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-pts-managegit 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-pts-manage)<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-pts-manage"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-pts-manage/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-pts-manage"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-pts-manage.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 Data Exfiltration · line 55 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00047 | $0.01205 |
| Opus 5 | $0.00023 | $0.00602 |
| Sonnet 5 | $0.00009 | $0.00241 |
| Haiku 4.5 | $0.00005 | $0.00120 |
Grade A, and why
aliyun-pts-manage 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Category: service
Alibaba Cloud Performance Testing Service (PTS)
Purpose
Use Alibaba Cloud PTS OpenAPI to support:
- test scene inventory and inspection
- pressure test planning and lifecycle automation
- report and metrics retrieval for verification and troubleshooting
Prerequisites
- Configure least-privilege Alibaba Cloud credentials.
- Install Python SDKs (virtual environment recommended):
python3 -m venv .venv
. .venv/bin/activate
python -m pip install -U alibabacloud_pts20201020 alibabacloud_tea_openapi
- Prefer environment variables:
ALIBABACLOUD_ACCESS_KEY_IDALIBABACLOUD_ACCESS_KEY_SECRET- optional
ALIBABACLOUD_REGION_ID
- Before mutating operations, run read-only API discovery and current-state checks.
AccessKey Priority
- Environment variables:
ALIBABACLOUD_ACCESS_KEY_ID/ALIBABACLOUD_ACCESS_KEY_SECRET/ALIBABACLOUD_REGION_ID - Shared credentials file:
~/.alibabacloud/credentials
If region/environment is unclear, confirm with user before mutating operations.
Workflow
- Identify target region, test scene identifiers, and operation scope.
- Run API discovery to confirm API names and required parameters.
- Execute read-only APIs first (
List*/Get*/Describe*). - Execute mutating operations only after confirming rollback and change window.
- Save outputs and evidence to
output/aliyun-pts-manage/.
API Discovery
- Product code:
PTS - Default API version:
2020-10-20 - Metadata source:
https://api.aliyun.com/meta/v1/products/PTS/versions/2020-10-20/api-docs.json
Minimal Executable Quickstart
python skills/observability/pts/aliyun-pts-manage/scripts/list_openapi_meta_apis.py
Optional arguments:
python skills/observability/pts/aliyun-pts-manage/scripts/list_openapi_meta_apis.py \
--product-code PTS \
--version 2020-10-20 \
--output-dir output/aliyun-pts-manage
List scenes (read-only):
python skills/observability/pts/aliyun-pts-manage/scripts/list_pts_scenes.py \
--region cn-hangzhou \
--page-number 1 \
--page-size 10 \
--output output/aliyun-pts-manage/scenes.txt
What ships with it
9 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 232 B
- references/api_quick_map.md 1.4 KB
- references/sources.md 430 B
- references/templates.md 2.2 KB
- scripts/_pts_client.py 1.7 KB runs code
- scripts/list_openapi_meta_apis.py 2.4 KB runs code
- scripts/list_pts_scenes.py 2.3 KB runs code
- scripts/start_pts_scene.py 2.6 KB runs code
- scripts/stop_pts_scene.py 2.6 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 · 146 lines · 47 tokens per session scan A f81d187607d7
aliyun-pts-manage is a skill published in the GitHub repository cinience/alicloud-skills (396 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 1,205 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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