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.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/pingdotgg/t3codenpx agentmods add skills/pingdotgg/t3code/alchemy-providerWrote 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.
[](https://agentmods.dev/skills/pingdotgg/t3code/alchemy-provider)<a href="https://agentmods.dev/skills/pingdotgg/t3code/alchemy-provider"><img src="https://agentmods.dev/badge/skills/pingdotgg/t3code/alchemy-provider/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.
<a href="https://agentmods.dev/skills/pingdotgg/t3code/alchemy-provider"><img src="https://agentmods.dev/badge/skills/pingdotgg/t3code/alchemy-provider.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00153 | $0.13022 |
| Opus 5.5 | $0.00061 | $0.05209 |
| Sonnet 5.5 | $0.00031 | $0.02604 |
| Haiku 4.5 | $0.00015 | $0.01302 |
Grade A, and why
alchemy-provider scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
async fetch(_request: Request, env: PingEnv) { How it starts
The opening of the file, as written. The whole thing — 988 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building an Alchemy provider
A provider is built on a flywheel. Each turn of it makes both the SDK and the provider more correct:
1. distilled SDK ──> 2. alchemy resources ──> 3. live tests
^ │
└──── 4. distilled patches <── wrong error / wrong schema
The live API is the only authority. A resource is done when its test passes against the real provider, and every mismatch that test surfaced is fixed in distilled rather than worked around in alchemy.
The target is the whole provider. "Create a provider for X" means every resource in every service the distilled SDK covers is either implemented and live-tested, or listed as out of scope with a reason from step 2. A handful of foundation resources is the first wave, never the deliverable. Cost is not a scoping reason: expensive resources are implemented like any other (see step 6 for running their tests). The user narrows scope; the agent does not.
Coverage is 1:1 with the API, operation by operation. Every
operation in every in-scope service ends up as exactly one of: part of a
resource's lifecycle, a binding, an event source, or an internal row
with a reason. A service with resources but no bindings is half done.
AWS is the bar: 2,846 binding services across 205 of its 212 services.
GCP reached 57 of 161 services and Azure 4 of 160; both were reported as
done. Every call goes through distilled. When distilled is missing an
operation, patch distilled (step 1); never work around it in alchemy.
The whole provider also means its non-resource deliverables: a binding for every data-plane operation (step 5), every runtime in both forms, event sources, and a workflow engine when the cloud runs code, framework websites on the cloud's CDN and functions (step 7, when the cloud hosts websites), examples, the docs hub, and generated docs (step 10). They are rows in the same index as resources, with the same statuses. Never write "a later phase" into an agent contract without adding those rows: on Azure, the contract said "bindings are a later phase — do not build them", the phase never came, and 1,193 resources shipped with zero bindings, no runtime, no examples, and docs for 4 services.
AGENTS.md owns the doctrines this skill relies on; read these sections
before writing code and follow them as written:
- Package boundaries — every provider is its own workspace package;
core never imports it, and it reaches core only through
alchemy/*. - Reconciler doctrine — the observe → ensure → sync shape of
reconcile. - Typed Error Doctrine (distilled) — every error alchemy handles is a typed tag in the SDK.
- Speed doctrine: never wait on a hang — bounded retries,
timeouton every test run, the three-iteration budget. - Read/Write/ReadWrite binding convention, Runtime-only methods, and Isolate scope vs request scope — bindings and runtimes.
- Documentation Generation — JSDoc is the only docs source.
- The Resource Factory Process — how to fan the work out to agents.
Those rules existed while the GCP provider was built, and its first review still found the same violations in hundreds of files. Reading the rules is not enough: review.md turns each of them into a check with a command and an expected result. Run that review at every wave boundary and before step 10; a provider with unexplained hits is not done.
What ships with it
2 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.
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.
- yesterday First seen · 988 lines · 153 tokens per session scan A 07c7d194498a
alchemy-provider 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 13,022 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-11-04.
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