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 huaweicloud/huaweicloud-skills --skill huawei-cloud-flexus-l-server-openclaw-deploymentgit clone --depth 1 https://github.com/huaweicloud/huaweicloud-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/huaweicloud/huaweicloud-skills/huawei-cloud-flexus-l-server-openclaw-deployment)<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-flexus-l-server-openclaw-deployment"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-flexus-l-server-openclaw-deployment/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/huaweicloud/huaweicloud-skills/huawei-cloud-flexus-l-server-openclaw-deployment"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-flexus-l-server-openclaw-deployment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, 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 Data Exfiltration · line 188 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.
- medium Data Exfiltration · line 213 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.
- medium Data Exfiltration · line 316 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 | $0.00125 | $0.05066 |
| Opus 5 | $0.00063 | $0.02533 |
| Sonnet 5 | $0.00025 | $0.01013 |
| Haiku 4.5 | $0.00013 | $0.00507 |
Grade A, and why
huawei-cloud-flexus-l-server-openclaw-deployment 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 12d 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 — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚠️ Security Execution Rules (Highest Priority):
- All scripts MUST be executed via skill action=exec, NEVER run directly in shell
- NEVER print script contents or commands containing AK/SK/Token in conversation
- NEVER create temporary script files, prefer inline execution (python -c)
- On execution failure, only return error info, do NOT rewrite scripts or print full commands
- AK/SK/Token MUST be passed via environment variables, NEVER appear in conversation
- ABSOLUTELY NEVER expose, log, or print AK/SK/Token values in any form - this is a critical security requirement
- When using skill action=exec, credentials are automatically inherited from environment variables (HW_ACCESS_KEY, HW_SECRET_KEY, HW_SECURITY_TOKEN), no need to pass them as command line arguments
huawei-cloud-flexus-l-server-openclaw-deployment
Overview
This skill supports one-click deployment of the OpenClaw AI Agent platform to Huawei Cloud Flexus L Instance. It provides a complete OpenClaw instance management workflow, from initial deployment to post-deployment configuration, including:
- Automated instance creation
- Model installation via COC (Cloud Operations Center)
- Channel installation via COC (WeCom, Feishu, DingTalk, QQ)
- Automatic prerequisite checks before installation (Gateway and UniAgent status)
Use Cases
| Scenario | Description |
|---|---|
| Enterprise AI Assistant Setup | Enterprises need to quickly deploy an AI Agent platform for internal Q&A, customer service, etc. |
| Multi-Channel Bot Integration | Need to integrate multiple messaging channels (WeCom, Feishu, DingTalk) into a unified AI assistant |
| Quick LLM Integration | Existing OpenClaw instance needs to quickly switch or add different LLMs (DeepSeek, Qwen, etc.) |
| Automated Operations Deployment | Need to automatically batch deploy OpenClaw instances to multiple regions via scripts |
Typical Use Cases
User may say:
- "I want to install OpenClaw on a Flexus L instance"
- "I want to configure DeepSeek model on my deployed OpenClaw"
- "Help me deploy OpenClaw with Feishu channel configured"
What ships with it
11 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.
- references/iam-policies.md 2.4 KB
- references/verification-method.md 4.9 KB
- scripts/caller.py 8.0 KB runs code
- scripts/channels.py 7.9 KB runs code
- scripts/deploy.py 4.2 KB runs code
- scripts/gateway.py 3.0 KB runs code
- scripts/lib.py 54 KB runs code
- scripts/models.py 7.9 KB runs code
- scripts/pyproject.toml 442 B
- scripts/uniagent.py 2.8 KB runs code
- scripts/utils.py 3.9 KB runs code
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.
- 12d ago First seen · 350 lines · 125 tokens per session scan A 68ecb7e1446b
huawei-cloud-flexus-l-server-openclaw-deployment is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (49 stars, last pushed yesterday), licensed MIT. It adds 125 tokens to every session and 5,066 once invoked, about $0.0006 per session on Opus 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.
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