Feishu Multi Agent
hyperlist/feishu-multi-agent
飞书多 Agent 系统搭建指南。当用户要求创建新的功能 Agent、配置飞书群聊绑定、 搭建多 Agent 协作系统时激活此 skill。
OpenLark 项目代码规范检查技能。用于快速审查仓库内的架构一致性、API 实现套路、参数校验、命名与导出规范,并输出可执行检查清单与证据路径。Triggers: code review / consistency check / architecture audit / 规范检查 / 风格一致性 / 体检 / 对齐约定。项目锚点见 AGENTS.mdCONVENTIONS 与…
$ npx skills add foxzool/openlark --skill openlark-code-standards -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install foxzool/openlark openlark-code-standards --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/foxzool/openlark.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/openlark-code-standards .claude/skills/openlark-code-standards && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "openlark-code-standards" agent skill from https://github.com/foxzool/openlark/tree/main/.agents/skills/openlark-code-standards into .claude/skills/openlark-code-standards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openlark-code-standards", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/foxzool/openlark/tree/main/.agents/skills/openlark-code-standardsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add foxzool/openlark --skill openlark-code-standards -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install foxzool/openlark openlark-code-standards --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/foxzool/openlark.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/openlark-code-standards .agents/skills/openlark-code-standards && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "openlark-code-standards" agent skill from https://github.com/foxzool/openlark/tree/main/.agents/skills/openlark-code-standards into .agents/skills/openlark-code-standards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openlark-code-standards", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add foxzool/openlark --skill openlark-code-standards -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install foxzool/openlark openlark-code-standards --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/foxzool/openlark.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/openlark-code-standards .cursor/skills/openlark-code-standards && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "openlark-code-standards" agent skill from https://github.com/foxzool/openlark/tree/main/.agents/skills/openlark-code-standards into .cursor/skills/openlark-code-standards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openlark-code-standards", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/foxzool/openlark.git --path .agents/skills/openlark-code-standards--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add foxzool/openlark --skill openlark-code-standards -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install foxzool/openlark openlark-code-standards --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/foxzool/openlark.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/openlark-code-standards .gemini/skills/openlark-code-standards && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "openlark-code-standards" agent skill from https://github.com/foxzool/openlark/tree/main/.agents/skills/openlark-code-standards into .gemini/skills/openlark-code-standards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openlark-code-standards", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install foxzool/openlark openlark-code-standardsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add foxzool/openlark --skill openlark-code-standards -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/foxzool/openlark.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/openlark-code-standards .github/skills/openlark-code-standards && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "openlark-code-standards" agent skill from https://github.com/foxzool/openlark/tree/main/.agents/skills/openlark-code-standards into .github/skills/openlark-code-standards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openlark-code-standards", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add foxzool/openlark --skill openlark-code-standards -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install foxzool/openlark openlark-code-standards --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/foxzool/openlark.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/openlark-code-standards .opencode/skills/openlark-code-standards && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "openlark-code-standards" agent skill from https://github.com/foxzool/openlark/tree/main/.agents/skills/openlark-code-standards into .opencode/skills/openlark-code-standards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openlark-code-standards", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
openlark-code-standardsOpenLark 项目代码规范检查技能。用于快速审查仓库内的架构一致性、API 实现套路、参数校验、命名与导出规范,并输出可执行检查清单与证据路径。Triggers: code review / consistency check / architecture audit / 规范检查 / 风格一致性 / 体检 / 对齐约定。项目锚点见 AGENTS.mdCONVENTIONS 与…
Openlark Code Standards is an agent skill from foxzool/openlark. OpenLark 项目代码规范检查技能。用于快速审查仓库内的架构一致性、API 实现套路、参数校验、命名与导出规范,并输出可执行检查清单与证据路径。Triggers: code review / consistency check / architecture audit / 规范检查 / 风格一致性 / 体检 / 对齐约定。项目锚点见 AGENTS.mdCONVENTIONS 与 AGENTS.mdANTI-PATTERNS。
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Agent instruction files and Messaging and chat bots. It works with Feishu (Lark). The repository describes itself as: 飞书开放平台的非官方 Rust SDK,支持自定义机器人、长连接机器人、云文档、飞书卡片、消息、群组等 API 调用。 The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 6128d6d. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepGlobBashFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
justrgcargoFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Openlark Code Standards loads about 1.8k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 465 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Grep, Glob, BashAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from foxzool/openlark at commit 6128d6d, republished under its Apache-2.0 licence (© foxzool). 465 words, ~1,821 tokens.
