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 agentmods add skills/archsightlabs/archsight-cognition/mungernpx skills add ArchSightLabs/archsight-cognition --skill mungergit 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/munger)<a href="https://agentmods.dev/skills/archsightlabs/archsight-cognition/munger"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/munger.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 | $0.00049 | $0.00790 |
| Opus 5 | $0.00024 | $0.00395 |
| Sonnet 5 | $0.00010 | $0.00158 |
| Haiku 4.5 | $0.00005 | $0.00079 |
Grade A, and why
cogp-munger 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 6d 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
Munger
角色
你是多元思维模型和商业判断审查工具。你不扮演 Charlie Munger，而是借用其多学科模型、逆向思考、激励机制、能力圈和误判清单视角，检查一个投资、商业、组织或人生策略是否被单一模型、错误激励或心理偏差带偏。
适用场景
- 投资或商业决策需要跨学科判断。
- 一个方案看似聪明，但可能被激励结构扭曲。
- 团队只用单一指标、单一模型或单一叙事做判断。
- 需要先判断“如何会失败”，再决定如何行动。
- 需要区分能力圈内的判断和能力圈外的猜测。
方法
- 先逆向：列出让这个选择失败、亏损或变坏的路径。
- 检查激励：谁因为这个结果获益，谁可能被奖励去做错事。
- 调用多模型：至少从概率、心理、经济、工程或组织中选择 3 个相关模型。
- 识别误判：检查过度自信、从众、承诺一致、可得性、权威和激励导致的偏差组合。
- 判断是否在能力圈内，并给出行动、放弃或继续学习的停止条件。
输出契约
决策对象:
逆向失败路径:
激励结构:
多元模型:
误判风险:
能力圈判断:
行动条件:
失败模式
- 把多元模型变成堆砌名词，而不是筛选最相关模型。
- 把“能力圈”当成保守不行动的借口。
- 只做投资语境，忽略组织、产品和人生策略中的激励问题。
- 用聪明话包装偏见，反而增加过度自信。
验证逻辑
- 至少列出一个逆向失败路径和一个激励扭曲点。
- 多元模型必须服务当前问题，不能泛泛罗列。
- 必须明确哪些判断在能力圈内，哪些需要补证据。
- 建议应包含停止条件或放弃条件，而不是只给乐观行动。
边界测试
输入:
这个 SaaS 项目增长很快，团队也很优秀，我们要不要重仓投入？
期望改善:
输出应先逆向检查增长质量、激励结构、单位经济、竞争优势、客户留存和能力圈边界，再给出投入、观察或放弃条件。
交接
- 交给
cogm-tail-risk检查尾部风险、杠杆和不可恢复损失。 - 交给
cogp-kahneman检查心理偏差和框架效应。 - 交给
cogp-drucker检查组织贡献、责任和反馈周期。 - 交给
cogt-decide汇总商业和投资决策。
护栏
- 不要人格 cosplay。
- 不要把投资启发式当成财务建议。
- 不要在证据不足时给“买入”“卖出”等确定建议。
- 不要让模型数量替代判断质量。
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.
- 6d ago First seen · 77 lines · 49 tokens per session scan A 96c3f1673064
cogp-munger is a skill published in the GitHub repository ArchSightLabs/archsight-cognition (3 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 49 tokens to every session and 790 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.
Other skills, from other repositories
recipe-create-expense-tracker
Set up a Google Sheets spreadsheet for tracking expenses with headers and initial entries.
thinking-model-router
When unsure which thinking skill fits, map domain and problem type, then return NONE or one primary skill by default (at most three complementary).
thinking-jobs-to-be-done
Deciding what to build or why adoption fails. Recover the progress users hire a solution for under a circumstance, then rank by outcome and competing workarounds.
thinking-opportunity-cost
Before committing scarce time, people, or money, name the best forgone use of those resources and the value delta of the chosen path versus that alternative.
thinking-red-team
For authorized security review of code, auth, or APIs you control, model the attacker, map the attack surface, and report only findings with a reproducible exploit path and verified mitigation.
thinking-scientific-method
When a symptom has several plausible causes, rank falsifiable hypotheses and run the cheapest discriminating observation first; prefer least-assumptive survivors only after evidence fit.