ttl

ttl is a skill for Claude Code, Codex from kanoniv/auth-action. It costs 51 tokens per session (430 once invoked), scanned A, original, no licence file.

A command for changing the time limit, or TTL, of an active delegation while keeping its agent name and permissions.

In plain words
What is it for?
Use it to extend a session, change its TTL, or respond to requests such as “more time” or “extend session”.
Why use it?
It avoids creating a new delegation when an existing agent simply needs more or less time.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/kanoniv/auth-action/ttl
Any agent
npx skills add kanoniv/auth-action --skill ttl
Clone the repo
git clone --depth 1 https://github.com/kanoniv/auth-action

Made for: Claude Code, 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 ttl

README.md
[![agentmods](https://agentmods.dev/badge/skills/kanoniv/auth-action/ttl.svg)](https://agentmods.dev/skills/kanoniv/auth-action/ttl)
Your own site
<a href="https://agentmods.dev/skills/kanoniv/auth-action/ttl"><img src="https://agentmods.dev/badge/skills/kanoniv/auth-action/ttl.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 430 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00051 $0.00430
Opus 5 $0.00026 $0.00215
Sonnet 5 $0.00010 $0.00086
Haiku 4.5 $0.00005 $0.00043

Measured 4d ago against content hash 349fde86ba63, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ttl 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 4d 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/ttl/SKILL.md · 54 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 4d ago First seen · 54 lines · 51 tokens per session scan A 349fde86ba63

Subscribe to this mod's changes

ttl is a skill published in the GitHub repository kanoniv/auth-action (2 stars, last pushed 5mo ago), with no licence file. It adds 51 tokens to every session and 430 once invoked, about $0.0003 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 2026-08-31.

Related

Other skills, from other repositories

implementing-digital-signatures-with-ed25519

Ed25519 is a high-performance digital signature algorithm using the Edwards curve Curve25519. It provides 128-bit security with 64-byte signatures and 32-byte keys, offering significant advantages ove.

xalgorix/xalgorix · 50 tokens

agent-passport-system

Enforcement and accountability layer for AI agents. Bring your own identity (did:key, did:web, SPIFFE, OAuth, did:aps). Gateway enforcement boundary, monotonic narrowing, cascade revocation, spending controls, data lifecycle, observation governance (telemetry scopes, derivation rights, behavioral memory). Use when…

aeoess/agent-passport-system · 291 tokens

agent-upgrade

The one skill an AI agent adds to itself to become verifiable, accountable, and interoperable. It gives the agent an Ed25519 identity it controls, provable operation within the authority delegated to it, its own cryptographic receipt chain it can cite, the ability to communicate, delegate, and transact with other…

aeoess/agent-passport-system · 170 tokens

core-skill

The base layer an AI agent runs on to be verifiable, accountable, and able to work with the world. One slug adds a controlled Ed25519 identity tied to the principal behind the agent, scoped authority that only narrows, a signed receipt for every action the agent can carry across sessions and handoffs, and a connection…

aeoess/agent-passport-system · 133 tokens

model-citizen

Early release. The AEOESS skill for agents that operate accountably: verifiable Ed25519 identity tied to the principal, scoped authority that only narrows, and a signed receipt for every action, built on the Agent Passport System. The agent acts only within delegated authority. Apache-2.0. This is an early release…

aeoess/agent-passport-system · 77 tokens

implementing-digital-signatures-with-ed25519

Ed25519 is a high-performance digital signature algorithm using the Edwards curve Curve25519. It provides 128-bit security with 64-byte signatures and 32-byte keys, offering significant advantages ove.

Njones17/AI-agent-master-cyber-skills-list · 50 tokens