skills · 83 tokens

azure-ai-document-intelligence-ts

Extract text, tables, and structured data from documents using Azure Document Intelligence (@azure-rest/ai-document-intelligence). Use when processing invoices, receipts, IDs, forms, or building custom document models.

microsoft/skills · 47 tokens

kb-retriever

A retrieval and question-answering assistant for a local folder of documents, including Markdown, text, PDFs, and spreadsheets.

ConardLi/garden-skills · 105 tokens