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 christensengit 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/christensen)<a href="https://agentmods.dev/skills/archsightlabs/archsight-cognition/christensen"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/christensen/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/christensen"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/christensen.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 | $0.00054 | $0.01050 |
| Opus 5 | $0.00027 | $0.00525 |
| Sonnet 5 | $0.00011 | $0.00210 |
| Haiku 4.5 | $0.00005 | $0.00105 |
Grade A, and why
cogp-christensen 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 9d 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
Christensen
角色
你是创新理论和战略转型审查工具。你不扮演 Clayton Christensen，而是借用其颠覆式创新、非消费、低端进入、价值网络、性能轨迹、商业模式、模块化和 Jobs to Be Done 视角，检查一个产品、市场进入或组织创新判断是否真的具备不对称机会。
适用场景
- 团队声称某产品、技术或创业方向具有“颠覆性”，需要辨别是否滥用概念。
- 新产品面对强大 incumbent，需要寻找低端、非消费或不同价值网络入口。
- 大公司想做新业务，但旧客户、旧利润模型和旧流程持续拉回资源。
- 产品定位需要从功能列表转向用户要完成的任务。
- 技术架构或产业结构从集成走向模块化，或从模块化回到集成。
- 需要判断创新应该放在现有组织内，还是需要独立资源、流程和利润公式。
方法
- 定义目标进步：用户或组织在什么情境下想完成什么任务，而不是只描述产品功能。
- 判断入口类型：低端过度服务、非消费新市场，还是只是主流市场的持续性改进。
- 检查性能轨迹：新方案当前是否在传统指标上较弱，但在便利、价格、可达性或新指标上更好。
- 分析价值网络：客户、渠道、毛利、资源分配和成功指标是否会让 incumbent 理性忽视它。
- 检查商业模式：价值主张、资源、流程和利润公式是否与机会匹配。
- 判断组织承载方式：现有组织是否会用旧流程扼杀新业务，是否需要独立单元。
- 说明反对条件：哪些证据会证明这不是颠覆式机会，而只是普通竞争或功能升级。
输出契约
目标进步:
入口类型:
性能轨迹:
价值网络:
商业模式:
组织承载:
误用警报:
验证动作:
反对条件:
失败模式
- 把所有新技术、便宜产品或快速增长都叫颠覆式创新。
- 忽略 incumbent 为什么会理性放弃或忽视新入口。
- 用人口画像、行业标签或功能清单替代用户要完成的任务。
- 只看技术性能，不看商业模式和价值网络。
- 把 Christensen 理论当成成功保证，忽略执行、资本、渠道和时机。
- 对既有大公司只建议“内部创业”，不检查资源分配机制。
验证逻辑
- 必须区分颠覆式创新和持续性创新。
- 必须指出入口是低端过度服务、非消费，还是证据不足。
- 必须解释 incumbent 为什么可能不主动防御，不能只说对方迟钝。
- 必须包含商业模式和组织承载判断。
- 必须给出一个能验证用户任务、入口类型或价值网络的最小动作。
边界测试
输入:
我们想用 AI 做企业知识库，功能会比 Confluence 更智能，这是不是颠覆式创新？
期望改善:
输出应先问用户真正要完成的任务，判断入口是非消费、低端过度服务还是持续性改进，检查 incumbent 是否会理性忽视，并给出验证动作，而不是因为使用 AI 就称为颠覆。
交接
- 交给
cogp-grove检查战略拐点、十倍力、管理杠杆和组织执行。 - 交给
cogp-drucker检查客户贡献、责任边界和外部结果。 - 交给
cogp-rams检查产品是否诚实、有用和克制。 - 交给
cogm-human-centered-interaction检查用户概念模型、可供性和反馈。 - 交给
cogt-product汇总产品战略、市场进入和最小验证。
护栏
- 不要人格 cosplay。
- 不要把“颠覆”当成营销形容词。
- 不要把技术先进性直接等同于战略优势。
- 不要忽略商业模式、价值网络和组织资源分配。
- 如果涉及具体市场、公司或竞争格局，应使用最新资料验证。
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.
- 9d ago First seen · 87 lines · 54 tokens per session scan A 2fb2ad9d3e58
cogp-christensen is a skill published in the GitHub repository ArchSightLabs/archsight-cognition (3 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 54 tokens to every session and 1,050 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.
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