TeaQL Agent Kit is a development harness that places an executable domain model between a coding agent's requirements and its implementation. It evaluates and repairs that model, generates typed API boundaries, and guides the agent toward implementing and verifying software within those constraints. The catalogue entries provide the kit's agent, skill, and instruction workflows.
Borrowing it
Nothing to install: this file belongs to teaql/teaql-agent-kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/teaql/teaql-agent-kit/main/AGENTS.mdgit clone --depth 1 https://github.com/teaql/teaql-agent-kitWrote 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/instructions/teaql/teaql-agent-kit/agents-md)<a href="https://agentmods.dev/instructions/teaql/teaql-agent-kit/agents-md"><img src="https://agentmods.dev/badge/instructions/teaql/teaql-agent-kit/agents-md/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/instructions/teaql/teaql-agent-kit/agents-md"><img src="https://agentmods.dev/badge/instructions/teaql/teaql-agent-kit/agents-md.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 | $0.00940 | $0.00940 |
| Opus 5.5 | $0.00376 | $0.00376 |
| Sonnet 5.5 | $0.00188 | $0.00188 |
| Haiku 4.5 | $0.00094 | $0.00094 |
Grade A, and why
teaql-agent-kit AGENTS.md 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — TeaQL Agent Kit
This repository publishes the build-teaql-app Agent Skill. For TeaQL
modeling, generation, or application work, read and follow
skills/build-teaql-app/SKILL.md.
Repository infrastructure
The generic context runtime lives in packages/agent-context-kit/ as the
independently publishable @teaql/agent-context-kit package. Its source, host
plugins, tests and Apache-2.0 license stay inside that package. The root MIT
license and TeaQL Skill entry point remain separate.
For context-runtime or repository infrastructure changes, use npm ci and
npm run check from the root; see docs/context-runtime.md. The workspace root
is private and must not be published. Publish or install the explicit child
package, not the repository root. Package-local paths in host manifests remain
relative to packages/agent-context-kit/.
TeaQL client/evaluation/generation requirements below apply when performing TeaQL modeling or application operations. Parser, packaging and local runtime tests do not require invoking the Generation Service. Do not claim that the dedicated context-policy harness already executes the complete TeaQL workflow.
Hard Requirements
- Work model-first: save complete KSML, evaluate it with the Generation Service, and fix all Errors before generation. Never run evaluation before the first complete model target exists.
- TeaQL application generation supports exactly these seven language families: Java, Rust, Go, Swift, Python, C#/.NET, and TypeScript. Kotlin/JVM applications are also supported through Java-generated libraries and the Java runtime; this is JVM interoperability, not an eighth generator/runtime. Do not infer support for an unlisted language. C++, Dart, Ruby, and other unlisted smaller language ecosystems are not supported. Do not substitute one language's generated API for another.
- Rust requires
cargo-teaqlexactly2.0.14. Verify it before every TeaQL operation; stop on any mismatch. - Java requires
io.teaql:teaql-maven-plugin:1.1.1or newer from the TeaQL Nexus releases repository. Use fully qualified Maven coordinates, nevermvn teaql:*. - Every Rust model-derived command, including assist, uses
cargo teaql --input <model> <command> .... - Rust generation uses only
rust-lib-coreandrust-app-console. - Never edit generated domain-library files.
- Read the generated application/workspace
AGENTS.mdand current object-specific assist before business code. Never guess generated methods. Do not inspect generated domain-library source for API discovery. If progressive Assist lacks the required operation, reportMISSING_ASSISTinstead of searching the generated library. - Create each application-owned source file once. After its first compile
attempt, repair it with the smallest localized patch; do not rewrite the
whole file. If a repair would replace more than 25% of an existing file,
stop and report
LARGE_REWRITE_REQUESTwith the diagnostic and reason. - Every query execution declares purpose and comment through the exact generated API for its language.
- Every write declares an audit reason through the exact generated API for its language. Never guess the spelling from Java or Rust examples.
- When evaluation reaches zero errors, send the model path and evaluation counts, then continue without waiting. Human Review runs in parallel.
- Report actual model, assist, policy, compile, test, runtime, and token/context evidence. Never invent savings or verification results.
- Every
<_value>in a constant object must explicitly provide every data field declared by that constant object, even when a field is nullable. Do not repeat_...metadata, version,createTime()/updateTime()fields, or the domain-root relationship injected by runtime Fix/Context. - Prefer XML-aware tools or libraries to create and repair KSML. Select nodes structurally and check match counts; avoid repeated string/regex replacements. Reparse saved XML and inspect the diff before semantic evaluation. Follow the Skill's "Edit KSML as XML" guidance.
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.
- today Changed · +22 lines · +263 tokens per session bb74b1a40adb
- 1mo ago Changed eaa2bbfeb457
- 1mo ago Changed · +7 lines · +104 tokens per session 0fbbc4f98126
- 1mo ago Changed · +4 lines · +67 tokens per session 63d003169147
- 1mo ago First seen · 42 lines · 506 tokens per session scan A 4f745bfe314a
teaql-agent-kit AGENTS.md is an instructions file published in the GitHub repository teaql/teaql-agent-kit (2,818 stars, last pushed yesterday), licensed MIT. It adds 940 tokens to every session, about $0.0038 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).