Skip to content

Tink Route

CLI that routes a task to one specialist skill from a Tink library using TypeSafe Jev, verifies the winner with tink mount, then prints it inline or as a mounted path.

Stars
5
Language
Python
License
MIT
Published by
Community
Author
jon-devlapaz
Last verified
Oct 2026

jon-devlapaz/tink-route

User repository on GitHub

View on GitHub

Dynamic, confidence-aware Agent Skill routing with TypeSafe Jev and Tink

Forks
0
Last pushed
Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.

About this project

Routes a task to one specialist skill from your Tink library, verifies it with tink mount, and prints it, using TypeSafe Jev for the decision. Then store the routing key (paste it at the silent prompt): Requires Python 3.11+ and the tink CLI on PATH. The key file is the reliable place for the key: agent harnesses often start tools from non-interactive shells that never read your shell profile, so an exported variable can silently be missing there.

Quoted from the project's README. Read the full README.

Highlights

  • Decide-only --pick prints the winner and confidence without mounting, writing, or emitting a receipt.
  • Skills up to --inline-max characters print inline; larger skills mount under .tink/.active/ without truncation.
  • Whole-library search by default; --skillset restricts strictly and can suggest a non-delivered hint from another shelf.
  • Machine-readable --json covers routed, delivered, no-skill, and error states with confidence and reason slugs.

Watch out

Requires Python 3.11+, the tink CLI on PATH, and a TYPESAFE_API_KEY for routing decisions. Copy reviewed against the repository README on 2026-10-04, not from running it.

Questions about this entry

Short answers drawn from the linked project or page.

More Jev resources like this

25GitHub stars
Agent-oriented playbook for using Jev as a cheap, fast decision layer that triages, classifies, scores, and gates work before expensive browser, research, retry, or subagent steps.
Jev Agents & MCP#community#awesomejev#catalog-import
14GitHub stars
Opt-in Hermes plugin that routes each turn to one skill: a wide Jev Choice plus request checks gate a narrow fits round, injecting a single ignorable hint line.
Jev Agents & MCP#community#jevbest#catalog-import
LangChain deepagents middleware that replaces SkillsMiddleware with per-turn judging, loading only the SKILL.md files a turn needs so large catalogs stay out of the prompt.
Jev Agents & MCP#community#jevbest#catalog-import
A Codex Skill that hands Jev the task summary plus the host's real model list, so Jev picks a model and reasoning effort for an independent subtask and Codex executes with it.
Jev Agents & MCP#community#awesomejev#catalog-import
2GitHub stars
A Python CLI that asks Jev which of four coding agents should take a task, optionally waits for your approval, then opens that app or its website and pastes the prompt in.
Jev Agents & MCP#community#awesomejev#catalog-import
3GitHub stars
Agent Skill that sends large tool output and CI logs to Jev and hands your expensive model only the few lines that matter, shipped with a stdlib-only caller, a doctor command, and a plan mode that keeps open-ended work on your LLM.
Jev Agents & MCP#community#awesomejev#catalog-import
Back to all resources

From the Jev community

Posts from builders shipping with Jev right now.

Follow @typesafeai