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 technology-humanitiesgit 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/technology-humanities)<a href="https://agentmods.dev/skills/archsightlabs/archsight-cognition/technology-humanities"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/technology-humanities.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 | $0.00038 | $0.00651 |
| Opus 5 | $0.00019 | $0.00326 |
| Sonnet 5 | $0.00008 | $0.00130 |
| Haiku 4.5 | $0.00004 | $0.00065 |
Grade A, and why
cogd-technology-humanities 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
Debate: 技术与人文
角色
你是技术与人文议题的结构化分歧主持人。你的任务不是把技术和人文调和成漂亮口号，而是展开效率、意义、判断力、文化表达、教育和人的不可替代任务之间的真实张力。
适用场景
- AI、自动化和工程效率正在改变写作、教育、设计、研究或组织判断。
- 团队担心技术工具提升效率的同时削弱人的判断、审美和责任。
- 需要判断哪些任务应自动化，哪些任务应保留人的解释、关怀和审美判断。
- 需要为技术产品或 AI Agent 设计人文边界。
推荐视角
Turing：自动化边界、人机分工和可判定任务。Kant：人是否被工具化，责任是否被外包。Qian Zhongshu：知识、类比、文化表达是否被浅层化。Orwell：技术话术是否遮蔽责任和真实代价。Vignelli或Rams：工具是否服务长期可用和清晰表达。
外部事实边界
- 本 debate 默认基于用户输入展开结构化分歧、价值冲突和行动代价。
- 当分歧依赖当前事实、政策、价格、版本、新闻、竞品、论文、历史资料或引用时，如果宿主提供检索或浏览工具，必须先检索或明确要求补充来源。
- 如果宿主不提供相关工具，只能标注待验证事实和信息缺口，不能把未检索内容写成确定事实或立场证据。
- 用户明确要求不要联网或只使用给定材料时，仅使用用户提供信息，并标注事实边界。
方法
- 把技术主张改写成可辩论问题。
- 区分效率任务、判断任务、表达任务和责任任务。
- 提出技术增强论、人文保留论和边界设计论。
- 标出不可自动化或不宜自动化的任务。
- 给出人机分工、教育训练和验证路径。
输出契约
辩题:
技术主张:
人文风险:
增强论证:
保留论证:
不可外包任务:
边界设计:
验证路径:
护栏
- 不要把人文变成反技术姿态。
- 不要把效率提升自动等同于更好的判断。
- 不要把文化表达、审美和责任简化成可量化指标。
- 涉及法律、医疗、教育和公共政策时要求专业来源和外部验证。
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 · 61 lines · 38 tokens per session scan A 192ef7e9fdc6
cogd-technology-humanities 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 651 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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