Higress is a cloud-native API gateway built on Istio and Envoy that routes and manages APIs and can be extended with WebAssembly plugins. It is used to manage APIs for AI models and MCP servers as well as general services, and the catalogue entries provide agent workflows and integrations for operating it.
Borrowing it
Nothing to install: this file belongs to higress-group/higress. 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/higress-group/higress/main/.agents/skills/higress-openclaw-integration/SKILL.mdgit clone --depth 1 https://github.com/higress-group/higressWrote 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/higress-group/higress/higress-openclaw-integration)<a href="https://agentmods.dev/skills/higress-group/higress/higress-openclaw-integration"><img src="https://agentmods.dev/badge/skills/higress-group/higress/higress-openclaw-integration/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/higress-group/higress/higress-openclaw-integration"><img src="https://agentmods.dev/badge/skills/higress-group/higress/higress-openclaw-integration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to high
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 →
- high Excessive Agency · line 201 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- high Excessive Agency · line 202 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- high Excessive Agency · line 203 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- medium Data Exfiltration · line 229 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00103 | $0.02697 |
| Opus 5.5 | $0.00041 | $0.01079 |
| Sonnet 5.5 | $0.00021 | $0.00539 |
| Haiku 4.5 | $0.00010 | $0.00270 |
Grade A, and why
higress-openclaw-integration 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 2mo 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.
curl -fsSL https://higress.ai/ai-gateway/install.sh -o get-ai-gateway.sh How it starts
The opening of the file, as written. The whole thing — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higress AI Gateway Integration
Deploy Higress AI Gateway and configure OpenClaw to use it as a unified model provider.
Quick Start
Step 1: Collect Information from User
Ask the user for the following information upfront:
-
Which LLM provider(s) to use? (at least one required)
Commonly Used Providers:
Provider Parameter Notes 智谱 / z.ai --zhipuai-keyModels: glm-*, Code Plan mode enabled by default Claude Code --claude-code-keyRequires OAuth token from claude setup-tokenMoonshot (Kimi) --moonshot-keyModels: moonshot-, kimi- Minimax --minimax-keyModels: abab-* 阿里云通义千问 (Dashscope) --dashscope-keyModels: qwen* OpenAI --openai-keyModels: gpt-, o1-, o3-* DeepSeek --deepseek-keyModels: deepseep-* Grok --grok-keyModels: grok-* Other Providers:
Provider Parameter Notes Claude --claude-keyModels: claude-* Google Gemini --gemini-keyModels: gemini-* OpenRouter --openrouter-keySupports all models (catch-all) Groq --groq-keyFast inference Doubao (豆包) --doubao-keyModels: doubao-* Mistral --mistral-keyModels: mistral-* Baichuan (百川) --baichuan-keyModels: Baichuan* 01.AI (Yi) --yi-keyModels: yi-* Stepfun (阶跃星辰) --stepfun-keyModels: step-* Cohere --cohere-keyModels: command* Fireworks AI --fireworks-key- Together AI --togetherai-key- GitHub Models --github-key- Cloud Providers (require additional config):
- Azure OpenAI:
--azure-key(requires service URL) - AWS Bedrock:
--bedrock-key(requires region and access key) - Google Vertex AI:
--vertex-key(requires project ID and region)
Brand Name Display (z.ai / 智谱):
- If user communicates in Chinese: display as "智谱"
- If user communicates in English: display as "z.ai"
- Azure OpenAI:
What ships with it
6 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.
- 2mo ago First seen · 260 lines · 103 tokens per session scan A e56f2a93dbdc
higress-openclaw-integration is a skill published in the GitHub repository higress-group/higress (9,720 stars, last pushed today), licensed Apache-2.0. It adds 103 tokens to every session and 2,697 once invoked, about $0.0004 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 2026-08-31.
higress-openclaw-integration compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| higress-openclaw-integrationhigress-group/higress | Skill | 9.7k | today | Apache-2.0 | A | 103 | Claude Code, Codex |
| serverless-expertpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 58 | Claude Code |
| API Gateway TestingPramodDutta/qaskills | Skill | 245 | 3d ago | MIT | A | 43 | Claude Code, Codex |
| huawei-cloud-apig-instance-managementhuaweicloud/huaweicloud-devkit | Skill | 70 | yesterday | Apache-2.0 | A | 206 | Claude Code |
| huawei-cloud-apig-instance-managementhuaweicloud/huaweicloud-skills | Skill | 59 | today | MIT | A | 206 | Claude Code, Codex |
| cloud-native-aws-serverlessj4flmao/agent-skills | Skill | 38 | 3d ago | MIT | A | 133 | Claude Code, Codex |
| cloud-native-azure-functionsj4flmao/agent-skills | Skill | 38 | 3d ago | MIT | A | 124 | Claude Code, Codex |