Apache Texera is an open-source platform for collaborative data science in which people create, run, and refine visual workflows with help from AI agents that follow natural-language instructions. Analysts use it for data analysis locally or in cloud deployments, including processing large datasets. Catalogue add-ons support workflows around the platform.
Borrowing it
Nothing to install: this file belongs to apache/texera. 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/apache/texera/main/AGENTS.mdgit clone --depth 1 https://github.com/apache/texeraWrote 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/apache/texera/agents-md)<a href="https://agentmods.dev/instructions/apache/texera/agents-md"><img src="https://agentmods.dev/badge/instructions/apache/texera/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/apache/texera/agents-md"><img src="https://agentmods.dev/badge/instructions/apache/texera/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 | $0.03445 | $0.03445 |
| Opus 5.5 | $0.01378 | $0.01378 |
| Sonnet 5.5 | $0.00689 | $0.00689 |
| Haiku 4.5 | $0.00345 | $0.00345 |
Grade A, and why
texera 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Architecture Map
Apache Texera: Scala/sbt backend services + the Amber workflow execution
engine, an Angular UI, and the agent service. JVM modules wired in
build.sbt.
| Area | Path | Detail |
|---|---|---|
| Workflow execution engine (Amber) | amber/ |
amber/README.md |
| Backend services | config-service/, access-control-service/, file-service/, computing-unit-managing-service/, workflow-compiling-service/, notebook-migration-service/ |
build.sbt |
| Shared Scala libs | common/ (auth, config, dao, util, workflow-core, workflow-operator, pybuilder) |
build.sbt |
| Frontend (Angular) | frontend/ |
frontend/README.md |
| Agent service (Bun/TS, LLM agents) | agent-service/ |
agent-service/package.json |
| Pyright language service | pyright-language-service/ |
pyright-language-service/README.md |
| Deploy scripts / Dockerfiles | bin/ |
README / k8s / single-node |
| DDL, sbt plugins | sql/, project/ |
files therein |
Amber breakdown
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.
- 1mo ago Changed · +19 lines · +272 tokens per session 4ea528ed5833
- 2mo ago Changed · +4 lines · +89 tokens per session bfc77957cf8a
- 2mo ago First seen · 263 lines · 3,084 tokens per session scan A ad116bcce3a0
texera AGENTS.md is an instructions file published in the GitHub repository apache/texera (329 stars, last pushed yesterday), licensed Apache-2.0. It adds 3,445 tokens to every session, about $0.0138 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.
texera AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| texera AGENTS.mdapache/texera | Instructions file | 329 | yesterday | Apache-2.0 | A | 3,445 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |