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 TestAny-io/testany-agent-skills --skill testany-pipelinegit clone --depth 1 https://github.com/TestAny-io/testany-agent-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/testany-io/testany-agent-skills/testany-pipeline)<a href="https://agentmods.dev/skills/testany-io/testany-agent-skills/testany-pipeline"><img src="https://agentmods.dev/badge/skills/testany-io/testany-agent-skills/testany-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/testany-io/testany-agent-skills/testany-pipeline"><img src="https://agentmods.dev/badge/skills/testany-io/testany-agent-skills/testany-pipeline.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 | $0.00029 | $0.02414 |
| Opus 5 | $0.00015 | $0.01207 |
| Sonnet 5 | $0.00006 | $0.00483 |
| Haiku 4.5 | $0.00003 | $0.00241 |
Grade A, and why
testany-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 11d 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 — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Testany Pipeline
本 skill 通过 Testany MCP 工具管理 Testany 平台上的 pipeline。 所有操作都是对 Testany 平台的远程 API 调用，不涉及本地文件系统。
关键前提：
- pipeline 是 Testany 的执行与编排单元
- Testany 不支持直接执行单条 case
- trigger 只是 pipeline 的执行入口，不是编排层
用户输入: $ARGUMENTS
宿主能力适配
- 优先使用宿主提供的结构化提问工具（如 AskUserQuestion）一次性收集缺失信息。
- 如果宿主不支持该工具，则用一条普通消息集中提问相同问题；低风险字段可给出默认值建议。
- 如果宿主支持 slash command，可推荐相关 workflow 的命令入口；否则直接在当前线程继续对应 workflow。
先统一心智模型
使用本 skill 前，先按 automation-model.md 理解边界：
- 上游给出的通常是 traditional test scenario
testany-case-writing负责把它拆成 platform cases- 本 skill 负责把这些 platform cases 编排成 pipeline
testany-trigger负责为 pipeline 配置Plan / Manual Trigger / Gatekeeper
重要结论：
- 本 skill 的主输入不应该是“让我从 case 描述里猜业务流程”
- 本 skill 的主输入应该是上游明确给出的 automation design / decomposition
上游输入优先级
按以下优先级选择输入模式：
-
Primary：automation design / decomposition
- 来自
testany-case-writing - 最好是基于 approved Test Spec 的
Testany Automation Handoff生成 - 已明确 case inventory、依赖关系、relay map、是否有分支
- 来自
-
Secondary：用户明确给出的 case keys + 依赖描述
- 例如“用 A1B2C3D4 先登录，再用 E5F6A7B8 查询”
-
Fallback：从现有 case metadata 反推
- 只在前两者都没有时使用
- 必须把结果回显给用户确认
- 不能把“猜出来的流程”当主路径
操作速查
| 用户意图 | 操作类型 | 工具 |
|---|---|---|
| 创建新 pipeline | Create | testany_create_pipeline |
| 查看 pipeline 详情 | Read | testany_get_pipeline |
| 查看 pipeline YAML | Read | testany_get_pipeline_yaml |
| 搜索/列出 pipelines（按 workspace） | Read | testany_list_pipelines |
| 列出我的 pipelines（按 workspace） | Read | testany_list_my_pipelines |
| 修改 pipeline 配置 | Update | testany_update_pipeline |
| 删除 pipeline | Delete | testany_get_pipeline_used_by → testany_delete_pipeline |
| 验证 YAML 语法 | Validate | testany_verify_pipeline |
| 检查被引用情况 | Query | testany_get_pipeline_used_by |
Create（创建）
Phase 0: 先判断输入模式
Primary：已有 automation design / decomposition
如果上游已给出以下内容，直接按它编排：
- platform case inventory
- 每个 case 的职责
source_case_ids/scenario_group（若来自 Test Spec handoff）- dependencies
- relay map
- 是否有
whenFailed/expect: fail
What ships with it
5 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.
- 11d ago First seen · 290 lines · 29 tokens per session scan A 1b82d94e83c2
testany-pipeline is a skill published in the GitHub repository TestAny-io/testany-agent-skills (82 stars, last pushed 3d ago), licensed MIT. It adds 29 tokens to every session and 2,414 once invoked, about $0.0001 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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