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Agent Skill · 研究检索

antithesis-research(对立研究)

antithesis-research 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

antithesis-research 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 32,156。

总安装 2,569周安装 106GitHub Stars 44下载 840核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:antithesis-research(对立研究)
来源仓库:https://github.com/antithesishq/antithesis-skills
仓库路径:skills/antithesis-research
安装命令:
npx skills add https://github.com/antithesishq/antithesis-skills --skill antithesis-research
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/antithesishq/antithesis-skills --skill antithesis-research

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于对目标系统进行架构研究和属性梳理,生成测试所需的基础材料。适合在 Codex、Claude、Cursor、Gemini CLI 中建立系统理解与测试策略。成功标志是产出 scratchbook 目录下的分析文档和属性清单。

安装命令:npx skills add https://github.com/antithesishq/antithesis-skills --skill antithesis-research。注意确认权限范围,避免触发联网或文件写入操作。

来源仓库内路径:skills/antithesis-research

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/antithesishq/antithesis-skills --skill antithe…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

antithesis-research 怎么安装?

在终端执行 npx skills add https://github.com/antithesishq/antithesis-skills --skill antithesis-resear…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

antithesis-research 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

antithesis-research 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

antithesis-research 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

antithesis-research 用的人多吗?

公开数据是累计安装 2,569 次,近一周安装 106 次,下载 840 次,GitHub 44 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

antithesis-research 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
antithesis-research

对立研究 · 本页

2,56944需要联网未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Antithesis Research

Purpose and Goal

Research a target system and produce scratchbook artifacts that unblock the rest of the workflow. Success means:

  • antithesis/scratchbook/sut-analysis.md captures architecture, state, concurrency, and failure-prone areas
  • antithesis/scratchbook/property-catalog.md lists concrete, testable properties with priorities
  • antithesis/scratchbook/deployment-topology.md describes the minimal useful container topology
  • antithesis/scratchbook/properties/{slug}.md captures per-property evidence trails and context
  • antithesis/scratchbook/property-relationships.md maps suspected clusters and connections between properties
  • antithesis/scratchbook/evaluation/synthesis.md records categorized evaluation findings and actions taken

Prerequisites and Scoping

Start from the repo, checked-in docs, and existing scratchbook files first. Ask the user only for blockers or scoping decisions you cannot infer safely, such as:

  • The repo or codebase location, if it is not already clear
  • Which subsystem or component matters most, if the work is narrower than the whole repo
  • Known incidents, closed bugs, or specific failure modes worth targeting
  • External documentation, issue trackers, or design docs not present in the repo

If scratchbook artifacts already exist, treat them as inputs and extend them instead of rewriting them unless the user asks for a fresh pass.

Definitions and Concepts

  • SUT: System under test.
  • Workload: A synthetic workload designed to exercise the target system
  • Safety property (correctness): A bad thing never happens
  • Liveness property (progress): A good thing eventually happens
  • Reachability property: A code path or behavior is reachable or unreachable
  • Test Template: A directory of test commands located at /opt/antithesis/test/v1/{name}/. There may be more than one test template. Each timeline executes commands from a single test template. Files or subdirectories prefixed with helper_ are ignored by Antithesis.
  • Test Command: An executable file in a Test Template with a valid prefix. Valid prefixes: parallel_driver_, singleton_driver_, serial_driver_, first_, eventually_, finally_, anytime_
  • Timeline: A single linear execution of the target system and workload. Antithesis runs many timelines in parallel and branches them to search for interesting behaviors.

Documentation Grounding

Use the antithesis-documentation skill to ground Antithesis-specific terminology and implementation advice.

