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在 OpenClaw 中安装
/install jarvis-ci-flake-hunter-01
功能描述
Track and reduce flaky tests with deterministic isolation. Use when handling development work that needs repeatable steps, quality gates, and practical outputs.
使用说明 (SKILL.md)
Jarvis Ci Flake Hunter 01
Deliver a concrete, reusable workflow for development tasks.
Inputs
- Desired outcome and deadline
- Constraints (time, tools, risk tolerance)
- Available artifacts (code, docs, screenshots, logs)
Playbook
- Define success and failure criteria in measurable terms.
- Build a smallest-valid execution path before scaling effort.
- Execute in checkpoints; record evidence at each checkpoint.
- Apply quality gates before finalizing recommendations.
- Return implementation-ready outputs and next actions.
Quality Gates
- Evidence-backed claims only.
- Explicit assumptions and tradeoffs.
- Reversible changes preferred for risky operations.
- Clear owner + ETA for each next step.
- Include a fallback if the primary plan fails.
Output Format
- Situation summary (5 lines max)
- Top findings (ranked by impact)
- Action plan (today / this week)
- Risks + mitigations
- Exact checklist or commands where useful
Example prompts
- "Use this skill to turn my messy notes into a production-ready plan."
- "Run this skill and give me a risk-first action sequence with acceptance checks."
安全使用建议
This skill is safe from a permissions perspective — it only contains a generic playbook and asks for inputs you would provide. Be aware it will not itself run CI jobs or perform deterministic isolation; if you need automated flake detection or CI integration, look for a skill that explicitly lists CI commands, required CI tokens, or test-runner integrations. Avoid supplying secrets or CI tokens to the agent unless you trust it and have audited the skill; if you plan to let the agent act on repositories or CI systems, test in a sandboxed environment first and verify any generated commands before running them.
功能分析
Type: OpenClaw Skill
Name: jarvis-ci-flake-hunter-01
Version: 1.0.0
The skill bundle defines a structured workflow for an AI agent to assist with development tasks, specifically tracking and reducing flaky tests. The `SKILL.md` provides clear instructions for planning, analysis, and output formatting, including quality gates that promote safe practices (e.g., 'Reversible changes preferred for risky operations'). There are no instructions for data exfiltration, unauthorized execution, persistence, or prompt injection against the agent to subvert its purpose. The mention of 'Exact checklist or commands where useful' in the output format is a functional aspect of providing actionable plans, not an instruction for malicious execution by the agent itself.
能力评估
Purpose & Capability
The skill's name and description claim 'Track and reduce flaky tests with deterministic isolation', but the SKILL.md is a generic development playbook (define success, checkpoints, quality gates, outputs) and contains no CI/test-specific commands, test isolation steps, or references to CI systems. This is likely fine for a human-guided planning assistant but may not meet expectations if you expected automated flake-detection or CI integration.
Instruction Scope
The runtime instructions are high-level guidance only; they do not tell the agent to read arbitrary system files, access environment variables, contact external endpoints, or execute commands. The agent may process any artifacts you explicitly provide (code, logs, screenshots), but the skill itself does not instruct unexpected data collection or transmission.
Install Mechanism
No install spec and no code files — lowest-risk model. Nothing is downloaded or written to disk by the skill manifest.
Credentials
The skill declares no required environment variables, credentials, or config paths. It does not request any secret or system access relative to its stated purpose.
Persistence & Privilege
always is false and there are no indications the skill modifies agent/system configuration or requests persistent presence. Autonomous invocation is enabled by default but not problematic here given the skill's benign footprint.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install jarvis-ci-flake-hunter-01 - 安装完成后，直接呼叫该 Skill 的名称或使用
/jarvis-ci-flake-hunter-01触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
常见问题
Jarvis Ci Flake Hunter 01 是什么？
Track and reduce flaky tests with deterministic isolation. Use when handling development work that needs repeatable steps, quality gates, and practical outputs. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 633 次。
如何安装 Jarvis Ci Flake Hunter 01？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install jarvis-ci-flake-hunter-01」即可一键安装，无需额外配置。
Jarvis Ci Flake Hunter 01 是免费的吗？
是的，Jarvis Ci Flake Hunter 01 完全免费（开源免费），可自由下载、安装和使用。
Jarvis Ci Flake Hunter 01 支持哪些平台？
Jarvis Ci Flake Hunter 01 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Jarvis Ci Flake Hunter 01？
由 xammarie（@xammarie）开发并维护，当前版本 v1.0.0。
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