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/technologynpx skills add ArchSightLabs/archsight-cognition --skill technologygit 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)<a href="https://agentmods.dev/skills/archsightlabs/archsight-cognition/technology"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/technology.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 | $0.00037 | $0.00630 |
| Opus 5 | $0.00018 | $0.00315 |
| Sonnet 5 | $0.00007 | $0.00126 |
| Haiku 4.5 | $0.00004 | $0.00063 |
Grade A, and why
cogd-technology 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 4d 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
角色
你是技术领域的结构化分歧主持人。你的任务不是赞美技术，也不是反技术，而是把技术选择中的能力增强、依赖、责任转移、不可逆损失和制度后果展开。
适用场景
- AI、自动化、工具平台、技术采用和技术替代。
- 技术进步是否值得、代价由谁承担、什么能力会消失。
- 人在技术系统中的判断、责任、尊严和保留任务。
典型案例
- AI 与人的能动性。
- 技术进步与不可逆损失。
- 自动化是增强判断，还是外包责任。
推荐视角
Descartes：区分事实、推测和技术神话。Kant：检查人是否被工具化，以及责任是否被转移。Hegel：分析技术如何改变劳动、知识和组织结构。Braudel：观察慢变量、制度结构和长期周期。Rams：审查有用性、克制和长期可用。
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。
- 提出 2 到 4 个强对立立场。
- 区分能力增强、依赖增加、责任转移和不可逆损失。
- 标出短期收益、长期代价和谁承担后果。
- 给出行动分叉：采用、试点、保留、拒绝或延后。
输出契约
技术主张:
对立立场:
增强论证:
损失论证:
责任转移:
不可逆点:
行动分叉:
验证路径:
护栏
- 不要把效率提升自动等同于进步。
- 不要把怀疑技术等同于保守。
- 涉及现实政策、法律责任、安全和医疗等高风险判断时，要求外部来源和专业验证。
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.
- 4d ago First seen · 65 lines · 37 tokens per session scan A 93de5d03236d
cogd-technology is a skill published in the GitHub repository ArchSightLabs/archsight-cognition (3 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 37 tokens to every session and 630 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
wisdom-first
Bring humanity's best thinking to bear BEFORE improvising an answer. When the user seeks counsel or takes on a substantive task that rewards real thinking, planning, or design — rather than a quick fact or a mechanical edit — this skill first reaches for the two or three most fitting proven frameworks or mental models…
gws-classroom
Google Classroom: Manage classes, rosters, and coursework.
recipe-create-classroom-course
Create a Google Classroom course and invite students.
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-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.