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-modelstudio-crawl-and-skillgit 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-modelstudio-crawl-and-skill)<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-modelstudio-crawl-and-skill"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-modelstudio-crawl-and-skill/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-modelstudio-crawl-and-skill"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-modelstudio-crawl-and-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium MCP Rug Pull · line 22 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00043 | $0.00536 |
| Opus 5 | $0.00022 | $0.00268 |
| Sonnet 5 | $0.00009 | $0.00107 |
| Haiku 4.5 | $0.00004 | $0.00054 |
Grade A, and why
aliyun-modelstudio-crawl-and-skill 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.
What it actually says
Category: task
Alibaba Cloud Model Studio Crawl and Skill Generation
Prerequisites
- Node.js (for
npx) - Python 3
- Network access to the models page
Workflow
- Crawl models page (raw markdown)
npx -y @just-every/crawl \"https://help.aliyun.com/zh/model-studio/models\" > alicloud-model-studio-models.md
- Rebuild summary (models + API/usage links)
python3 skills/ai/misc/aliyun-modelstudio-crawl-and-skill/scripts/refresh_models_summary.py
- Regenerate skills (creates/updates
skills/ai/**)
python3 skills/ai/misc/aliyun-modelstudio-crawl-and-skill/scripts/refresh_alicloud_skills.py
Outputs
alicloud-model-studio-models.md: raw crawl outputoutput/alicloud-model-studio-models-summary.md: cleaned summaryoutput/alicloud-model-studio-models.json: structured model listoutput/alicloud-model-studio-skill-scan.md: skill coverage reportskills/ai/**: generated skills
Notes
- Do not invent model IDs or API endpoints; only use links present on the models page.
- After regeneration, update
README.md,README.en.md, andREADME.zh-TW.mdif skills list changed.
Validation
mkdir -p output/aliyun-modelstudio-crawl-and-skill
for f in skills/ai/misc/aliyun-modelstudio-crawl-and-skill/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-modelstudio-crawl-and-skill/validate.txt
Pass criteria: command exits 0 and output/aliyun-modelstudio-crawl-and-skill/validate.txt is generated.
Output And Evidence
- Save artifacts, command outputs, and API response summaries under
output/aliyun-modelstudio-crawl-and-skill/. - Include key parameters (region/resource id/time range) in evidence files for reproducibility.
References
- Source list:
references/sources.md
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 · 69 lines · 43 tokens per session scan A 0198cd253a1e
aliyun-modelstudio-crawl-and-skill is a skill published in the GitHub repository cinience/alicloud-skills (396 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 536 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 2026-08-30.
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