  • Properties and assertions: https://antithesis.com/docs/properties_assertions/assertions.md
  • Sometimes assertions: https://antithesis.com/docs/best_practices/sometimes_assertions/
  • Define test properties: https://antithesis.com/docs/using_antithesis/sdk/define_test_properties/
  • SDK runtime modes and production behavior: https://antithesis.com/docs/using_antithesis/sdk/
  • Optimize for testing: https://antithesis.com/docs/best_practices/optimizing.md

Reference Files

ReferenceWhen to read
references/scratchbook-setup.mdAlways — read first to initialize the workspace
references/sut-discovery.mdDiscovering system characteristics through structured attention focuses
references/sut-analysis.mdGeneral methodology for analyzing the codebase and understanding components
references/property-discovery.mdDiscovering properties through structured attention focuses
references/property-catalog.mdFormat and methodology for documenting properties
references/faults.mdUnderstanding fault types, quiet periods, and process fault availability
references/deployment-topology.mdDesigning the container topology for Antithesis
references/property-evaluation.mdEvaluating the property catalog as a portfolio

Recommended Workflows

Full research pass (new project)

  1. Read references/scratchbook-setup.md
  2. Read references/sut-discovery.md and references/sut-analysis.md
  3. Analyze the system using the ensemble or single-agent workflow from references/sut-discovery.md
  4. Scan the codebase for existing Antithesis SDK assertions. Search for imports of the Antithesis SDK and calls to assertion functions (assert_always!, assert_sometimes!, assert_reachable!, assert_unreachable!, or their non-macro equivalents). For each assertion found, record the file path, line number, assertion type, and message string. Write the results to antithesis/scratchbook/existing-assertions.md. If no assertions are found, write the file with a note confirming the codebase has no existing instrumentation.
  5. Read references/property-discovery.md and references/property-catalog.md
  6. Discover properties using the ensemble or single-agent workflow from references/property-discovery.md
  7. Read references/deployment-topology.md
  8. Design the deployment topology and write it to antithesis/scratchbook/deployment-topology.md
  9. Read references/property-evaluation.md
  10. Evaluate the property catalog using the ensemble or single-agent workflow from references/property-evaluation.md
  11. Address evaluation findings: apply refinements, fill gaps, escalate biases to the user
  12. Write or update all remaining findings in the scratchbook under antithesis/scratchbook/

Targeted property research

  1. Read references/sut-discovery.md and references/sut-analysis.md if the system model is missing or stale
  2. Read references/property-discovery.md and references/property-catalog.md
  3. Discover properties using the ensemble or single-agent workflow from references/property-discovery.md
  4. Turn claimed guarantees, incidents, and bug reports into explicit properties, and choose the Antithesis assertion type that matches each one
  5. Update antithesis/scratchbook/property-catalog.md and record assumptions or open questions
  6. Write evidence files for new properties to antithesis/scratchbook/properties/{slug}.md
  7. Update antithesis/scratchbook/property-relationships.md with any new clusters or connections
  8. Read references/property-evaluation.md
  9. Evaluate the updated property catalog using the ensemble or single-agent workflow from references/property-evaluation.md
  10. Address evaluation findings: apply refinements, fill gaps, escalate biases to the user

Property expansion (after triage)

  1. Read references/property-discovery.md and references/property-catalog.md
  2. Review triage findings from the antithesis-triage skill
  3. Use the attention focuses from references/property-discovery.md to look for new properties inspired by triage findings
  4. Update the relevant files in the scratchbook
  5. Write evidence files for new properties to antithesis/scratchbook/properties/{slug}.md
  6. Update antithesis/scratchbook/property-relationships.md with any new clusters or connections
  7. If the expansion is substantial (a new category of properties or more than 3 new properties), read references/property-evaluation.md and evaluate the updated catalog. Small expansions of 1-3 properties in existing categories do not require a full evaluation pass.

