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 cinience/alicloud-skills --skill aliyun-fc-agentrungit clone --depth 1 https://github.com/cinience/alicloud-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/cinience/alicloud-skills/aliyun-fc-agentrun)<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-fc-agentrun"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-fc-agentrun/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/cinience/alicloud-skills/aliyun-fc-agentrun"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-fc-agentrun.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00046 | $0.00781 |
| Opus 5 | $0.00023 | $0.00391 |
| Sonnet 5 | $0.00009 | $0.00156 |
| Haiku 4.5 | $0.00005 | $0.00078 |
Grade A, and why
aliyun-fc-agentrun 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 9d 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Category: service
Function Compute AgentRun (OpenAPI)
Use AgentRun OpenAPI (ROA) to manage runtimes, sandboxes, model services, memory, and credentials.
Prerequisites
- AccessKey via RAM user (least privilege).
- Select the correct regional endpoint (see
references/endpoints.md). If unsure, choose the most reasonable region for the task or ask the user. - Use OpenAPI Explorer or official SDK to avoid manual signing (ROA requires SignatureV1).
Workflow
- Choose region endpoint (
agentrun.cn-<region>.aliyuncs.com). - Create runtime → publish version → create runtime endpoint.
- Create sandbox/template if needed.
- Configure credentials and model services as required.
- Query resources for troubleshooting.
API Groups
See references/api_overview.md for the full API list and grouping.
Script quickstart
python skills/compute/fc/aliyun-fc-agentrun/scripts/quickstart.py
Environment variables:
AGENTRUN_ENDPOINTALIBABACLOUD_ACCESS_KEY_IDALIBABACLOUD_ACCESS_KEY_SECRETOUTPUT_DIR(optional)
Runtime flow script
AGENTRUN_RUNTIME_NAME="my-runtime" \\
AGENTRUN_RUNTIME_ENDPOINT_NAME="my-runtime-endpoint" \\
python skills/compute/fc/aliyun-fc-agentrun/scripts/runtime_flow.py
Environment variables:
AGENTRUN_ENDPOINTALIBABACLOUD_ACCESS_KEY_IDALIBABACLOUD_ACCESS_KEY_SECRETAGENTRUN_RUNTIME_NAMEAGENTRUN_RUNTIME_ENDPOINT_NAMEAGENTRUN_RUNTIME_DESC(optional)OUTPUT_DIR(optional)
Cleanup script
AGENTRUN_RUNTIME_ID="runtime-id" \\
AGENTRUN_RUNTIME_ENDPOINT_ID="endpoint-id" \\
python skills/compute/fc/aliyun-fc-agentrun/scripts/cleanup_runtime.py
Environment variables:
AGENTRUN_ENDPOINTALIBABACLOUD_ACCESS_KEY_IDALIBABACLOUD_ACCESS_KEY_SECRETAGENTRUN_RUNTIME_IDAGENTRUN_RUNTIME_ENDPOINT_IDOUTPUT_DIR(optional)
SDK Notes
See references/sdk.md for SDK acquisition guidance.
Output Policy
If you store any generated files or responses, write them under:
output/compute-fc-agentrun/.
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.
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.
- 9d ago First seen · 112 lines · 46 tokens per session scan A b745c607c3c7
aliyun-fc-agentrun is a skill published in the GitHub repository cinience/alicloud-skills (396 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 781 once invoked, about $0.0002 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 2026-09-03.
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