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 skills add aliyun/alibabacloud-bigdata-skills --skill open-apigit clone --depth 1 https://github.com/aliyun/alibabacloud-bigdata-skillsWrote 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/aliyun/alibabacloud-bigdata-skills/open-api)<a href="https://agentmods.dev/skills/aliyun/alibabacloud-bigdata-skills/open-api"><img src="https://agentmods.dev/badge/skills/aliyun/alibabacloud-bigdata-skills/open-api/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/aliyun/alibabacloud-bigdata-skills/open-api"><img src="https://agentmods.dev/badge/skills/aliyun/alibabacloud-bigdata-skills/open-api.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 | $0.00066 | $0.03515 |
| Opus 5.5 | $0.00026 | $0.01406 |
| Sonnet 5.5 | $0.00013 | $0.00703 |
| Haiku 4.5 | $0.00007 | $0.00351 |
Grade A, and why
dataworks-open-api 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Run the discovery script to curl the official documentation page and extract the complete API overview: How it starts
The opening of the file, as written. The whole thing — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DataWorks (dataworks-public)
Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage all DataWorks resources. MCP Server is available as an alternative integration.
Workflow
- Confirm region, project/resource identifiers, and desired action.
- Discover available APIs and required parameters (see API discovery below).
- Call API via SDK.
- Verify results with describe/list/get APIs.
Troubleshooting fallback chain (follow this order)
If execution fails at any step, escalate to the next level:
- Cookbook — check
references/cookbook.mdfirst. It contains verified API patterns, pitfalls, error recovery, the full end-to-end lifecycle (Create → Submit → Deploy → Run → Monitor), and reusable code snippets. Most common issues are already documented there. - Official help docs — read the API overview and per-API doc pages.
- If an API call fails or the request/error is not understood, fetch the API directory page to locate the relevant API documentation:
https://help.aliyun.com/zh/dataworks/developer-reference/api-dataworks-public-2024-05-18-dirBrowse the category list, find the matching API name, and navigate to its detail page (URL pattern:https://help.aliyun.com/zh/dataworks/developer-reference/api-dataworks-public-2024-05-18-{apinameincamelcase}) for parameter details, error codes, and usage examples. For example, ifCreateNodefails, find it under "数据开发（新版）" in the directory, then read its detail page:https://help.aliyun.com/zh/dataworks/developer-reference/api-dataworks-public-2024-05-18-createnode
- If an API call fails or the request/error is not understood, fetch the API directory page to locate the relevant API documentation:
- OpenAPI metadata — fetch the raw JSON spec for exact parameter names, types, and required fields.
- SDK API docs — check the typed SDK reference for correct method signatures and request classes.
- Java:
https://aliyunsdk-pages.alicdn.com/apidocs/{PRODUCT_CODE}/{API_VERSION}/java-async-tea/8.0.3/index.html - Node.js / Python: see
references/sources.md
- GitHub source code — read the Java SDK source for model/request class definitions:
https://github.com/aliyun/alibabacloud-java-sdk/tree/master/dataworks-public-20240518(browsesrc/main/java/com/aliyun/dataworks_public20240518/for request/response models). - MCP Server — use the MCP Server to call APIs directly (see
references/mcp_server.md). - Browser — use browser-use to visit the DataWorks Homepage (
https://dataworks.data.aliyun.com/${ALIBABA_CLOUD_REGION_ID}/#/index) and inspect the UI behavior, network requests, or page content for clues.
What ships with it
7 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.
- 1mo ago First seen · 299 lines · 66 tokens per session scan A ec7b00362cec
dataworks-open-api is a skill published in the GitHub repository aliyun/alibabacloud-bigdata-skills (19 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 66 tokens to every session and 3,515 once invoked, about $0.0003 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 2026-08-30.
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agent-evolution
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bad-case-to-dpo
A guide to turning failed production agent runs into training and evaluation data. It explains how to find the first mistake, create preference examples for DPO (Direct Preference Optimization), and check that a fix does not damage other tasks.
knowledge-org
A guide to organising large bodies of knowledge so an AI system can navigate relationships, summaries, and layers instead of searching only flat text chunks. It covers tree indexes, knowledge graphs, file-like structures, incremental updates, and long-term memory layouts.
vector-and-embedding-weaknesses
Hunt vector / embedding weaknesses (OWASP LLM08:2025) — adversarial inputs against the RAG / similarity layer that cause cross-tenant leak, embedding-inversion privacy loss, semantic confusion, and retriever-driven prompt injection.