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Agent Skill · 研究检索

host-panel(主机面板)

host-panel 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。

host-panel 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,权限为执行命令;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 43,194。

总安装 1,004周安装 41GitHub Stars 2下载 325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:host-panel(主机面板)
来源仓库:https://github.com/wyattowalsh/agents
仓库路径:skills/host-panel
安装命令:
npx skills add https://github.com/wyattowalsh/agents --skill host-panel
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/wyattowalsh/agents --skill host-panel

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。

host-panel 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限与维护状态。使用前建议核实是否会触发联网、命令执行或文件读写操作。

可结合原始 README 进一步核验具体用法和功能细节。

来源仓库内路径:skills/host-panel

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/wyattowalsh/agents --skill host-panel;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

    它需要执行命令,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

host-panel 怎么安装?

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

host-panel 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。

host-panel 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/wyattowalsh/agents --skill host-panel 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

host-panel 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。

host-panel 用的人多吗?

公开数据是累计安装 1,004 次,近一周安装 41 次,下载 325 次,GitHub 2 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。

host-panel 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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
host-panel

主机面板 · 本页

1,0042执行命令未明确有提醒

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

Host Panel

Facilitate research-grounded deliberation across simulated intellectual positions. Surface tensions, source-grounded claims, and disagreement cruxes; never present the panel as evidence of real human group behavior.

Invocation: /host-panel "topic" [format] [num-experts]

Dispatch Table

$ARGUMENTS shapeDispatchAction
emptyempty-help-galleryShow the gallery, defaults, supported formats, and ask for a topic.
quoted topic + optional format/countparse-diagnose-groundParse arguments, run topic diagnostic, then research before personas.
unquoted or malformed topicclarify-topicAsk for a quoted topic; do not infer a panel from ambiguous fragments.
format omittedauto-select-formatSelect roundtable, oxford, or socratic using references/topic-diagnostic.md.
invalid format or count outside 2-6argument-errorExplain supported formats/count range and ask for a corrected invocation.
loaded premise or preferred answerpremise-checkChallenge the framing before accepting it as the debate motion.
settled factual or false-balance topicreframe-false-balanceReframe toward open implementation, values, uncertainty, or boundary questions.
Q&A, code review, one-on-one chat, or real opinion simulationredirect-out-of-scopeDecline the panel framing and redirect to the appropriate interaction style or skill.

Empty/Help Gallery

If $ARGUMENTS is empty, present this gallery and wait:

#DomainTopicFormat
1Technology"Should foundation model weights be open-sourced?"oxford
2Philosophy"What obligations do current generations owe the far future?"socratic
3Policy"How should cities redesign transit for remote-work patterns?"roundtable
4Science"Is the replication crisis a crisis of method or incentives?"roundtable

Defaults: roundtable, 4 experts. Expert range: 2-6. Prefer 4-5; 6 is harder to maintain.

Format-count notes:

  • Oxford with 2 experts is direct proposition-vs-opposition.
  • Oxford with 3 experts uses one swing panelist.
  • Socratic with 2 experts becomes paired inquiry with phase-transition moderation.
  • Roundtable with 2 experts becomes structured dialogue, not a faux crowd.

Progressive Disclosure

Load only what the invocation requires:

  1. Always load references/topic-diagnostic.md, references/research-integrity.md, and references/debate-research.md before personas.
  2. Load references/archetypes.md only after the topic gate identifies the needed traditions.
  3. Load references/moderator-rules.md and references/formats.md immediately before running the panel.
  4. Load references/synthesis.md before the final product.
  5. Do not load every reference up front for weak, malformed, or out-of-scope topics.

Optional parser: run uv run python skills/host-panel/scripts/parse_args.py $ARGUMENTS when shell access is available. Use the JSON result for topic, format, and count; if scripts are unavailable, parse manually with the same public contract.

Classification Gate

Topic Classes

ClassMeaningDefault Action
settled-factualMostly closed empirical questionReframe or decline false balance
open-valueNormative, policy, rights, incentives, or goalsProceed
controversial-factualLive empirical disagreement with credible sources on multiple sidesProceed with source ledger
speculativeFuture-facing or theory-buildingProceed with uncertainty labels
thin-evidenceSparse or indirect literatureProceed only with explicit gaps
decision-criticalUser is making a practical choiceProceed with decision implications

Gate Actions

ActionUse When
proceedTopic is specific, contestable, and sourceable enough for a panel
reframeTopic is too broad, loaded, asymmetric, or better posed another way
clarifyTopic cannot be parsed or has too little detail
decline-false-balanceDebate would stage denial of a settled factual matter

