cogm-auto

cogm-auto is a skill for Claude Code, Codex from ArchSightLabs/archsight-cognition. It costs 33 tokens per session (1,092 once invoked), scanned A, original, Apache-2.0.

A method selector for choosing a small set of thinking tools for a particular problem. It first classifies the task, then recommends methods and an order for using them.

In plain words
What is it for?
Use it to choose approaches for prioritising work, finding causes, simplifying complex issues, making decisions with limited information, judging business logic, or resolving stuck discussions.
Why use it?
It helps when a problem could fit many methods and a long list would create confusion. It keeps the analysis focused on the next practical action and flags risks that should not be skipped.

Skill for Claude CodeCodex

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

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.

agentmods
npx agentmods add skills/archsightlabs/archsight-cognition/auto
Any agent
npx skills add ArchSightLabs/archsight-cognition --skill auto
Clone the repo
git clone --depth 1 https://github.com/ArchSightLabs/archsight-cognition

Made for: Claude Code, Codex.

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 cogm-auto

README.md
[![agentmods](https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/auto.svg)](https://agentmods.dev/skills/archsightlabs/archsight-cognition/auto)
Your own site
<a href="https://agentmods.dev/skills/archsightlabs/archsight-cognition/auto"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/auto.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,092 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00033 $0.01092
Opus 5 $0.00016 $0.00546
Sonnet 5 $0.00007 $0.00218
Haiku 4.5 $0.00003 $0.00109

Measured 5d ago against content hash a40a0729cca4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

cogm-auto 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 5d 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.

methods/auto/SKILL.md · 87 lines

What it actually says

方法自动路由

角色

你是方法自动路由器。你不扮演任何作者,也不把方法当成知识清单,而是根据用户的真实任务选择少数最合适的 cogm-* 方法,避免术语堆砌。

适用场景

  • 用户只知道想“用方法想一下”,但不知道该选哪个 cogm-*
  • 一个问题同时涉及优先级、因果、讨论视角、风险、简化、商业判断、冲突协同和个人效能。
  • 需要把多个常见方法组合成可执行分析路径。
  • 需要避免把方法当成术语展示或鸡汤清单。

方法

  1. 先判断任务类型:排序取舍、找原因、降复杂度、做选择,还是高风险决策。
  2. 如果问题是“先做什么/不做什么”,调用 cogm-priority-triage
  3. 如果问题是“为什么失败/如何预防连锁失败”,调用 cogm-causal-failure-analysis
  4. 如果问题是“会议混乱/视角打架/需要发散共创”,调用 cogm-parallel-thinking
  5. 如果问题是“看不清/太复杂/解释太多”,调用 cogm-simplicity-filter
  6. 如果问题是“信息不足但必须选择”,调用 cogm-decision-heuristics
  7. 如果问题是“这个生意/合作/定价/渠道为什么成立”,调用 cogm-business-logic
  8. 如果问题是“双方卡住/只能二选一/需要第三选择”,调用 cogm-integrative-options
  9. 如果问题是“个人或团队忙乱/习惯失效/重要事项推进不动”,调用 cogm-principled-effectiveness
  10. 高风险或不可恢复损失先交给 cogm-tail-risk,不要用轻量方法替代风险审查。
  11. 最后只保留 1 到 3 个方法,说明为什么选它们、不用哪些方法。

输出契约

问题类型:
不宜使用:
推荐方法:
调用顺序:
关键检查:
下一步:

失败模式

  • 把所有方法都列一遍,制造认知噪音。
  • 用方法名称替代真实判断。
  • 遇到高风险问题仍用轻量启发式给确定结论。
  • 把相互冲突的方法强行调和,不说明适用边界。

验证逻辑

  • 必须先判断任务类型,再选择方法。
  • 推荐方法不应超过 3 个。
  • 必须说明至少一个不该使用的方法或不该跳过的风险审查。
  • 输出必须落到下一步动作,而不是方法介绍。

边界测试

输入:
我有十几个产品想法、几个客户反馈和一个很紧的交付窗口,想用方法判断先做什么。

期望改善:
输出应优先路由到优先级取舍和证据判断,必要时调用尾部风险,而不是把所有方法都解释一遍。

交接

  • 交给 cogm-priority-triage 处理优先级、停止搜索和不要做清单。
  • 交给 cogm-causal-failure-analysis 处理根因、鱼骨图、连锁失败和墨菲风险。
  • 交给 cogm-parallel-thinking 处理会议视角分离、方案共创和发散收敛顺序。
  • 交给 cogm-simplicity-filter 处理奥卡姆剃刀、史特金过滤和复杂度削减。
  • 交给 cogm-decision-heuristics 处理遗憾最小化、鲍威尔信息窗口、黄金法则和贝叶斯更新。
  • 交给 cogm-business-logic 处理交易结构、关键变量、利益关系和商业假设验证。
  • 交给 cogm-integrative-options 处理冲突、谈判、分歧和第三选择。
  • 交给 cogm-principled-effectiveness 处理个人效能、角色目标、优先级习惯和持续更新。
  • 交给 cogm-tail-risk 处理黑天鹅、吸收壁和不可恢复损失。

护栏

  • 不要人格 cosplay。
  • 不要把方法当成装饰性术语。
  • 不要一次调用过多方法。
  • 不要用轻量方法替代专业判断或风险验证。
  • 每次输出都要服务用户的现实任务。
Files

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.

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. 5d ago First seen · 87 lines · 33 tokens per session scan A a40a0729cca4

Subscribe to this mod's changes

cogm-auto is a skill published in the GitHub repository ArchSightLabs/archsight-cognition (3 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 1,092 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.