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Agent Skill · 研究检索

huly-api(huly API 搜索)

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

huly-api 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,权限为接触敏感数据;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 54,843。

总安装 494周安装 21GitHub Stars 7下载 173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:huly-api(huly API 搜索)
来源仓库:https://github.com/proompteng/lab
仓库路径:skills/huly-api
安装命令:
npx skills add https://github.com/proompteng/lab --skill huly-api
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/proompteng/lab --skill huly-api

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。

huly-api 用于辅助 API 设计和接口文档生成,支持 OpenAPI 草稿创建。适用于前后端联调和错误码整理场景。huly-api 属于研究检索类 Skill,可作为该场景下的辅助能力补充。通过 npx skills add 命令从指定仓库安装,需确认权限范围。

使用时需确认真实业务语义和鉴权方式,避免凭空补字段。涉及接口文档时应从现有代码或样例中提取事实。

来源仓库内路径:skills/huly-api

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/proompteng/lab --skill huly-api;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

    它需要接触敏感数据,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

huly-api 怎么安装?

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

huly-api 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。

huly-api 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

huly-api 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。

huly-api 用的人多吗?

公开数据是累计安装 494 次,近一周安装 21 次,下载 173 次,GitHub 7 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。

huly-api 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

  • 需要接触敏感数据,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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
huly-api

huly API 搜索 · 本页

4947接触敏感数据未明确有提醒

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

Huly API

Overview

Use this skill whenever swarm agents need durable communication in Huly:

  • tracker tasks board (issues)
  • chunter channels (chat messages)
  • document teamspaces (mission docs)

Every autonomous mission should update all three surfaces. Default destinations for this workspace:

  • Tracker issues board: DefaultProject (https://huly.proompteng.ai/workbench/proompteng/tracker/tracker%3Aproject%3ADefaultProject/issues)
  • Documents teamspace: PROOMPTENG
  • Chat channel URL: https://huly.proompteng.ai/workbench/proompteng/chunter/chunter%3Aspace%3AGeneral%7Cchunter%3Aclass%3AChannel?message

Required Environment

Load credentials from the huly-api Kubernetes secret via AgentRun spec.secrets.

  • HULY_API_BASE_URL (should target transactor, for example http://transactor.huly.svc.cluster.local)
  • HULY_BASE_URL (optional human-facing base URL, often http://front.huly.svc.cluster.local)
  • HULY_API_TOKEN (bearer token)
  • Optional:

- HULY_WORKSPACE (workspace slug for operator context) - HULY_WORKSPACE_ID (workspace UUID; helper can also infer from JWT) - HULY_PROJECT (task board project identifier/name/id) - HULY_TEAMSPACE (document teamspace name/id) - HULY_CHANNEL (chat channel name/id) - per-agent tokens: HULY_API_TOKEN_<SWARM_AGENT_IDENTITY> or HULY_API_TOKEN_<SWARM_AGENT_WORKER_ID>

Helper Script

Use scripts/huly-api.py.

When Jangar runs this helper from the bundled agent image, the script is copied under /root/.codex/skills/huly-api/scripts/huly-api.py. Local repo checkouts still use skills/huly-api/scripts/huly-api.py, and HULY_API_SCRIPT_PATH can override either layout for debugging. Jangar runner images also copy the helper under /app/skills/huly-api/scripts/huly-api.py because AgentRun auth mounts shadow /root/.codex at runtime.

Mandatory channel interaction loop

For every mission stage, run this in order:

  1. Read recent channel history:
python3 skills/huly-api/scripts/huly-api.py \
  --operation list-channel-messages \
  --worker-id "${SWARM_AGENT_WORKER_ID}" \
  --worker-identity "${SWARM_AGENT_IDENTITY}" \
  --require-worker-token \
  --channel "${ACTIVE_HULY_CHANNEL}" \
  --limit 30
  1. React to at least one relevant teammate message by posting a natural direct reply with decision impact in-thread:
python3 skills/huly-api/scripts/huly-api.py \
  --operation post-channel-message \
  --worker-id "${SWARM_AGENT_WORKER_ID}" \
  --worker-identity "${SWARM_AGENT_IDENTITY}" \
  --require-worker-token \
  --channel "${ACTIVE_HULY_CHANNEL}" \
  --reply-to-message-id "${RELEVANT_MESSAGE_ID}" \
  --message "Thanks for the context. I picked this up and I am implementing X next."
  1. Post a worker-authored stage update after completing the mission action:
python3 skills/huly-api/scripts/huly-api.py \
  --operation post-channel-message \
  --worker-id "${SWARM_AGENT_WORKER_ID}" \
  --worker-identity "${SWARM_AGENT_IDENTITY}" \
  --require-worker-token \
  --channel "${ACTIVE_HULY_CHANNEL}" \
  --message "${OWNER_UPDATE_MESSAGE}"

