tokenless-install

tokenless-install is a skill for Codex from jazelly/tokenless. It costs 43 tokens per session (1,520 once invoked), scanned A, original, MIT.

A maintenance workflow for installing and checking Tokenless, its agent skills, and the local Playwright browser runtime. It is used only for explicitly requested setup or repair tasks.

In plain words
What is it for?
Installing or upgrading Tokenless, repairing a failed setup, handing off browser sign-in, and checking installation integrity.
Why use it?
It keeps the installed command-line tool, skills, and browser runtime in sync and checks whether the installation is healthy.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Installing or upgrading Tokenless, repairing a failed setup, handing off browser sign-in, and checking installation integrity.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jazelly/tokenless/tokenless-install
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 jazelly/tokenless --skill tokenless-install
Clone the repo
git clone --depth 1 https://github.com/jazelly/tokenless

Made for: Codex.

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 tokenless-install

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/jazelly/tokenless/tokenless-install"><img src="https://agentmods.dev/badge/skills/jazelly/tokenless/tokenless-install.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,520 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 27
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original 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 $0.00043 $0.01520
Opus 5.5 $0.00017 $0.00608
Sonnet 5.5 $0.00009 $0.00304
Haiku 4.5 $0.00004 $0.00152

Measured 1mo ago against content hash a9f0aa0d1b95, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tokenless-install 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/tokenless-install/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tokenless API installation and maintenance

Install prepares software; setup changes user choices; upgrade replaces software while preserving those choices. Match the requested scope and report in the user's language; a check-only request stays read-only.

Select the installation channel

Identify the OS, architecture, and executable location before choosing commands.

Installation Route
Windows x64 (prerelease) npm CLI in PowerShell or a terminal; no macOS menu app.
Apple Silicon macOS, npm CLI npm CLI; the menu app is a separate optional install.
Apple Silicon macOS 13+, standalone app Bundled Node, CLI, and daemon; use the app's own update action or embedded CLI. Global npm does not update this app.
Source-linked CLI Refresh the selected checkout and preserve its development link; do not replace it with a published npm package.

The standalone app needs no global Node/npm, but excludes browsers and the G4F Python environment. For a requested app install, use the matching release ZIP and SHA-256 checksum.

For a requested macOS app source build, use npm run install:macos-menu. Verify the menu and daemon afterward. Do not infer support for other platforms from browser artifacts alone.

Choose the workflow

Request Commands
Fresh npm CLI Check Node.js 22.13+ and npm, then npm install --global tokenless@latest and tokenless --version; continue to setup, or run skill sync for a software-only install.
Interactive setup tokenless setup
Setup with known browser/profile choices tokenless setup --browser <browser> --profile <slug> --defaults --json
Check for updates tokenless upgrade --check --json
Authorized upgrade tokenless upgrade --yes --json through the selected installation channel.
Sync skills only tokenless skills sync --json
Diagnose installation tokenless doctor --json

Use the installed tokenless command, never npx tokenless. Carry the selected --home through runtime commands; skill sync is user-global and takes no --home. Install missing prerequisites within the authorized scope or report what is missing.

Read the full file on GitHub · 81 lines

Files

What ships with it

1 file 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 Changed · -62 lines · -9 tokens per session a9f0aa0d1b95
  2. 1mo ago Changed · +45 lines · -4 tokens per session 4569f439d1e5
  3. 1mo ago First seen · 98 lines · 56 tokens per session scan A 7202873f32fe

Subscribe to this mod's changes

tokenless-install is a skill published in the GitHub repository jazelly/tokenless (16 stars, last pushed 29d ago), licensed MIT. It adds 43 tokens to every session and 1,520 once invoked, about $0.0002 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.

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