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-functiongraph-trigger-creategit 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-functiongraph-trigger-create)<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-functiongraph-trigger-create"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-functiongraph-trigger-create/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-functiongraph-trigger-create"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-functiongraph-trigger-create.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00129 | $0.02568 |
| Opus 5.5 | $0.00052 | $0.01027 |
| Sonnet 5.5 | $0.00026 | $0.00514 |
| Haiku 4.5 | $0.00013 | $0.00257 |
Grade A, and why
huawei-cloud-functiongraph-trigger-create 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 18d 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 — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
This skill enables the creation and configuration of scheduled triggers (TIMER type) for Huawei Cloud FunctionGraph functions. It supports Quartz Cron expression format for flexible scheduling configurations.
The trigger allows automatic execution of serverless functions at specified time intervals, making it ideal for:
- Periodic data processing tasks
- Scheduled backup operations
- Regular monitoring and health checks
- Time-based notification systems
Prerequisites
Before using this skill, ensure the following requirements are met:
- Python Environment: Python 3.9+ installed
- SDK Installation: Install FunctionGraph SDK:
pip install huaweicloudsdkfunctiongraph - Environment Variables: Configure the following environment variables:
HUAWEI_AK: Huawei Cloud Access KeyHUAWEI_SK: Huawei Cloud Secret KeyHUAWEI_REGION: Target region (e.g.,cn-north-4)HUAWEI_PROJECT_ID: Project ID
- FunctionGraph Function: Target function must already exist in the specified region
- Network Access: Stable network connection to Huawei Cloud API endpoints
Workflow（工作流）
The complete workflow for creating a scheduled TIMER trigger consists of the following steps:
Step 1: Load environment variables and authenticate（加载环境变量/鉴权）
The script reads the following environment variables at startup:
HUAWEI_AK: Huawei Cloud Access Key (required)HUAWEI_SK: Huawei Cloud Secret Key (required)HUAWEI_REGION: Target region, defaults tocn-north-4HUAWEI_PROJECT_ID: Project ID
If HUAWEI_AK or HUAWEI_SK is missing, the script prints Config error: Please set environment variables HUAWEI_AK and HUAWEI_SK and exits before any API call.
Step 2: Confirm the target function URN（确认 function_urn）
Pass the target function URN via --function-urn, e.g. urn:fss:cn-north-4:project_id:function:default:my-function:latest. Before creating the trigger, the script verifies that the function exists by calling ShowFunctionConfig. If the function is not found, it returns FunctionNotFound and stops without creating anything.
What ships with it
8 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/acceptance-criteria.md 8.0 KB
- references/cron-reference.md 2.7 KB
- references/iam-policies.md 8.4 KB
- references/sdk-installation-guide.md 5.0 KB
- references/verification-method.md 9.4 KB
- scripts/create_trigger.py 11 KB runs code
- scripts/simple_timer_func.py 303 B runs code
- scripts/timer_func_code.py 303 B 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.
- 18d ago Changed · +49 lines 2115d7aaa127
- 1mo ago First seen · 238 lines · 129 tokens per session scan A 397ffc1551cd
huawei-cloud-functiongraph-trigger-create is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (59 stars, last pushed yesterday), licensed MIT. It adds 129 tokens to every session and 2,568 once invoked, about $0.0005 per session on Opus 5.5. 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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