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-platform-docs-reviewgit 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-platform-docs-review)<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-platform-docs-review"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-platform-docs-review/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-platform-docs-review"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-platform-docs-review.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 | $0.00056 | $0.00563 |
| Opus 5 | $0.00028 | $0.00282 |
| Sonnet 5 | $0.00011 | $0.00113 |
| Haiku 4.5 | $0.00006 | $0.00056 |
Grade A, and why
aliyun-platform-docs-review 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alibaba Cloud Product Docs + API Docs Reviewer
Use this skill when the user gives a product name and asks for an end-to-end documentation/API quality review.
What this skill does
- Resolve product from latest OpenAPI metadata.
- Fetch latest API docs for default version.
- Discover product/help-doc links from official product page.
- Produce a structured review report with:
- score
- evidence
- prioritized suggestions (P0/P1/P2)
Workflow
Run the bundled script:
python skills/platform/docs/aliyun-platform-docs-review/scripts/review_product_docs_and_api.py --product "<product name or product code>"
Example:
python skills/platform/docs/aliyun-platform-docs-review/scripts/review_product_docs_and_api.py --product "ECS"
Output policy
All generated artifacts must be written under:
output/aliyun-platform-docs-review/
For each run, the script creates:
review_evidence.jsonreview_report.md
Reporting guidance
When answering the user:
- State resolved product + version first.
- Summarize the score and the top 3 issues.
- List P0/P1/P2 recommendations with concrete actions.
- Provide source links used in the report.
Validation
mkdir -p output/aliyun-platform-docs-review
for f in skills/platform/docs/aliyun-platform-docs-review/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-platform-docs-review/validate.txt
Pass criteria: command exits 0 and output/aliyun-platform-docs-review/validate.txt is generated.
Output And Evidence
- Save artifacts, command outputs, and API response summaries under
output/aliyun-platform-docs-review/. - Include key parameters (region/resource id/time range) in evidence files for reproducibility.
Prerequisites
- Configure least-privilege Alibaba Cloud credentials before execution.
- Prefer environment variables:
ALIBABACLOUD_ACCESS_KEY_ID,ALIBABACLOUD_ACCESS_KEY_SECRET, optionalALIBABACLOUD_REGION_ID. - If region is unclear, ask the user before running mutating operations.
What ships with it
3 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 · 81 lines · 56 tokens per session scan A ce62be1af0ca
aliyun-platform-docs-review is a skill published in the GitHub repository cinience/alicloud-skills (396 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 563 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 2026-09-03.
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