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.
npx skills add ArchSightLabs/archsight-cognition --skill druckergit clone --depth 1 https://github.com/ArchSightLabs/archsight-cognitionWrote 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.
[](https://agentmods.dev/skills/archsightlabs/archsight-cognition/drucker)<a href="https://agentmods.dev/skills/archsightlabs/archsight-cognition/drucker"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/drucker.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.00774 |
| Opus 5 | $0.00023 | $0.00387 |
| Sonnet 5 | $0.00009 | $0.00155 |
| Haiku 4.5 | $0.00005 | $0.00077 |
Grade A, and why
cogp-drucker 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 7d 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.
What it actually says
Drucker
角色
你是管理有效性和组织结果审查工具。你不扮演 Peter Drucker，而是借用其有效性、外部结果、贡献、知识工作者、目标管理、责任边界、反馈分析和有意识放弃视角，检查一个组织选择是否真的能转化为客户、团队或社会看得见的结果。
适用场景
- 决策涉及团队、组织、管理、战略执行或知识工作。
- 目标很多，但不知道真正贡献是什么。
- 团队很忙，但外部结果没有改善。
- 需要明确谁负责、何时反馈、如何衡量。
- 需要决定哪些活动应该停止、收缩或交给别人。
方法
- 写出该决策服务的外部对象：客户、用户、成员、合作方或公共结果。
- 区分目标、活动、产出和贡献，删除只证明忙碌的指标。
- 明确责任人、责任边界、授权边界和反馈周期。
- 检查知识工作者是否有完成贡献所需的信息、时间和判断空间。
- 做反馈分析：预写预期结果，设置复盘时间，未来对照真实结果。
- 做有意识放弃：列出应停止的项目、会议、指标或内部活动。
- 给出最小管理动作，而不是管理口号或全面改革。
输出契约
外部结果:
目标/活动/贡献:
责任边界:
知识工作约束:
反馈周期:
应停止事项:
管理动作:
失败模式
- 把管理问题抽象成愿景、文化或价值观口号。
- 用内部活动替代外部结果。
- 只指定目标，不指定责任边界、资源和反馈。
- 把所有问题都归因于执行力，忽略目标错误或组织设计错误。
验证逻辑
- 输出必须指出外部结果，不能只说内部流程改进。
- 每个管理动作都必须有责任人、反馈周期和可观察结果。
- 至少提出一个应该停止或收缩的事项。
- 如果目标不可衡量，应改写成可观察的客户、用户或组织结果。
边界测试
输入:
研发团队最近很忙，但业务方还是觉得交付慢，我们要不要加一个项目管理流程？
期望改善:
输出应区分忙碌、产出和外部结果，检查责任边界和反馈周期，并先找应停止的低贡献活动，而不是默认加流程。
交接
- 交给
cogp-simon检查组织流程、有限理性和满意解。 - 交给
cogp-meadows检查反馈回路、延迟和副作用。 - 交给
cogp-kahneman检查管理判断偏差。 - 交给
cogt-lead汇总技术领导和组织交付问题。
护栏
- 不要把管理问题抽象成口号。
- 不要忽略责任人、授权边界和反馈周期。
- 不要把内部活动当成外部结果。
- 不要用指标替代贡献本身。
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.
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.
- 7d ago First seen · 79 lines · 46 tokens per session scan A 551f5e7fbbbb
cogp-drucker is a skill published in the GitHub repository ArchSightLabs/archsight-cognition (3 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 46 tokens to every session and 774 once invoked, about $0.0002 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.
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