.claude/skills/openlark-code-standards/SKILL.md (or your agent's skills folder).输出一份可落地的规范检查结果,包含:
path:line)覆盖全部 crates/openlark-*(按 AGENTS.md#STRUCTURE 有 18 个业务/基础设施 crate)。
openlark-core、openlark-client、openlark-protocol)与高频业务 crate(openlark-docs、openlark-communication、openlark-hr)。XxxClient)权威映射表见 docs/CLIENT_NAMING_CONVENTION.md 的「当前映射」,命名核审以此为准。openlark-mail、crates/openlark-hr/src/)。Request/Response + Builder 模式execute() 与 execute_with_options(RequestOption)Transport::request(...) 发送请求🔴 硬规则(grep 命中即 P0 违规):
openlark-core 与 openlark-webhook)不得出现 reqwest::Client::new()——一旦命中,说明有端点绕过了 Transport,必为不一致源头。检查命令:rg "reqwest::Client::new" crates/ --type rust -g '!openlark-core/**' -g '!openlark-webhook/**'openlark-webhook 是有意例外——自定义机器人不是飞书开放平台 API(目标 URL 为用户配置的绝对地址、用 URL 携带签名密钥鉴权、响应体为非标准 {code,msg}),不适用 Transport 的 /open-apis/ 基址与 token 注入,故保留独立 reqwest 路径(见 issue #214 调研结论,注释位于 crates/openlark-webhook/src/robot/v1/send.rs:13-26)。勿改 webhook 的 reqwest 用法。Authorization 头 / get_app_token(token 由 Transport 自动注入)Service/Request 不得持有 HTTP client 字段(只持 Config)🟡 R 语义检查(防止双重嵌套陷阱):
ApiRequest<R> 的 R 应是响应 data 字段的内容类型,不是外层包装。XxxResponse struct 带 data: Option<...> 字段、同时又作为 ApiRequest<XxxResponse> 的泛型——大概率双重嵌套(core 已把 R 当作 data 内容解析)。Skill(openlark-api) 的"🔒 核心契约"。src/common/api_endpoints.rs 定义各自的 <Domain>ApiV1 枚举,并实现 pub fn to_url(&self) -> String(注意 to_url() 返回的是相对路径 String,形如 /open-apis/mail/v1/...,不带基址)。to_url())<Domain>ApiV1,Domain 通常但并非总是等于 crate 名——以现况为准:MailApiV1(crates/openlark-mail/src/common/api_endpoints.rs:5)、DocsApiV1(crates/openlark-docs/src/common/api_endpoints.rs:440)、HelpdeskApiV1、AppApiV1(application)。VcApiV1(meeting,crates/openlark-meeting/src/common/api_endpoints.rs:224)、TaskApiV1/BoardApiV1(workflow)、AdminApiV1(platform)、AuthenApiV1(auth)、HR 多枚举(AttendanceApiV1/HireApiV1/OkrApiV1/...)、Docs 多枚举(BitableApiV1/WikiApiV1/DocxApiV1/MinutesApiV1/...)。to_url() match 分支,不要在 Request/Builder 里手写 URL 字面量。openlark_core::validate_required!trim() 后再校验validate_required_list!)🟡 Token 类型与 Config 形态:
ApiRequest 默认 [User, Tenant];仅当文档要求 app_access_token(→ App)等非默认凭证时才显式 .with_supported_access_token_types(...)。注意 App = app_access_token ≠ tenant_access_token(→ Tenant),不要把要求 tenant_access_token 的接口设成 App(详见 #511)。Request/Service 是否用 owned Config(非 Arc<Config>)——新代码与重构以 owned 为准(openlark-docs 历史用 Arc 属例外)。🟡 RequestOption(单数)vs RequestOptions(复数)切勿混用:
openlark_core::req_option::RequestOption(单数,crates/openlark-core/src/req_option.rs:7)——Transport/execute_with_options 实际接受的类型(token、tenant_key、file_upload/download 等运行时请求控制),业务 crate 调用 execute_with_options(RequestOption::default())。openlark_client::types::client::RequestOptions(复数,crates/openlark-client/src/types/client.rs:180)——高级客户端的 timeout/retry_count/headers 构造参数,语义不同。RequestOption。Client/Service/Resource/Request/Builder 命名是否语义清晰mod.rs 与 prelude 是否完整导出新增 APICargo.toml feature 与 #[cfg(feature = "...")] 是否对齐详细背景见
docs/CI_TEST_TARGET_COVERAGE.md(相关 issue:#228 / #246 / #248 / #250 / #251;PR:#247 / #249 / #252 / #253 / #254)。
