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-ges-graphgit 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-ges-graph)<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-ges-graph"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-ges-graph/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-ges-graph"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-ges-graph.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Privilege Escalation · line 374 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00064 | $0.03940 |
| Opus 5 | $0.00032 | $0.01970 |
| Sonnet 5 | $0.00013 | $0.00788 |
| Haiku 4.5 | $0.00006 | $0.00394 |
Grade A, and why
huawei-cloud-ges-graph 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 — 446 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚠️ Execution Method (Must Read): This skill executes queries via local Python or Node.js scripts under
scripts/. Using direct API calls is prohibited.
- Query scripts are located under the skill directory
scripts/(e.g.,scripts/ges_graph_skill.py)- All scripts and environment check scripts are inside the skill package. You must use
skill action=execto execute them; do not run them directly in the shell- Prefer inline execution (
python -cornode -e) over creating temporary script files. See "Inline Execution (No Temp Files)" section below.- All paths are relative to the skill directory, which is the directory where this SKILL.md resides
GES Graph Access Guidance
Overview
Huawei Cloud Graph Engine Service (GES) persistent edition atomic capability, providing access guide for graph database operations. Covers Cypher queries, GQL queries, schema/label management, summary info queries, graph data editing and other core capabilities.
Directory Structure
The directory conventions are as follows (all paths are relative to the skill directory):
scripts/- Contains the Python and Node.js execution scriptsges_graph_skill.py- Python SDK for GES graph operationsges_graph_skill.js- Node.js SDK for GES graph operations
references/- Contains documentation and configuration examplesges_env.csv.example- Environment configuration template
Prerequisites
Before using this skill, ensure the following conditions are met:
1. Runtime Environment
Supports Python or Node.js runtime. Requires Python 3.8+ or Node.js 14+.
2. Graph Instance Configuration
This skill supports both environment variables and configuration files. Environment variables take precedence over configuration files.
Environment Variables and Parameters
| Environment Variable | Description | Required |
|---|---|---|
GES_GRAPH_IP |
GES service IP | Yes |
GES_GRAPH_PORT |
GES service port | Yes |
GES_PROJECT_ID |
Project ID | Yes |
GES_GRAPH_NAME |
Graph name | Yes |
GES_IAM_URL |
IAM service URL | Yes |
GES_REGION |
Region | Yes |
HUAWEI_CLOUD_AK |
Access Key | Yes* |
HUAWEI_CLOUD_SK |
Secret Key | Yes* |
GES_USERNAME |
Username | Conditional** |
GES_PASSWORD |
Password | Conditional** |
GES_DOMAIN_NAME |
Domain name | Conditional** |
GES_TOKEN |
Token (highest priority) | Optional |
What ships with it
4 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.
- 12d ago First seen · 446 lines · 64 tokens per session scan A bdba7d2f0507
huawei-cloud-ges-graph is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (49 stars, last pushed yesterday), licensed MIT. It adds 64 tokens to every session and 3,940 once invoked, about $0.0003 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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