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.
npx agentmods add agents/amanvarshney01/create-better-t-stack/domaingit clone --depth 1 https://github.com/AmanVarshney01/create-better-t-stackWhat 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 | $0.00000 | $0.00263 |
| Opus 5 | $0.00000 | $0.00131 |
| Sonnet 5 | $0.00000 | $0.00053 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
domain 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 2d 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.
What it actually says
Domain Docs
How the engineering skills should consume this repo's domain documentation when exploring the codebase.
Layout
This repo is configured as a single-context repo:
CONTEXT.mdat the repo root contains the shared domain glossary and project context.docs/adr/contains architectural decision records for the repo.
Before exploring, read these
CONTEXT.mdat the repo root, if it exists.docs/adr/, if it exists, focusing on ADRs that touch the area being changed.
If these files do not exist, proceed silently. Do not flag their absence or suggest creating them upfront. Producer workflows can create them later when terms or decisions need to be captured.
Use the glossary's vocabulary
When output names a domain concept in an issue title, refactor proposal, hypothesis, or test name, use the term as defined in CONTEXT.md. Do not drift to synonyms the glossary explicitly avoids.
If the concept is not in the glossary yet, treat that as a signal: either the work is inventing language the project does not use, or there is a real documentation gap to note for a domain-doc update.
Flag ADR conflicts
If output contradicts an existing ADR, surface it explicitly rather than silently overriding it.
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.
- 2d ago First seen · 28 lines · 0 tokens per session scan A 75d8f0e775a3
domain is an agent published in the GitHub repository AmanVarshney01/create-better-t-stack (5,691 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 263 tokens. 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.
Other agents, from other repositories
CLAUDE
AI agents that handle customer conversations autonomously. Powered by Mastra, using a workspace-based architecture where agents interact through a virtual filesystem and CLI commands.
subagents
Specialized agents to spawn for scoped work, so verbose output stays out of the main context window and independent tasks run in parallel. Each entry is a ready-to-paste system prompt plus when to use and tool scope.
AGENTS
The primer now lives at the repo root: ../AGENTS.md — that's the file Codex, Cursor, and Copilot read by convention, so it's the single source of truth.
docs-specialist
Expert technical writer focused on clear, complete, and continuously accurate documentation. Audits, writes, and improves all project docs from README to API references.
ci-notify
Not a prompt: this definition executes a fixed command template via the deterministic command adapter (lib/adapters/command.mjs). No model runs.
evidence-cohort-teacher
Produces one bounded, review-only SKILL.md body proposal from an already-selected local evidence cohort.