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-optv-solver-assistantgit 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-optv-solver-assistant)<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-optv-solver-assistant"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-optv-solver-assistant/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-optv-solver-assistant"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-optv-solver-assistant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00141 | $0.06009 |
| Opus 5.5 | $0.00056 | $0.02404 |
| Sonnet 5.5 | $0.00028 | $0.01202 |
| Haiku 4.5 | $0.00014 | $0.00601 |
Grade B, and why
huawei-cloud-optv-solver-assistant scanned grade B with 2 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 5d 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.
Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
1. If the credentials file does not exist, the agent creates the empty template directly (keys only, empty values) — do NOT write real credential values; the user fills them in manually. No need to run any script to gene Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- Avoid PowerShell piping for hcloud output (BOM issues) — use `subprocess.run()` in Python How it starts
The opening of the file, as written. The whole thing — 471 lines — stays where its author put it; the contents beside it link to each section on GitHub.
1. Overview
This skill guides an AI agent through the OptVerse (天筹) decision engine workflow to solve mathematical programming problems. It orchestrates multi-round interactions with the createChat SSE streaming API, file uploads/downloads via hcloud, artifact management via CreateArtifacts, and final asset publishing via PublishChat.
1.1 Architecture
User Agent OptVerse Service
| | |
| Requirement file | |
|----------------------->| |
| | UploadFile (hcloud) |
| |--------------------------->|
| | chat_id |
| |<---------------------------|
| | |
| | createChat Round 1 (SSE) |
| | domain_type + filenames |
| |--------------------------->|
| | type=file artifacts |
| |<---------------------------|
| | DownloadFile artifacts |
| |<---------------------------|
| Confirm artifacts | |
|<----------------------->| |
| | CreateArtifacts |
| | createChat "确认" (SSE) |
| | agent_role=Common |
| |--------------------------->|
| | ... repeat per stage ... |
| | |
| | UploadFile (xlsx data) |
| | createChat "数据检查" |
| |--------------------------->|
| | |
| | CreateArtifacts(solver) |
| | CreateArtifacts(report) |
| | PublishChat |
| |--------------------------->|
| | published asset ID |
| |<---------------------------|
What ships with it
10 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.
- demo/example-workflow.json 5.3 KB
- references/acceptance-criteria.md 4.8 KB
- references/api-reference.md 6.0 KB
- references/best-practices.md 10.0 KB
- references/cli-installation-guide.md 3.1 KB
- references/iam-policies.md 2.5 KB
- references/verification-method.md 3.9 KB
- references/workflow-design.md 6.0 KB
- scripts/create_chat.py 24 KB runs code
- scripts/run_workflow.py 35 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.
- 5d ago Changed · +2 lines scan A → B 77cfc7e992c3
- 15d ago Changed · +8 lines b7bbd696b25f
- 24d ago First seen · 461 lines · 141 tokens per session scan A 9b395551b5de
huawei-cloud-optv-solver-assistant is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (53 stars, last pushed today), licensed MIT. It adds 141 tokens to every session and 6,009 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it B with 2 findings (unrestricted tool access, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-21.
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