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-flexusagent-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-flexusagent-deployment)<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-flexus-l-server-flexusagent-deployment"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-flexus-l-server-flexusagent-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-flexusagent-deployment"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-flexus-l-server-flexusagent-deployment.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 YARA Match · line 3 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
- high Prompt Injection · line 365 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- medium Excessive Agency · line 224 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 232 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00128 | $0.04015 |
| Opus 5 | $0.00064 | $0.02008 |
| Sonnet 5 | $0.00026 | $0.00803 |
| Haiku 4.5 | $0.00013 | $0.00402 |
Grade A, and why
huawei-cloud-flexus-l-server-flexusagent-deployment scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl "https://flexus-config-cn-north-4-product.obs.cn-north-4.myhuaweicloud.com/stable/dify/dify-templates/national/index.json?timestamp=$(date +%s)" How it starts
The opening of the file, as written. The whole thing — 395 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 Instance FlexusAgent One-Click Deployment Skill (Lite)
Overview
Deploy AI Agent development platform (Dify) on Huawei Cloud Flexus L instance, providing complete deployment and operation capabilities.
Core Function Modules:
| Module | Function | Command |
|---|---|---|
| Deploy | One-click deploy AI Agent development platform on Flexus L instance | deploy |
| Password Change | Change development platform admin password via COC (must execute after first deployment) | passwd |
| MaaS Model Config | Add Huawei Cloud MaaS model provider, integrate DeepSeek, Qwen models | maas |
| Workflow View | View list of replicable AI Agent workflow templates | - |
| Workflow Import | Quickly import specified workflow to workspace | import-app-workflow |
Architecture
Core File Structure and Function Description:
scripts/
├── caller.py # CLI main entry, command line argument parsing and routing
├── lib.py # Core business logic library, includes API calls and data processing
├── deploy.py # Deployment module, creates Flexus L instance and FlexusAgent
├── passwd.py # Password management module, modifies admin password via COC
├── maas.py # MaaS integration module, configures model provider
├── app_workflow_import.py # Workflow import module, imports preset workflow templates
├── sg_rule.py # Security group management module, configures network access rules
├── uniagent.py # UniAgent status query module
└── utils.py # Utility function library
What ships with it
12 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 5.1 KB
- scripts/app_workflow_import.py 8.1 KB runs code
- scripts/caller.py 8.8 KB runs code
- scripts/deploy.py 5.9 KB runs code
- scripts/lib.py 72 KB runs code
- scripts/maas.py 2.8 KB runs code
- scripts/passwd.py 4.7 KB runs code
- scripts/pyproject.toml 1.6 KB
- scripts/sg_rule.py 1.3 KB runs code
- scripts/uniagent.py 3.5 KB runs code
- scripts/utils.py 3.7 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 · 395 lines · 128 tokens per session scan A 6908d9b8a214
huawei-cloud-flexus-l-server-flexusagent-deployment is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (49 stars, last pushed yesterday), licensed MIT. It adds 128 tokens to every session and 4,015 once invoked, about $0.0006 per session on Opus 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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