#[cfg(test)] 改动后必跑 just lint:just lint = cargo clippy --workspace --all-targets --all-features(justfile:12-14)。CI 在 all-features / no-default-features / 各 feature 组合 三个维度都用 --all-targets,因此 #[cfg(test)] 类 lint 回归(如 #248 的未用 use super::*)会被 CI 直接拦住,不只依赖本地。tests/*.rs feature 门控约定(#251):文件引用 feature-gated 模块时,文件顶部加 #![cfg(feature = "...")];且 //! 模块文档必须在 #![cfg] 之上(顺序反了会触发 clippy missing_docs)。examples/*.rs 禁用 #:feature 门控走 Cargo.toml 的 [[example]] required-features。example 里写 #![cfg] 会把文件清空成无 main,报 E0601。openlark-communication)不违规:event 在 tools/api_priority.toml 标为 P2(非 P0 核心业务),按基础设施类对待(与 WebSocket LarkWsClient 同类),有意不经统一 client declare_client! re-export(#228 决策)。审查时勿把它当作「漏 re-export 的违规」上报。path:line)AGENTS.md 与目标 crate 的 AGENTS.md/CLAUDE.mdapi_endpoints、execute_with_options、validate_required、prelude、mod.rspath:lineopenlark-design-reviewopenlark-validation-styleopenlark-apiopenlark-api-validation| 场景 | 优先技能 | 何时转交 |
|---|---|---|
| 只想做一次项目规范体检(给出规则-证据对和风险清单) | openlark-code-standards | 若发现架构级冲突/公共 API 设计分歧,转 openlark-design-review |
| 重点是架构收敛、范式选型、兼容策略(含 breaking 评估) | openlark-design-review | 若需要补充全仓规范一致性证据,可回补 openlark-code-standards |
只处理 validate()、validate_required!、空白字符串与校验聚合 | openlark-validation-style | 若校验问题已扩展到命名/导出/端点体系,转 openlark-code-standards |
| 新增或重构某个具体 API 文件(Request/Response/Builder/导出) | openlark-api | 若实现前需先做规范体检,先跑 openlark-code-standards |
| 关注 API 覆盖率、实现数量、缺失清单 | openlark-api-validation | 若覆盖率问题背后是设计不一致,转 openlark-design-review |
openlark-code-standardsopenlark-design-reviewopenlark-validation-styleopenlark-api| 用户关键词/表述 | 建议技能 |
|---|---|
| 代码规范、规范检查、风格一致性、体检、对齐约定 | openlark-code-standards |
| 架构设计、public API、收敛方案、feature gating、兼容策略、breaking change | openlark-design-review |
| validate、必填校验、validate_required、空白字符串、校验聚合 | openlark-validation-style |
| 新增 API、重构 API、Builder、Request/Response、mod.rs 导出 | openlark-api |
| 覆盖率、实现数量、缺失 API、统计、对比 CSV | openlark-api-validation |
openlark-api-validation 产出缺失清单,再用 openlark-code-standards 做规范归因。openlark-code-standards 做现状证据,再转 openlark-design-review 定迁移方案。openlark-api,校验规则判定用 openlark-validation-style。© foxzool, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/openlark-code-standards of foxzool/openlark.
Open the folder on GitHubat commit 6128d6d
Openlark Code Standards next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Openlark Code Standards this skillfoxzool/openlark | 106 | — | ~1.8k | Automated safety check: Notes | Apache-2.0 | |
| Feishu Multi Agenthyperlist/feishu-multi-agent | 273 | — | ~419 | Automated safety check: Pass | None | |
| Sync Specsnexu-io/nexu | 3.3k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Autoresearch Feishu Three Tablebosprimigenious/autoresearch-skills | 151 | — | ~413 | Automated safety check: Pass | MIT | |
| Aris InfraOpenLAIR/dr-claw | 1.2k | — | ~1.4k | Automated safety check: Notes | MIT | |
| Incremental Implementationskuramatata/my-pi-agent | 114 | — | ~869 | Automated safety check: Notes | None |
hyperlist/feishu-multi-agent
飞书多 Agent 系统搭建指南。当用户要求创建新的功能 Agent、配置飞书群聊绑定、 搭建多 Agent 协作系统时激活此 skill。
nexu-io/nexu
A skill your agent uses when code changes may have made documentation outdated, when reviewing docs for consistency, or when the user asks to sync or audit documentation.
bosprimigenious/autoresearch-skills
在已获授权的飞书/Lark 多维表格中处理 AutoResearch 的领题、完成提交/验收和组长初检三表流转,核对当期题号、字段权限、证据和写后回读。用于领取题目、提交验收材料或回填初检结论;不用于绕过组织权限、恢复离职账号或替代任务 QA。
OpenLAIR/dr-claw
ARIS (Auto-claude-code-research-in-sleep) infrastructure setup and configuration.
skuramatata/my-pi-agent
A skill your agent uses when implementing my-pi-agent changes that touch multiple files, shared runtime behavior, prompt/skill logic, Feishu channel flow, verifier behavior, or coding workflow lanes.
