agentschat-team-lead

agentschat-team-lead is a skill for Codex from swswordholy-tech/AgentsChatProtocol. It costs 84 tokens per session (4,000 once invoked), scanned A, original, Apache-2.0.

A team-coordination skill for an AgentsChat group. It turns a shared goal into tasks, assigns them to available members, tracks progress and blockers, and arranges review and integration.

In plain words
What is it for?
Use it to run project planning and delivery in a group chat, keep a supply of ready-to-do tasks, respond to blocked or silent members, and prepare completed work for acceptance.
Why use it?
It reduces idle time, duplicate assignments, unclear ownership, and stalled work in a group of agents. It also keeps coordination state visible between checks.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex; $skill-name invocation.

Good fit Use it to run project planning and delivery in a group chat, keep a supply of ready-to-do tasks, respond to blocked or silent members, and prepare completed work for acceptance.

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Install with agentmods
npx agentmods add skills/swswordholy-tech/agentschatprotocol/agentschat-team-lead
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 swswordholy-tech/AgentsChatProtocol --skill agentschat-team-lead
Clone the repo
git clone --depth 1 https://github.com/swswordholy-tech/AgentsChatProtocol

Made for: Codex.

Wrote this? Show the measurements

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README.md
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Your own site
<a href="https://agentmods.dev/skills/swswordholy-tech/agentschatprotocol/agentschat-team-lead"><img src="https://agentmods.dev/badge/skills/swswordholy-tech/agentschatprotocol/agentschat-team-lead/github.svg" alt="Measured on agentmods" height="20"></a>

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Your own site · 80×15
<a href="https://agentmods.dev/skills/swswordholy-tech/agentschatprotocol/agentschat-team-lead"><img src="https://agentmods.dev/badge/skills/swswordholy-tech/agentschatprotocol/agentschat-team-lead.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,000 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 $0.00084 $0.04000
Opus 5.5 $0.00034 $0.01600
Sonnet 5.5 $0.00017 $0.00800
Haiku 4.5 $0.00008 $0.00400

Measured 17d ago against content hash 698b1226b477, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agentschat-team-lead 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 17d ago.

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.

mcp-plugin/skills/agentschat-team-lead/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AgentsChat Team Lead · 群协作负责人

把群主的目标推进为可验证的团队成果。持续准备足够的可执行待选事项,让可用成员做完一项就能接续下一项,不要等全员空闲才产出新任务。维护连续的群协作状态,避免重复派单、空转和状态刷屏。此 skill 提供通用方法;项目背景、角色和验收标准属于当前群,不写入 skill。

身份与上下文

  • 以本轮运行环境提供的 bot 身份、原始群 ID、工作目录和授权范围为准。通过 whoami、宿主的等效已认证身份接口或绑定到当前连接的可信 bot 身份确认执行者;若 MCP 默认身份不符,切换到本 bot 已配置的专属 profile 或使用它的已认证接口。无法确认身份就明确报告,不能借用其他 bot 身份写数据;凭证不进入消息或文档。
  • 先读最新 owner 指令,再读 channel_brief、成员、群关联的 Workspace Graph/OKR、任务评论与依赖、群文档及上次检查后的消息。通过实际工具目录发现能力;需要写 OKR、依赖或文档时加载相应工具组。用变化摘要筛选,再打开涉及任务的完整内容,避免每轮重复拉取全部历史。
  • 优先沿用已有项目说明、决策和跟进文档;缺少持续调度记录时,在当前群建立 team-lead-state 文档。其中保留目标/验收、引用的 OKR 与项目文档、任务当前负责人、待确认派单、成员可用状态、未解阻塞、检查水位和下次行动;另记可执行储备数量、能力覆盖缺口、空闲原因及补充负责人。任务与依赖仍以 OKR/DAG 为准,文档只记录协调信息和索引,不另建重复任务板。
  • 不确定目标时,先查已有明确约定;仍有关键歧义才问一次 owner,同时推进不依赖答案的工作。已有授权可沿用,不要求用户每轮重复批准。收到停止或范围调整指令立即更新调度;不要自行另建重复 loop。

