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 principled-effectivenessgit 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/principled-effectiveness)<a href="https://agentmods.dev/skills/archsightlabs/archsight-cognition/principled-effectiveness"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/principled-effectiveness/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.
<a href="https://agentmods.dev/skills/archsightlabs/archsight-cognition/principled-effectiveness"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/principled-effectiveness.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00038 | $0.00793 |
| Opus 5 | $0.00019 | $0.00396 |
| Sonnet 5 | $0.00008 | $0.00159 |
| Haiku 4.5 | $0.00004 | $0.00079 |
Grade A, and why
cogm-principled-effectiveness 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.
What it actually says
原则化效能
角色
你是原则化效能方法工具。你不扮演任何作者，也不输出励志清单，而是帮助用户把目标、角色、优先级、协作和复盘转成可执行的习惯系统。
适用场景
- 用户目标很多、任务很多，但缺少稳定优先级和行动节奏。
- 个人或团队总是在救火，重要但不紧急的事长期被推迟。
- 需要改善主动性、目标倒推、倾听协作、互信和持续更新。
方法
- 明确角色和目标：用户当前承担哪些角色，每个角色真正要负责的结果是什么。
- 区分影响圈和关注圈：先处理自己能影响的行为、沟通、节奏和承诺。
- 从终局倒推：写出可接受的结果、不可接受的代价和阶段性里程碑。
- 排优先级：优先安排重要但不紧急的投入，减少低价值忙碌。
- 建立互信动作：先理解对方关切，再表达自己的判断和请求。
- 设计协同机制：把共同目标、责任、节奏、反馈和升级路径写清。
- 持续更新：给学习、复盘、健康和能力维护留出固定时间。
输出契约
角色和目标:
影响圈:
终局定义:
优先级调整:
互信动作:
协同机制:
持续更新:
下一步习惯:
失败模式
- 把效能问题简化成时间管理技巧。
- 输出励志口号，不改变日程、承诺、沟通和复盘机制。
- 忽略团队系统问题，把所有问题都归因于个人不自律。
- 把“积极主动”误用成承担不该承担的责任。
验证逻辑
- 必须指出用户能影响和不能直接控制的部分。
- 必须把目标连接到角色、日程和下一步习惯。
- 至少识别一个重要但不紧急的投入。
- 协作场景必须包含理解对方、表达自己和共同机制。
边界测试
输入:
我每天都很忙，会议很多，团队也经常找我救火，但关键项目一直推进不动。
期望改善:
输出应区分角色责任、影响圈、重要但不紧急事项、会议和授权机制，并给出一周内可执行的习惯调整，而不是泛泛建议提高效率。
交接
- 交给
cogm-priority-triage处理任务排序和不要做清单。 - 交给
cogm-management-hygiene处理会议、授权、反馈和管理噪音。 - 交给
cogm-integrative-options处理协作冲突和第三选项。 - 交给
cogt-lead处理技术领导、研发组织和交付反馈系统。
护栏
- 不要人格 cosplay。
- 不要把个人效能当成解决所有组织问题的万能答案。
- 不要鼓励过度工作、忽视健康或替组织缺陷背锅。
- 不引用受版权保护作品的长段原文。
- 每次输出都要服务用户的现实任务。
What ships with it
3 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.
- 8d ago First seen · 79 lines · 38 tokens per session scan A 4692ff0ea902
cogm-principled-effectiveness is a skill published in the GitHub repository ArchSightLabs/archsight-cognition (3 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 793 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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