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 huaweicloud/huaweicloud-skills --skill huawei-cloud-cloudrobo-data-pipelinegit clone --depth 1 https://github.com/huaweicloud/huaweicloud-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/huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-data-pipeline)<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-data-pipeline"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-data-pipeline/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/huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-data-pipeline"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-data-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00190 | $0.19871 |
| Opus 5.5 | $0.00076 | $0.07948 |
| Sonnet 5.5 | $0.00038 | $0.03974 |
| Haiku 4.5 | $0.00019 | $0.01987 |
Grade A, and why
huawei-cloud-cloudrobo-data-pipeline 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 yesterday.
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 — 1,359 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CloudRobo Data Pipeline Orchestration Skill
For end-user walkthroughs of authoring, execution, Web pages and recovery, see the User Guide 用户指南.
Compose and run the user's selected operator workflow. The sim/teleop processing chain is an optional template. Agent orchestration uses CLI commands. The optional Web backend uses the Python SDK for platform queries and confirmed within-step task creation; the browser calls local HTTP APIs.
For “把本地数据提交数据管线” and other execution requests, keep input preparation inside
this run: confirm the full plan → init using the original local/OBS/asset source →
offer/open this run's monitor → prepare inputs with Asset Center → record-inputs → submit
ready tasks. Reading the asset skill early does not authorize importing before these steps.
Uploading creates an input asset; it does not turn this run's original source_type: local
into asset, or make its upload step skipped. Only assets already supplied for reuse at
the start of this run qualify for that not-applicable state.
Overview 概述
Pipeline Stages
Clarify input and goal → select operators and dependencies → validate compatible data handoffs → review/export → confirm execution → prepare input as needed → run the declared workflow → verify the selected data output and reports.
Only the built-in sim/teleop template uses Stage 0→5 below: parse → upload/register → convert → clean → evaluate → output. Custom workflows may consist entirely of preset operators, workspace algorithms, or a mixture; conversion, cleaning and evaluation are chosen according to the user's goal and the actual operator contracts.
Execution Modes
| Mode | User Intent Example | Stages |
|---|---|---|
| Built-in pipeline | "用遥操/仿真数据处理模板" (sim/teleop data processing template) | Stage 0→5 (load sim-teleop-cleaning.yaml template) |
| Guided custom creation / revision | "引导我创建自定义管线" / "清洗后加一步，不执行" | Collect choices → validate → export YAML + editable draft + preview; execute only if requested |
| Custom pipeline | User provides pipeline.yaml |
Parse and execute its declared operator DAG |
| Reuse existing data | "我已有处理后的数据，接两个空间算法" | Verify the input, then execute only the selected steps |
| Open monitoring | "打开监控网站" / "查看当前管线监控" | Open the existing real run or persisted run list directly; no pipeline creation or demo-mode interview |
What ships with it
39 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.
- references/acceptance-criteria.md 24 KB
- references/cli-installation-guide.md 11 KB
- references/custom-pipeline-authoring.md 25 KB
- references/dataflow-diagram.md 11 KB
- references/fault-recovery.md 15 KB
- references/iam-policies.md 9.5 KB
- references/pipeline-summary-template.md 9.5 KB
- references/pipeline-templates.md 33 KB
- references/task-config-catalog.md 27 KB
- references/user-guide.md 47 KB
- references/verification-method.md 23 KB
- references/web-monitor-test-report.md 30 KB
- references/web-monitor.md 49 KB
- scripts/custom_pipeline.py 33 KB runs code
- scripts/pipeline_state.py 56 KB runs code
- scripts/pipeline-monitor/monitor.py 40 KB runs code
- scripts/pipeline-monitor/sdk_adapter.py 14 KB runs code
- scripts/pipeline-monitor/server.py 26 KB runs code
- scripts/pipeline-monitor/static/actions.js 15 KB runs code
- scripts/pipeline-monitor/static/app.css 22 KB
- scripts/pipeline-monitor/static/app.js 8.2 KB runs code
- scripts/pipeline-monitor/static/bootstrap.js 1.4 KB runs code
- scripts/pipeline-monitor/static/common.js 6.6 KB runs code
- scripts/pipeline-monitor/static/details.js 15 KB runs code
- scripts/pipeline-monitor/static/index.html 1.6 KB
- scripts/pipeline-monitor/static/logs.js 4.5 KB runs code
- scripts/pipeline-monitor/static/manual.js 8.5 KB runs code
- scripts/pipeline-monitor/static/navigation.js 3.6 KB runs code
- scripts/pipeline-monitor/static/pipeline.js 20 KB runs code
- scripts/pipeline-monitor/static/preview.js 4.2 KB runs code
- scripts/pipeline-monitor/static/state.js 1.2 KB runs code
- scripts/pipeline-monitor/tests/eslint.config.mjs 2.8 KB runs code
- scripts/pipeline-monitor/tests/test_browser.mjs 64 KB runs code
- scripts/pipeline-monitor/tests/test_monitor.py 165 KB runs code
- scripts/platform_utils.py 5.7 KB runs code
- scripts/test-cli-commands.sh 8.2 KB runs code
- templates/monitor-plan.example.json 1.0 KB
- templates/sim-teleop-cleaning.yaml 6.6 KB
- templates/test-vars.json 18 KB
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.
- yesterday First seen · 1,359 lines · 190 tokens per session scan A 843fd9bb5759
huawei-cloud-cloudrobo-data-pipeline is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (59 stars, last pushed today), licensed MIT. It adds 190 tokens to every session and 19,871 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-11-05.
huawei-cloud-cloudrobo-data-pipeline compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| huawei-cloud-cloudrobo-data-pipelinehuaweicloud/huaweicloud-skills | Skill | 59 | today | MIT | A | 190 | Claude Code, Codex |
| rocketride-building-pipelinesrocketride-org/rocketride-server | Skill | 20k | today | MIT | A | 66 | Claude Code, Codex |
| rocketride-configuring-pipelinesrocketride-org/rocketride-server | Skill | 20k | today | MIT | A | 47 | Claude Code, Codex |
| rocketride-designing-pipelinesrocketride-org/rocketride-server | Skill | 20k | today | MIT | A | 49 | Claude Code, Codex |
| rocketride-running-pipelinesrocketride-org/rocketride-server | Skill | 20k | today | MIT | A | 48 | Claude Code, Codex |
| rocketride-debugging-pipelinesrocketride-org/rocketride-server | Skill | 20k | today | MIT | A | 67 | Claude Code, Codex |
| ray-datasynthetic-sciences/openscience | Skill | 4.3k | 2d ago | Apache-2.0 | A | 70 | Claude Code, Codex |