Pipeline

  1. Parse. Preserve the public invocation contract. Reject invalid formats, invalid counts, and malformed topics before research.
  2. Diagnose. Classify topic type, false-balance risk, evidence status, format fit, and whether the user's premise should be challenged.
  3. Ground. Build a source ledger with 3-5 relevant sources when tools are available. If current sources are unavailable, label the panel as unverified training-knowledge synthesis.
  4. Map perspectives. Discover traditions from the topic and sources before personas. Prefer methodology diversity over theatrical variety.
  5. Run independent first positions. Each panelist states an initial position before seeing other panelists' claims. Subsequent rounds critique claims, not people.
  6. Moderate against collapse. Test convergence, persuasive unsupported claims, majority pressure, and sycophantic acceptance of the user's framing.
  7. Synthesize by trajectory. The final product maps factual claims, interpretive disagreements, cruxes, evidence gaps, and decision implications. It is not a vote.

Output Contract

Structure complete outputs with these sections:

  • Topic Gate - topic class, format choice, false-balance decision, and any premise challenge.
  • Research Status - verified/thin/unverified status and evidence limits.
  • Source Ledger - stable source IDs, supported claims, viewpoints, independence, and confidence.
  • Terrain Map - disciplines, traditions, live tensions, and unresolved uncertainty.
  • Panelist Roster - methodology cards, not theatrical character sheets.
  • Panel Phases - format-specific phases from references/formats.md.
  • Final Synthesis - trajectory-aware synthesis from references/synthesis.md.
  • Follow-up Options - 3-4 concrete next moves tied to this panel's cruxes.

For condensed panels, keep abbreviated framing, one sharp exchange, challenge highlights, and full final synthesis. Cut redundant opening positions and repeated back-and-forth.

Critical Rules

  1. Research before personas. Always run topic analysis and source grounding before building the roster.
  2. Never stage fake balance. Settled factual claims must be reframed or declined as debate motions.
  3. Never claim the panel simulates real human group behavior, polling, consensus, or prediction.
  4. Cite real works only. If a title, author, year, venue, or affiliation is not verified, stay at the tradition/framework level.
  5. Show source status. Label source grounding as verified, thin, or unverified-training-knowledge.
  6. Require independent first positions before cross-talk so later convergence can be inspected.
  7. Treat rhetorical confidence as non-evidence. Persuasive claims need sources, logic, or explicit uncertainty.
  8. Test convergence. Agreement can reflect model priors, sycophancy, majority pressure, or persuasive falsehood.
  9. No straw men. Each position must be the strongest version of its tradition and must include its strongest self-objection.
  10. Never skip final synthesis. The synthesis is the intellectual product and must separate facts, interpretations, cruxes, and uncertainty.

Reference File Index

FileContentRead When
references/topic-diagnostic.mdTopic classification, false-balance gate, format selection, and reframe rulesBefore personas for every non-empty invocation
references/research-integrity.mdSource ledger, citation integrity, confidence labels, and provenance rulesBefore naming sources or works
references/debate-research.mdAI debate, role-play, sycophancy, and synthesis research mapped to host-panel rulesBefore choosing panel mechanics
references/archetypes.mdMethodology-card construction and anti-clustering guidanceAfter topic gate identifies needed traditions
references/moderator-rules.mdIndependent first positions, anti-conformity, turn-taking, and provocation rulesBefore the first panel phase
references/formats.mdRoundtable, Oxford, and Socratic phase structures with stop and failure conditionsAfter format selection
references/synthesis.mdTrajectory-aware final synthesis requirements and follow-up optionsBefore final synthesis

Canonical Vocabulary

Canonical TermMeaning
panelA simulated deliberation across intellectual positions on a topic
expert / panelistAn AI-simulated domain specialist with a defined methodology and evidence standard
formatThe discussion structure: roundtable, oxford, or socratic
source ledgerStable list of sources, supported claims, viewpoints, independence, and confidence
topic gatePre-panel classification deciding proceed, reframe, clarify, or decline
terrain mapPre-discussion map of disciplines, traditions, tensions, and uncertainty
traditionIntellectual school, profession, or research program with methodological commitments
cruxA claim or assumption that would change the disagreement if resolved
convergencePanelist agreement that must be tested for model-prior collapse or majority pressure
anti-conformityDeliberate protection against consensus pressure and persuasive unsupported claims
final synthesisTrajectory-aware product separating facts, interpretations, uncertainty, and implications

After the Panel

For follow-ups, briefly re-ground by reviewing the roster, source status, and central crux before speaking in character or extending the analysis.

If the user is making a practical decision, connect the final synthesis to the decision: weigh trade-offs, evidence gaps, and what would change the recommendation.

平台分布

Codex

37.14%
按下载量换算121

Claude

32.9%
按下载量换算107

Cursor

17.47%
按下载量换算57

Gemini CLI

9.78%
按下载量换算32

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/wyattowalsh/agents --skill host-panel 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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