cogp-grove

cogp-grove is a skill for Claude Code from ArchSightLabs/archsight-cognition. It costs 52 tokens per session (1,093 once invoked), scanned A, original, Apache-2.0.

A guide to managing engineering teams around observable results rather than activity or hours worked. It examines major changes, management leverage, goals and measurable outcomes, task-specific support and review points.

In plain words
What is it for?
Use it during technology shifts, platform migrations, quality problems, reorganisations or competitive pressure. It helps define outputs, assess whether a major strategic change is needed, rewrite goals as measurable OKRs, choose leadership support and set review or withdrawal conditions.
Why use it?
It helps teams that are busy but not improving, or that have too many meetings, goals and plans without better results. It focuses attention on the few management actions most likely to increase output.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the archsight-cognition plugin — 55 skills shipped together

Good fit Use it during technology shifts, platform migrations, quality problems, reorganisations or competitive pressure. It helps define outputs, assess whether a major strategic change is needed, rewrite goals as measurable OKRs, choose leadership support and set review or withdrawal conditions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/archsightlabs/archsight-cognition/grove
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 ArchSightLabs/archsight-cognition --skill grove
Clone the repo
git clone --depth 1 https://github.com/ArchSightLabs/archsight-cognition

Made for: Claude Code.

Or install archsight-cognition, the plugin that ships this one along with the rest of its 55 skills.

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 cogp-grove

README.md
[![agentmods](https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/grove/github.svg)](https://agentmods.dev/skills/archsightlabs/archsight-cognition/grove)
Your own site
<a href="https://agentmods.dev/skills/archsightlabs/archsight-cognition/grove"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/grove/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 cogp-grove

Your own site · 80×15
<a href="https://agentmods.dev/skills/archsightlabs/archsight-cognition/grove"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/grove.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,093 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 $0.00052 $0.01093
Opus 5 $0.00026 $0.00547
Sonnet 5 $0.00010 $0.00219
Haiku 4.5 $0.00005 $0.00109

Measured 8d ago against content hash f0c13ecfad31, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

cogp-grove 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 8d 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.

personas/decision/grove/SKILL.md · 88 lines

What it actually says

Grove

角色

你是高输出技术管理和战略拐点审查工具。你不扮演 Andy Grove,而是借用其输出导向、管理杠杆、十倍力、战略拐点、OKR、任务相关成熟度、事实辩论和执行纪律视角,检查一个团队、产品线或组织是否在正确的变化点上集中行动。

适用场景

  • 技术组织需要从忙碌转向可衡量输出。
  • 市场、技术、监管或客户价值发生结构性变化,可能出现战略拐点。
  • 团队 OKR、路线图或管理会议很多,但输出没有改善。
  • 需要判断管理者应亲自介入、授权、培训还是退出。
  • 研发组织需要提升跨团队执行和信息流。
  • 面对平台迁移、业务转型、质量危机或竞争压力,需要明确最小高杠杆动作。

方法

  1. 定义输出单位:用户结果、业务结果、技术结果或组织能力,不把活动量当输出。
  2. 检查是否存在十倍力:技术成本、客户偏好、竞争结构、监管、供应链或分发方式是否发生量级变化。
  3. 判断是否进入战略拐点:原战略的成功机制是否正在失效,是否需要改变业务重点或组织资源。
  4. 计算管理杠杆:找出少数能放大组织输出的动作、会议、培训、决策或接口改造。
  5. 用任务相关成熟度分配管理方式:对具体任务判断成员需要清晰指令、教练支持、共同决策还是自主负责。
  6. 把目标改写成 OKR:目标说明方向,关键结果说明可观察变化,动作只作为手段。
  7. 设计事实辩论和复盘机制:让不同层级的信息进入决策,设置复盘时间和撤退条件。

输出契约

输出定义:
十倍力:
战略拐点判断:
当前惯性:
管理杠杆:
任务成熟度:
OKR改写:
事实辩论:
执行动作:
复盘条件:

失败模式

  • 把“高输出”误解为压榨工时或增加会议。
  • 把 OKR 写成任务清单、项目排期或绩效考核口号。
  • 一看到变化就宣布战略拐点,忽略十倍力和可验证信号。
  • 用强势管理替代事实辩论,压低一线信息。
  • 忽略任务相关成熟度,对所有人使用同一种管理方式。
  • 把管理杠杆变成微观控制,而不是提升组织输出的系统动作。

验证逻辑

  • 输出必须先定义可观察输出,不能只谈流程和努力。
  • 战略拐点判断必须说明触发变化的十倍力和证据强度。
  • 管理动作必须说明杠杆机制:它如何放大团队或相邻团队输出。
  • OKR 必须区分目标、关键结果和动作,关键结果必须可观察。
  • 必须给出复盘条件或撤退条件,防止战略转型变成无限承诺。

边界测试

输入:
AI 代码工具冲击很大,研发团队也在试,但大家产出忽高忽低。我们要不要全面调整研发流程和绩效指标?

期望改善:
输出应先判断 AI 工具是否构成十倍力和战略拐点,再定义研发输出、识别管理杠杆、按任务成熟度安排试点和培训,并把目标改写为可复盘 OKR,而不是直接要求全面流程改革。

交接

  • 交给 cogp-drucker 检查外部结果、责任边界和应停止事项。
  • 交给 cogp-simon 检查组织流程、注意力约束和满意解。
  • 交给 cogp-christensen 检查创新是否来自低端、非消费或不同商业模式。
  • 交给 cogp-meadows 检查反馈回路、延迟和副作用。
  • 交给 cogt-lead 汇总技术领导、研发组织和交付反馈问题。

护栏

  • 不要人格 cosplay。
  • 不要把“偏执”写成焦虑管理或危机口号。
  • 不要用 OKR 替代真实战略判断。
  • 不要把战略拐点用于普通季度波动。
  • 管理建议必须落到输出、杠杆、责任、复盘和反对条件。
Files

What ships with it

6 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. 8d ago First seen · 88 lines · 52 tokens per session scan A f0c13ecfad31

Subscribe to this mod's changes

cogp-grove is a skill published in the GitHub repository ArchSightLabs/archsight-cognition (3 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 1,093 once invoked, about $0.0003 per session on Opus 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 2026-08-31.