prepare-release

prepare-release is a skill for Claude Code, Codex from pingdotgg/t3code. It costs 153 tokens per session (5,018 once invoked), scanned A, original, MIT.

A release-preparation workflow that cleans a testing account, runs unit, local, and live provider tests, and coordinates fixes until the test suite is stable.

In plain words
What is it for?
Preparing an Alchemy release across selected providers, coordinating service fixes, checking types, and producing pull requests for the user to merge.
Why use it?
It brings failures and leftover test resources into one repeatable process before a release, while requiring permission before destructive cleanup.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; installed under .agents/ (shared by several agents); mentions AGENTS.md.

Good fit Preparing an Alchemy release across selected providers, coordinating service fixes, checking types, and producing pull requests for the user to merge.

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Install with agentmods
npx agentmods add skills/pingdotgg/t3code/prepare-release
About the project

T3 Code is an app for controlling AI coding agents running on a user's computer through mobile, web, and desktop interfaces. Developers use it to work remotely with supported agents such as Codex, Claude Code, Cursor, Grok Build, OpenCode, and Antigravity. The catalogue add-ons support the T3 Code workflow.

pingdotgg/t3code · 46,669 stars · on GitHub · t3.codes

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 pingdotgg/t3code --skill prepare-release
Clone the repo
git clone --depth 1 https://github.com/pingdotgg/t3code

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 prepare-release

README.md
[![agentmods](https://agentmods.dev/badge/skills/pingdotgg/t3code/prepare-release/github.svg)](https://agentmods.dev/skills/pingdotgg/t3code/prepare-release)
Your own site
<a href="https://agentmods.dev/skills/pingdotgg/t3code/prepare-release"><img src="https://agentmods.dev/badge/skills/pingdotgg/t3code/prepare-release/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 prepare-release

Your own site · 80×15
<a href="https://agentmods.dev/skills/pingdotgg/t3code/prepare-release"><img src="https://agentmods.dev/badge/skills/pingdotgg/t3code/prepare-release.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 153 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,018 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 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 $0.00153 $0.05018
Opus 5.5 $0.00061 $0.02007
Sonnet 5.5 $0.00031 $0.01004
Haiku 4.5 $0.00015 $0.00502

Measured yesterday against content hash 1909c29495a6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

prepare-release 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 yesterday.

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.

.repos/alchemy-effect/.agents/skills/prepare-release/SKILL.md · 381 lines

How it starts

The opening of the file, as written. The whole thing — 381 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prepare a release

This session is the coordinator of the convergence loop in AGENTS.md ("The convergence loop: nuke → test → census → fix-fleet"). You own the clean slate, the test runs, triage, type-checking, the census, and the PRs. Fix agents own one service each. The user merges; you never do.

Each provider in scope converges with the harden skill (.agents/skills/harden/SKILL.md): its loop, root-cause order, isolation rules and the provider-bug patterns it lists all apply here. This skill adds the release-wide pieces around it: the clean slate, the plan across providers, the fix fleet, and the PRs. When the user only asks to harden a provider, use the harden skill instead of this one.

The arguments name the scope: providers (aws cloudflare gcp …) or all. With no arguments, propose a scope (default: unit + local + every provider:* live tag) and confirm it together with the nuke in a single question. Nuking the testing account is destructive — always get an explicit go-ahead first.

0. Preflight

Start from a clean, up-to-date main in this worktree, on a fresh branch:

git status                                   # must be clean; never git stash
git fetch origin main && git checkout -b release/prep-$(date +%Y-%m-%d) origin/main
git submodule update --init -- submodules/distilled
pnpm install
bun --version                                # must be 1.3.13 — 1.4 fails every file at collection
# if not: mkdir -p /tmp/bun1313 && (cd /tmp/bun1313 && npm i --no-save [email protected])
#         export PATH=/tmp/bun1313/node_modules/.bin:$PATH   (prefix every pnpm test with this)
node -v                                      # alchemy CLI needs >= 24.11.1 and pnpm wants 24.x — node 25
# makes pnpm print a [WARN] that breaks scripts/ensure-built.ts. If not 24.11+:
#   mkdir -p /tmp/node24 && (cd /tmp/node24 && npm i --no-save node@24)
#   export PATH=/tmp/node24/node_modules/.bin:$PATH
# Put these PATH exports + `set -a; source .env; set +a` in /tmp/release/env.sh and
# source it before every command — env doesn't persist between shell calls.
set -a; source .env; set +a                  # Cloudflare creds (pnpm download:env if missing)
aws sso login                                # AWS live + nuke ride the SSO session
mkdir -p /tmp/release
pnpm exec tsrs -b                             # REQUIRED before live runs: emits distilled lib/

Read the full file on GitHub · 381 lines

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. yesterday First seen · 381 lines · 153 tokens per session scan A 1909c29495a6

Subscribe to this mod's changes

prepare-release is a skill published in the GitHub repository pingdotgg/t3code (46,669 stars, last pushed today), licensed MIT. It adds 153 tokens to every session and 5,018 once invoked, about $0.0006 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 2026-11-04.