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-openapi-discoverygit 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-openapi-discovery)<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-openapi-discovery"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-openapi-discovery/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-openapi-discovery"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-openapi-discovery.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 | $0.00073 | $0.00694 |
| Opus 5 | $0.00036 | $0.00347 |
| Sonnet 5 | $0.00015 | $0.00139 |
| Haiku 4.5 | $0.00007 | $0.00069 |
Grade A, and why
aliyun-openapi-discovery 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alibaba Cloud Product + API Discovery
Follow this workflow to collect products, resolve API metadata, and build summaries for skill planning.
Workflow
- Fetch product lists from the three sources
- Ticket System (ListProducts)
- Support & Service (ListProductByGroup)
- BSS OpenAPI (QueryProductList)
Run the bundled scripts (from this skill folder):
python scripts/products_from_ticket_system.py
python scripts/products_from_support_service.py
python scripts/products_from_bssopenapi.py
Provide required env vars in each script (see references).
- Merge product lists
python scripts/merge_product_sources.py
This writes output/product-scan/merged_products.json and .md.
- Fetch OpenAPI metadata product list
python scripts/products_from_openapi_meta.py
This writes output/product-scan/openapi-meta/products.json and products_normalized.json.
- Fetch OpenAPI API docs per product/version
python scripts/apis_from_openapi_meta.py
By default this can be large. Use filters for dry runs:
OPENAPI_META_MAX_PRODUCTS=10OPENAPI_META_PRODUCTS=Ecs,OnsOPENAPI_META_VERSIONS=2014-05-26
- Join products with API counts
python scripts/join_products_with_api_meta.py
- Summarize products by category/group
python scripts/summarize_openapi_meta_products.py
- (Optional) Compare products vs existing skills
python scripts/analyze_products_vs_skills.py
Output discipline
All generated files must go under output/. Do not place temporary files elsewhere.
Validation
mkdir -p output/aliyun-openapi-discovery
for f in skills/platform/openapi/aliyun-openapi-discovery/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-openapi-discovery/validate.txt
Pass criteria: command exits 0 and output/aliyun-openapi-discovery/validate.txt is generated.
Output And Evidence
- Save artifacts, command outputs, and API response summaries under
output/aliyun-openapi-discovery/. - Include key parameters (region/resource id/time range) in evidence files for reproducibility.
What ships with it
12 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.
- agents/openai.yaml 248 B
- references/openapi-meta.md 881 B
- references/product-sources.md 868 B
- scripts/analyze_products_vs_skills.py 3.0 KB runs code
- scripts/apis_from_openapi_meta.py 3.9 KB runs code
- scripts/join_products_with_api_meta.py 2.2 KB runs code
- scripts/merge_product_sources.py 4.7 KB runs code
- scripts/products_from_bssopenapi.py 3.8 KB runs code
- scripts/products_from_openapi_meta.py 1.9 KB runs code
- scripts/products_from_support_service.py 3.4 KB runs code
- scripts/products_from_ticket_system.py 2.9 KB runs code
- scripts/summarize_openapi_meta_products.py 2.7 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.
- 9d ago First seen · 106 lines · 73 tokens per session scan A a2d45ca41ecc
aliyun-openapi-discovery is a skill published in the GitHub repository cinience/alicloud-skills (396 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 694 once invoked, about $0.0004 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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