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-executiongit 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-execution)<a href="https://agentmods.dev/skills/testany-io/testany-agent-skills/testany-execution"><img src="https://agentmods.dev/badge/skills/testany-io/testany-agent-skills/testany-execution/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-execution"><img src="https://agentmods.dev/badge/skills/testany-io/testany-agent-skills/testany-execution.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 | $0.00035 | $0.01966 |
| Opus 5 | $0.00017 | $0.00983 |
| Sonnet 5 | $0.00007 | $0.00393 |
| Haiku 4.5 | $0.00003 | $0.00197 |
Grade A, and why
testany-execution 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 — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Testany Execution Operations
管理 Testany 平台上的 execution，包括进度观测、历史查询、状态刷新、取消和失败交接。
用户输入: $ARGUMENTS
先统一心智模型
在开始之前，先按 automation-model.md 理解边界：
pipeline是执行与编排单元trigger负责“怎么发起执行”，包括长期入口和即时运行- 本 skill 负责“执行发起之后怎么管理 execution”
- 失败 execution 的根因分析属于
testany-debug
重要结论：
- 本 skill 不负责创建 Plan / Manual Trigger / Gatekeeper
- 本 skill 也不负责即时发起一次执行；这属于
testany-trigger - 本 skill 关注 execution lifecycle：看、查、刷、停、交接
职责范围
- 查看 execution 详情与 case 级结果
- 列出/搜索 execution 历史
- 刷新 execution 状态
- 轮询等待 execution 进入终态
- 取消尚未开始的 execution
- 汇总执行结果并决定是否转给
testany-debug - 在需要时获取 execution case 详情与日志签名入口
操作速查
| 用户意图 | 操作类型 | MCP 工具 |
|---|---|---|
| 列出执行记录 | Read | testany_list_executions |
| 查看执行详情 | Read | testany_get_execution |
| 查看某个 case 在执行中的详情 | Read | testany_get_execution_case |
| 刷新执行状态 | Update | testany_refresh_execution |
| 取消未开始执行 | Update | testany_cancel_execution |
| 获取工作空间执行状态汇总 | Read | testany_get_workspace_execution_status |
| 获取可筛选状态值 | Read | testany_filter_execution_status |
| 获取有执行记录的 pipelines | Read | testany_filter_execution_pipelines |
| 获取日志签名 | Read | testany_log_sign |
核心知识
执行状态
| 状态 | 值 | 含义 | 是否终态 |
|---|---|---|---|
| NOT_STARTED | -1 | 未开始/排队中（等待并发槽位） | 否 |
| RUNNING | 0 | 执行中 | 否 |
| SUCCESS | 1 | 全部通过 | 是 |
| FAILURE | 2 | 有失败 | 是 |
| SKIPPED | 3 | 跳过（仅 Case） | 是 |
| FAIL_AS_EXPECTED | 4 | 预期失败（仅 Case） | 是 |
| CANCELLED | 5 | 已取消 | 是 |
| ERROR | 99 | 系统错误 | 是 |
Workspace 队列状态
Testany 使用 workspace 级并发槽位（Redis semaphore）控制 execution 并行度。通过 testany_get_workspace_execution_status 可获取：
| 字段 | 含义 |
|---|---|
limit |
workspace 并发上限（Community=2, Paid=4, Enterprise=8，可调） |
claimed |
正在执行的 execution key 列表（已占据槽位） |
pending |
排队中的 execution key 列表（等待槽位） |
当用户的 execution 状态为 NOT_STARTED 且长时间不变时，应主动查询队列状态：
claimed数量 =limit→ 槽位已满，该 execution 在pending中排队claimed中有长时间运行的旧 execution → 旧执行占住了槽位
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 · 234 lines · 35 tokens per session scan A f2d152152b0d
testany-execution is a skill published in the GitHub repository TestAny-io/testany-agent-skills (81 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 1,966 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 2026-08-30.
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