AlexAnys/feishu-openclaw
Connect a Feishu (Lark) bot to Clawdbot via WebSocket long-connection.
foxzool/openlark
Prove OpenLark (Feishu/Lark Rust SDK) changes the way a maintainer does — cargo build/test, public examples, API coverage and field-verify harnesses.
foxzool/openlark
OpenLark 项目 API 接口实现规范(速查)。用于添加/重构飞书开放平台 API:确定落盘路径、实现 Body/Response + Builder(Request)、对齐 endpoints 常量/enum、补齐 mod.rs 导出,并明确"调用服务端 API"的方法签名/RequestOption 传递约定。触发关键词:API 接口、API 文件、飞书 API、添加…
foxzool/openlark
OpenLark API 字段核对技能。用于新增/重构飞书 API 后,核对 Rust 实现的请求体/响应体字段是否与飞书官方文档一致。通过 playwright 渲染飞书 SPA 文档页面,提取真实的请求/响应字段定义,对比代码实现找出不符项。触发关键词:字段核对、字段验证、字段不符、文档核对、核对请求字段、核对响应字段、飞书文档字段、推断字段、user 级接口、用户级接口字段
foxzool/openlark
OpenLark Rust SDK 的代码设计/公共 API 规范审查技能(面向 crate/模块)。用于系统化检查入口设计、feature gating、Request/Service/Builder 一致性、端点体系、Config/错误处理、导出与文档同步、测试与告警控制,并输出按优先级排序的整改清单与可落地改造方案。触发关键词:设计审查、crate 设计、API 设计、public…
foxzool/openlark
OpenLark API 覆盖率验证技能。用于验证各 crate 的 API 实现数量与覆盖率,基于 tools/validateapis.py 脚本和 apilistexport.csv 对比实际代码实现。触发关键词:API 验证、API 覆盖率、验证 API 数量、检查 API 实现、API 统计
foxzool/openlark
OpenLark Rust SDK 命名与对外 API 表达规范(Client/Service/Resource/Request/Builder)。用于新增/重构公开类型、设计 meta 调用链、调整模块导出与 prelude、或排查 Service 同名/语义错配/V{N}Service 版本层错位、Resource 与 Service 同类型两名、以及…
Works with
Categories
OpenLark 项目代码规范检查技能。用于快速审查仓库内的架构一致性、API 实现套路、参数校验、命名与导出规范,并输出可执行检查清单与证据路径。Triggers: code review / consistency check / architecture audit / 规范检查 / 风格一致性 / 体检 / 对齐约定。项目锚点见 AGENTS.mdCONVENTIONS 与…. Openlark Code Standards is an agent skill from foxzool/openlark.
Openlark Code Standards fits situations like: tasks that involve Agent instruction files; tasks that involve Messaging and chat bots.
Run `npx skills add foxzool/openlark --skill openlark-code-standards -a claude-code`. Or copy the skill folder (.agents/skills/openlark-code-standards in foxzool/openlark) into .claude/skills/openlark-code-standards in your project. Claude Code loads it when a task matches its description.
Run `npx skills add foxzool/openlark --skill openlark-code-standards -a codex`. Or copy the skill folder (.agents/skills/openlark-code-standards in foxzool/openlark) into .agents/skills/openlark-code-standards in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add foxzool/openlark --skill openlark-code-standards -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openlark-code-standards, .gemini/skills/openlark-code-standards, .github/skills/openlark-code-standards and .opencode/skills/openlark-code-standards in your project.
Going by SKILL.md and its folder, Openlark Code Standards needs the command-line tools its instructions call (just, rg and cargo). Its frontmatter pre-approves these tools: Read, Grep, Glob, Bash.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Openlark Code Standards is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Openlark Code Standards: Feishu Multi Agent (hyperlist/feishu-multi-agent, 273 stars), Sync Specs (nexu-io/nexu, 3.3k stars), Autoresearch Feishu Three Table (bosprimigenious/autoresearch-skills, 151 stars) and Aris Infra (OpenLAIR/dr-claw, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
foxzool (a GitHub user) maintains it in foxzool/openlark, which has 106 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 3, 2026.
Source: foxzool/openlark on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.