Mission-level sync (recommended)

python3 skills/huly-api/scripts/huly-api.py \
  --operation upsert-mission \
  --worker-id "${SWARM_AGENT_WORKER_ID}" \
  --worker-identity "${SWARM_AGENT_IDENTITY}" \
  --mission-id jangar-discover-20260302 \
  --title "Jangar discover cycle" \
  --summary "Top platform risks and next actions" \
  --details "Includes evidence, risk deltas, and PR links" \
  --stage discover \
  --status running \
  --swarm-agent-worker-id "${SWARM_AGENT_WORKER_ID}" \
  --swarm-agent-identity "${SWARM_AGENT_IDENTITY}" \
  --message "${OWNER_UPDATE_MESSAGE}" \
  --project "DefaultProject" \
  --teamspace "PROOMPTENG" \
  --channel "general"

This creates/updates:

  • one task-board issue
  • one mission document
  • one channel message

Single-surface operations

python3 skills/huly-api/scripts/huly-api.py --operation create-issue --title "..." --mission-id "..."
python3 skills/huly-api/scripts/huly-api.py --operation create-document --title "..." --mission-id "..."
python3 skills/huly-api/scripts/huly-api.py --operation repair-project-issues --project "DefaultProject" --limit 500
python3 skills/huly-api/scripts/huly-api.py --operation repair-project-issues --project "DefaultProject" --limit 500 --fill-empty-issue-descriptions
python3 skills/huly-api/scripts/huly-api.py --operation dedupe-project-mission-issues --project "DefaultProject" --limit 1000 --dry-run
python3 skills/huly-api/scripts/huly-api.py --operation repair-teamspace-documents --teamspace "PROOMPTENG" --limit 500
python3 skills/huly-api/scripts/huly-api.py --operation post-channel-message --message "..."
python3 skills/huly-api/scripts/huly-api.py --operation post-channel-message --channel "general" --reply-to-message-id "<parent-message-id>" --message "In-thread reply"
python3 skills/huly-api/scripts/huly-api.py --operation list-channel-messages --channel "general" --limit 30
python3 skills/huly-api/scripts/huly-api.py --operation account-info --worker-id "${SWARM_AGENT_WORKER_ID}" --require-worker-token
python3 skills/huly-api/scripts/huly-api.py --operation verify-chat-access --worker-id "${SWARM_AGENT_WORKER_ID}" --worker-identity "${SWARM_AGENT_IDENTITY}" --require-worker-token --channel "general" --message "<worker-authored access check based on the actual requirement>"

Raw HTTP mode (debug)

python3 skills/huly-api/scripts/huly-api.py --operation http --method GET --path /api/v1/account/<workspace-id>

Operating Rules

  • Every mission stage must publish artifacts to all three Huly modules: tasks, channels, and docs.
  • Each swarm agent should authenticate with its own Huly organization account (no shared actor credentials).
  • Always target Tracker DefaultProject issues and Docs PROOMPTENG teamspace unless a run explicitly overrides them.
  • Resolve ACTIVE_HULY_CHANNEL dynamically from runtime context (prefer swarmRequirementChannel, then HULY_CHANNEL, then default).
  • Read channel history before taking action, then react to relevant teammate messages with explicit in-thread follow-up replies using --reply-to-message-id.
  • Use --require-worker-token for dedicated-account checks so shared fallback tokens are rejected.
  • For strict identity mapping, set per-worker HULY_EXPECTED_ACTOR_ID_<SWARM_AGENT_IDENTITY> and use --require-expected-actor-id.
  • Run verify-chat-access before autonomous delivery stages with a worker-authored --message.
  • Include swarmAgentWorkerId and swarmAgentIdentity in issue/document artifacts.
  • Keep channel messages human-readable by default; avoid appending metadata blocks.
  • Use actual run context in worker-authored updates; avoid canned acknowledgements or stock status templates.

- If you need metadata in chat for a specific audit/debug flow, use --append-channel-metadata. - upsert-mission automatically infers these fields from --worker-id/--worker-identity (or SWARM_AGENT_WORKER_ID/SWARM_AGENT_IDENTITY) if explicit --swarm-agent-worker-id/ --swarm-agent-identity flags are not provided.

  • Keep channel updates concise, written by the worker, and linked to issue/doc/PR/deploy evidence.
  • Issue descriptions must be long-form and knowledge-base quality. The helper now stores issue descriptions through collaborator refs (not raw inline markdown) so tracker descriptions reliably render and persist.
  • upsert-mission now reuses existing mission issues by mission id prefix ([mission:<id>]) to avoid duplicate ticket creation.
  • Use repair-project-issues to migrate legacy issues that still have inline markdown/plain text in Issue.description.
  • Use repair-project-issues --fill-empty-issue-descriptions when historical issues have truly empty description fields.
  • Use dedupe-project-mission-issues to move older duplicate mission issues to Canceled while keeping the most recent active issue.
  • Document content must be long-form and knowledge-base quality. The helper now stores mission document bodies through collaborator content refs (not raw inline markdown) so Huly editor/collaborator consistently loads and renders content.
  • Use repair-teamspace-documents to migrate legacy docs that still have inline markdown in Document.content.
  • If Huly auth fails, stop and return a clear unblock request instead of silently continuing.

平台分布

Codex

39.25%
按下载量换算68

Claude

30.83%
按下载量换算53

Cursor

16.93%
按下载量换算29

Gemini CLI

8.68%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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