Wanwu is an enterprise platform for building AI agents, workflows, retrieval-augmented applications, and managing models in multi-tenant environments. It is designed for developers and enterprise teams delivering AI applications and integrations. The catalogue entries provide skills and agents for using the platform.
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 UnicomAI/wanwu --skill claude-apigit clone --depth 1 https://github.com/UnicomAI/wanwuWrote 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/unicomai/wanwu/claude-api)<a href="https://agentmods.dev/skills/unicomai/wanwu/claude-api"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/claude-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/unicomai/wanwu/claude-api"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/claude-api.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Memory Poisoning · line 183 Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
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 | $0.00084 | $0.04382 |
| Opus 5.5 | $0.00034 | $0.01753 |
| Sonnet 5.5 | $0.00017 | $0.00876 |
| Haiku 4.5 | $0.00008 | $0.00438 |
Grade A, and why
claude-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.
- Suggest cURL/raw HTTP examples from `curl/` and note that community SDKs may exist Copies of this mod
7 near-identical copies found in the catalogue:
- claude-api — 100% identical, 0 lines differ
- claude-api — 100% identical, 0 lines differ
- claude-api — 100% identical, 0 lines differ
- claude-api — 100% identical, 0 lines differ
- claude-api — 100% identical, 0 lines differ
- claude-api — 98% identical, 13 lines differ
- claude-api — 94% identical, 9 lines differ
How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building LLM-Powered Applications with Claude
This skill helps you build LLM-powered applications with Claude. Choose the right surface based on your needs, detect the project language, then read the relevant language-specific documentation.
Defaults
Unless the user requests otherwise:
For the Claude model version, please use Claude Opus 4.6, which you can access via the exact model string claude-opus-4-6. Please default to using adaptive thinking (thinking: {type: "adaptive"}) for anything remotely complicated. And finally, please default to streaming for any request that may involve long input, long output, or high max_tokens — it prevents hitting request timeouts. Use the SDK's .get_final_message() / .finalMessage() helper to get the complete response if you don't need to handle individual stream events
Language Detection
Before reading code examples, determine which language the user is working in:
-
Look at project files to infer the language:
*.py,requirements.txt,pyproject.toml,setup.py,Pipfile→ Python — read frompython/*.ts,*.tsx,package.json,tsconfig.json→ TypeScript — read fromtypescript/*.js,*.jsx(no.tsfiles present) → TypeScript — JS uses the same SDK, read fromtypescript/*.java,pom.xml,build.gradle→ Java — read fromjava/*.kt,*.kts,build.gradle.kts→ Java — Kotlin uses the Java SDK, read fromjava/*.scala,build.sbt→ Java — Scala uses the Java SDK, read fromjava/*.go,go.mod→ Go — read fromgo/*.rb,Gemfile→ Ruby — read fromruby/*.cs,*.csproj→ C# — read fromcsharp/*.php,composer.json→ PHP — read fromphp/
-
If multiple languages detected (e.g., both Python and TypeScript files):
- Check which language the user's current file or question relates to
- If still ambiguous, ask: "I detected both Python and TypeScript files. Which language are you using for the Claude API integration?"
What ships with it
25 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.
- csharp/claude-api.md 1.7 KB
- curl/examples.md 4.4 KB
- go/claude-api.md 3.9 KB
- java/claude-api.md 3.8 KB
- LICENSE.txt 11 KB
- php/claude-api.md 1.5 KB
- python/agent-sdk/patterns.md 8.0 KB
- python/agent-sdk/README.md 9.6 KB
- python/claude-api/batches.md 4.8 KB
- python/claude-api/files-api.md 3.8 KB
- python/claude-api/README.md 11 KB
- python/claude-api/streaming.md 5.1 KB
- python/claude-api/tool-use.md 16 KB
- ruby/claude-api.md 1.8 KB
- shared/error-codes.md 6.9 KB
- shared/live-sources.md 10 KB
- shared/models.md 4.5 KB
- shared/tool-use-concepts.md 14 KB
- typescript/agent-sdk/patterns.md 3.2 KB
- typescript/agent-sdk/README.md 7.7 KB
- typescript/claude-api/batches.md 2.5 KB
- typescript/claude-api/files-api.md 2.2 KB
- typescript/claude-api/README.md 8.4 KB
- typescript/claude-api/streaming.md 5.5 KB
- typescript/claude-api/tool-use.md 13 KB
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 · 244 lines · 84 tokens per session scan A 1ec3d558d336
claude-api is a skill published in the GitHub repository UnicomAI/wanwu (2,371 stars, last pushed 3d ago), licensed Apache-2.0. It adds 84 tokens to every session and 4,382 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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Use when building LLM applications with visual workflow — RAG knowledge bases, AI agents, chatbots with drag-and-drop orchestration. Dify: open-source LLM app platform supporting 30+ models (OpenAI, Claude, DeepSeek, Ollama, Qwen, GLM) with Docker deployment.