multica-squad-onboard

multica-squad-onboard is a skill for Codex from Songhonglei/better-agent-skills. It costs 81 tokens per session (1,512 once invoked), scanned A, original, MIT.

An onboarding and configuration tool for connecting a project to a Multica agent team. It checks the project, team membership, roles, runtime settings and required shared skills before making allowed setup changes.

In plain words
What is it for?
Use it to inspect a project by ID or URL, install the shared load-balancing skill, configure project-scoped instructions and verify the setup without changing unrelated permissions or capacity.
Why use it?
It avoids guessing which team or project owner is correct and catches invalid or incomplete setup before work is dispatched. Its checks also distinguish read-only inspection from configuration changes.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to inspect a project by ID or URL, install the shared load-balancing skill, configure project-scoped instructions and verify the setup without changing unrelated permissions or capacity.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/songhonglei/better-agent-skills/multica-squad-onboard
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Songhonglei/better-agent-skills --skill multica-squad-onboard
Clone the repo
git clone --depth 1 https://github.com/Songhonglei/better-agent-skills

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for multica-squad-onboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/songhonglei/better-agent-skills/multica-squad-onboard/github.svg)](https://agentmods.dev/skills/songhonglei/better-agent-skills/multica-squad-onboard)
Your own site
<a href="https://agentmods.dev/skills/songhonglei/better-agent-skills/multica-squad-onboard"><img src="https://agentmods.dev/badge/skills/songhonglei/better-agent-skills/multica-squad-onboard/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for multica-squad-onboard

Your own site · 80×15
<a href="https://agentmods.dev/skills/songhonglei/better-agent-skills/multica-squad-onboard"><img src="https://agentmods.dev/badge/skills/songhonglei/better-agent-skills/multica-squad-onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,512 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.01512
Opus 5.5 $0.00032 $0.00605
Sonnet 5.5 $0.00016 $0.00302
Haiku 4.5 $0.00008 $0.00151

Measured 6d ago against content hash 3d6743ed5f3e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

multica-squad-onboard scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/onboard.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/multica-squad-onboard/SKILL.md · 47 lines

How it starts

The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multica 小队接入

用户只需提供项目 ID 或 URL。队长、成员、业务 Skill 和分工从现有配置读取;不要求重复填表,不擅自选择负责人;用户明确目标和授权后可通过 CLI 设置项目负责人。不创建小队、不增删成员、不更换 Runtime、不修改容量或权限。用户另行提供的小队 ID/URL是校验约束,不能绕过“负责人领导唯一有效小队”的前提。

检查与前置设置

  1. 读取项目定位信息、当前登录环境及用户已明确的操作范围。“检查”只读;“接入/配置”允许完成该项目的安装和指令配置,不代表发布 Skill、业务派单或部署代码。URL 用同源服务器查证;仅 ID 使用当前 CLI 配置。服务器或工作区存在歧义时集中询问,不猜测域名映射。
  2. 执行 scripts/onboard.py 的 inspect,将快照保存到安装目录外。脚本核验项目负责人是 Agent、同工作区唯一未归档小队、队长在成员中、至少一名非队长 Agent,以及成员与 Runtime 配置。读 references/operations.md 的参数、安装和恢复流程。
  3. 有阻断条件时,返回具体对象、问题和 Multica 设置位置。目标未知时由用户确定负责人/队长/成员,登录和权限申请仍由用户完成。用户已明确目标并授权负责人变更时,直接调用 set-project-lead 设置,不要求用户再手工操作或重复确认;只读检查不能执行该修复。修复后重新读取,不能仅凭“已完成”判定通过。离线、容量无效、缺少明确业务能力的成员单列;不自行提高容量或补装业务 Skill。
  4. 业务能力只按项目/任务明确声明核验,未声明时不编造必需 Skill 或角色,也不把未配置专业分工当阻断。异质成员不要求装相同业务 Skill。正式任务的能力筛选交给队长与公共 Skill。

安装与指令配置

  1. 从当前工作区查找唯一 multica-squad-load-balancer。核验完整包、版本及 用户认可的可信来源;不存在时走已授权的可信来源安装流程,详见 operations 的“公共 Skill 安装”。保留已有分配。已有同名包来源不明、版本冲突或不完整时先报告;覆盖会影响其他项目,未授权不覆盖。
  2. 阅读私有快照中的项目说明、Squad/Agent 指令,查找手工选人、重复 mention、队长代做、自动换人重派等冲突。不要机械追加相反规则。未托管的冲突先提出精确修改,只有已授权才修改;组织关系不擅改,已授权的负责人修复按前述流程执行。Agent 可能跨项目任不同角色,Squad 也可能被复用。
  3. 使用 references/roles.md 的项目作用域模板。prepare 生成私有变更计划,保留托管块外原文;apply 只允许项目 description、Squad/Agent instructions 和公共 Skill 的追加分配。重复执行更新同项目块,不重复追加。不修改原业务 Skill、模型、Runtime、容量、审批或状态规则。
  4. 应用前展示具体变更摘要;已有“接入/配置”授权时直接继续,不为常规步骤重复确认。检查模式不能执行 apply 或 set-project-lead;组织角色选择、额外覆盖或外部操作仍需对应授权。写后读回;部分失败或结果不确定先对账,按 operations 恢复,不盲目重试或自动回滚他人修改。

验收与交付

  • 再次 inspect,并核对计划内字段、Skill 分配、完整包和组织关系;运行同安装版本公共 Skill 的 preview --project-id <UUID>。只有原业务明确要求时才加 --required-skill-id / --member-role。不调用 plan、dispatch、verify-worker,不创建测试 Issue;用户另外授权真实业务测试时才按公共 Skill 处理。
  • 在当前会话、工作目录及项目关联信息中发现代码和任务入口;先核对与目标项目的关联,不因当前目录有代码就默认属于该项目,再检查相关入口的重复调度规则;找不到标“未检查”,不要求必须提供仓库,不将局部检查描述为全覆盖。改代码/发布/部署不属于默认接入范围。
  • 分别报告:配置完成、Runtime 实测情况、公共预览结果、业务端到端是否测试。平台已启用不等于远端已落盘可执行;本机 CLI/Python 成功不能证明成员 Runtime 就绪。
  • 输出项目/小队/角色、公共 Skill 版本与来源、具体改动、可用成员与排除原因、缺失条件和证据位置。名单及容量为当次快照,不固化到调度配置。

Read the full file on GitHub · 47 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 47 lines · 81 tokens per session scan A 3d6743ed5f3e

Subscribe to this mod's changes

multica-squad-onboard is a skill published in the GitHub repository Songhonglei/better-agent-skills (3 stars, last pushed 6d ago), licensed MIT. It adds 81 tokens to every session and 1,512 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-20.

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