General Guidance

  • Prefer specific, checkable guarantees over vague goals like "test failover"
  • If the system claims a guarantee in docs, comments, or issues, try to make it a property
  • Record not just the invariant, but why the chosen Antithesis assertion type is the right semantic fit for that property
  • Use Sometimes(cond) for liveness or non-trivial semantic states, not for invariants that must hold on every evaluation and not as a substitute for Reachable(...)
  • Identify where surgical SUT-side assertions would give materially better search guidance than workload-only checks, especially for rare, dangerous, timing-sensitive, or externally invisible states
  • Remember that Antithesis SDK assertions do not crash the program on failure; they are intended to be safe in production code and usually become low-overhead fallbacks or no-ops outside Antithesis
  • Focus on timing-sensitive, concurrency-sensitive, and partial-failure scenarios where Antithesis is strongest
  • Keep the deployment topology minimal; every extra container expands state space
  • Write down assumptions and open questions in the scratchbook instead of keeping them implicit
  • If only part of the research is requested, still update the relevant scratchbook files and note what remains undone

Output

  • antithesis/scratchbook/sut-analysis.md
  • antithesis/scratchbook/existing-assertions.md
  • antithesis/scratchbook/property-catalog.md
  • antithesis/scratchbook/deployment-topology.md
  • antithesis/scratchbook/property-relationships.md
  • antithesis/scratchbook/properties/{slug}.md (one per cataloged property)
  • antithesis/scratchbook/evaluation/synthesis.md
  • antithesis/scratchbook/evaluation/{lens}.md (one per evaluation lens)

These outputs should be concrete enough for the antithesis-setup skill and the antithesis-workload skill to use directly.

Self-Review

Before declaring this skill complete, review your work against the criteria below. If your agent supports spawning sub-agents, create a new agent with fresh context to perform this review — give it the path to this skill file and have it read all output artifacts. A fresh-context reviewer catches blind spots that in-context review misses. If your agent does not support sub-agents, perform the review yourself: re-read the success criteria at the top of this file, then systematically check each item below against your actual output.

Review criteria:

  • antithesis/scratchbook/sut-analysis.md exists and covers architecture, state management, concurrency model, and failure-prone areas
  • antithesis/scratchbook/existing-assertions.md exists and lists all Antithesis SDK assertions found in the codebase (or explicitly states none were found)
  • Evidence files correctly distinguish between instrumentation that already exists in the codebase, instrumentation that is partially present, and instrumentation that is missing — no evidence file suggests adding an assertion that is already there
  • antithesis/scratchbook/property-catalog.md exists, has provenance frontmatter (commit and updated), and lists concrete, testable properties — not vague goals like "test failover"
  • Each property has a descriptive kebab-case slug as its canonical ID
  • Each property has a priority and a rationale for its chosen Antithesis assertion type (Always, Sometimes, Reachable, etc.)
  • Properties that need internal branch guidance or replay anchors call out likely SUT-side instrumentation points, not just workload-visible checks
  • antithesis/scratchbook/deployment-topology.md exists and describes a minimal container topology — every container is justified
  • Every cataloged property has a corresponding evidence file at antithesis/scratchbook/properties/{slug}.md that captures the evidence trail, relevant code paths, and key observations
  • Open questions in evidence files have been investigated and resolved — no unresolved questions remain in evidence files for active properties
  • Properties invalidated by investigation are marked in the catalog with the reason
  • antithesis/scratchbook/property-relationships.md exists and groups related properties into clusters with brief notes on suspected connections and dominance
  • Every property slug referenced in property-relationships.md corresponds to a property in the catalog
  • Properties focus on timing-sensitive, concurrency-sensitive, and partial-failure scenarios where Antithesis is strongest
  • Claimed guarantees from docs, comments, or issues are represented as properties
  • Property evaluation was performed: antithesis/scratchbook/evaluation/synthesis.md exists with categorized findings
  • Evaluation refinements have been applied to the catalog
  • Evaluation gaps have been filled via targeted discovery, and the resulting properties are in the catalog with evidence files
  • Evaluation biases (if any) have been presented to the user with supporting evidence
  • The outputs are concrete enough for antithesis-setup and antithesis-workload to use directly — no ambiguous steps or missing details

平台分布

Codex

37.11%
按下载量换算312

Claude

30.28%
按下载量换算254

Cursor

18.76%
按下载量换算158

Gemini CLI

9.88%
按下载量换算83

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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