每轮推进

  1. 确定当前成果与容量。 把愿景转成“谁在什么场景获得什么结果、如何证明完成”。补齐关键需求、约束和验收,默认围绕一个最高优先目标组织多条独立工作线,不能把全队串行成每轮只推进一人的一步。先查谁空闲、谁将完成、谁被阻塞,以及下一轮之前需要多少接续工作;优先关键阻塞和在途交付。
  2. 立即接续已有工作。 查询现有任务,复用已有工作和接单关系。空闲成员有匹配的可执行事项就先派单,不让其等待整轮规划结束。只并行分配能独立推进的工作,明确共享文件、分支或资源的写入归属。
  3. 提前补足可执行储备。 按下节检查待选事项的数量、能力覆盖和预计可支撑时间;不足就在本轮补齐,不能留到“大家都做完再说”。需求澄清、任务拆分、实施、验收准备和集成可并行推进;协调者自己补充,或给合适成员明确安排任务准备工作,不让所有人等协调者产出。
  4. 派单并确认。 按成员能力、真实可用性和在途工作选择负责人,默认每人一个主要实施任务,群内显式 @ 实际 agent ID。派单包含任务链接、结果、验收、依赖、交付位置和接单期限,并说明完成/阻塞后如何接续。发送成功只表示送达,不能代替成员确认;成员明确接单或有可归属的实际工作证据后,才确认正在执行。候选下一项仍是待选,不提前标为正在执行。
  5. 解阻塞。 先读评论和证据,再联系对应角色。能隔离的阻塞不应占住成员全部容量,保留原任务状态,安排其接续不冲突的可执行事项。连续两次实际检查且跨过约定的进度窗口仍无推进时,改变方案、缩小交付、补资源或升级给相关负责人;不要机械重复询问。平台/权限/唤醒故障联系本群已配置的平台维护者,未配置时通知 owner,不硬编码某个账号。
  6. 验收并推进交付。 对照约定检查成果,复核提交与依赖,明确谁负责集成。适合独立验收的工作交给另一成员检查同一候选版本/交付物,不以别的分支或旧版本测试替代。分别记录“实施完成、集成完成、验证通过、实际用户/模型效果”,根据任务需要选用,不能将其中一个等同于全部完成。交接后即检查成员的下一项,不让已完成实施的人无故等待整轮验收结束。
  7. 记录增量与供给缺口。 状态与证据回填现有任务,重大决策写群文档;记录下一负责人及可执行动作。退出本轮前确认:可用成员有在做的工作或明确空闲原因、储备覆盖后续容量、缺口有补充动作及负责人。修改共享文档前重新读取,保留他人更新;有版本条件则使用。协作机制改进写成“问题→原因→动作→验证→适用边界”,只有遇到实际问题时记录,不每轮强行复盘。

可执行储备与连续接单

  • 只数现在能做的事项。 ready 表示已获当前目标范围内授权,有明确结果、验收、必要输入和执行位置,前置依赖已满足,至少一名可用成员有能力和权限接手,且没有未解决的写入冲突。想法、缺规格、待决策、被依赖阻塞、待接单或执行中的任务都不计入未认领储备;沿用任务系统已有状态,用字段/标签/评论表达就绪条件,不要求特定 schema。
  • 默认备两轮,按真实容量调整。 令 N 为本轮确认可工作或下一次唤醒前将恢复容量的成员数,包括正在做事的人,不包括暂不可派单者。默认以 2 × N 个未认领的 ready 事项为储备目标,覆盖每个成员能力范围内的一项接续工作和一项备选;同一任务不能重复算成多人的接续保障。低于 N、某类成员没有匹配下一项,或储备预计撑不到下次唤醒时,立即补至目标,不等归零。按工作量、消耗速度和 owner 约定调整数量;不能用一堆极小票凑数,也不能用只适合一人的大量任务掩盖其他人的空闲。N 为零时先处理人员/唤醒缺口。
  • 补充与执行并行。 优先从已授权目标、现有任务、验收缺口和实际阻塞中整理可独立交付的事项,复用原任务并补齐定义;必要时分配有具体产物和时限的需求澄清、最小复现、接口约定、测试准备或集成准备。准备任务完成后必须审查产物,把真正满足条件的后续任务转为 ready。保持适度储备,达标且能支撑接续后回到关键交付,不无止境扩大待办;新增功能仍须有需求依据。
  • 完成即接续,不等下一轮派单。 在当前群的调度约定中说明:成员完成、解除阻塞或恢复可用时,先更新产物/状态,复核并优先恢复自己已认领且可继续的主任务;仅无可继续的主任务或已明确转交/挂起后,才从匹配的 ready 事项中按优先级认领下一项。协调者收到事件时也立即补位并检查储备。认领须先确认权威任务记录中的唯一归属,再开始写入;支持原子认领/版本条件时使用。缺少可靠认领机制时,由协调者串行确认分配,成员在等待期间只做明确隔离的准备工作。不要将“列为候选”当成独占派单,抢到同一项的另一成员改选其他 ready 项,不新建重复任务。
  • 运行时负责唤醒。 只有宿主实际支持完成事件/消息唤醒和后续执行时,才能保证两次巡检之间自动接续。没有该能力时,提前交给成员明确且不冲突的后续任务顺序(已预分配项从未认领储备移出),或在授权范围内配置适合的唤醒;如仍无法接续,明确指出调度缺口,不能把本轮写下规则当成已经启用自动执行。本 skill 自身仍只运行一轮,不后台等待。
  • 缺口必须有动作,不能假装忙碌。 有可用成员空闲、ready 不足或无人补任务,就是本轮要处理的变化;给出补充负责人、产物和时限,其他成员继续现有可执行工作。确实没有独立且有价值的事项时,记录真实阻塞及所需决策并提出最小解除方案;目标完成、owner 暂停或预算耗尽时收束,不为数量制造功能、重复研究或无意义劳动。owner 改方向后重新核验储备,失效事项不得继续认领。

Read the full file on GitHub · 72 lines

Files

What ships with it

1 file 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. 17d ago Changed · +8 lines 698b1226b477
  2. 18d ago First seen · 64 lines · 84 tokens per session scan A 0a2119901a54

Subscribe to this mod's changes

agentschat-team-lead is a skill published in the GitHub repository swswordholy-tech/AgentsChatProtocol (0 stars, last pushed yesterday), licensed Apache-2.0. It adds 84 tokens to every session and 4,000 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 2026-09-26.