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/infotradescout/selective-intelligence/docsnpx skills add infotradescout/Selective-Intelligence --skill docsgit clone --depth 1 https://github.com/infotradescout/Selective-IntelligenceWhat 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 | $0.00170 | $0.02006 |
| Opus 5 | $0.00085 | $0.01003 |
| Sonnet 5 | $0.00034 | $0.00401 |
| Haiku 4.5 | $0.00017 | $0.00201 |
Grade A, and why
selective-intelligence 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 3d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
27 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.
- .nojekyll 0 B
- .well-known/selective-intelligence.json 14 KB
- 956490d8c7764dcf8fa9cb7482a32f4e.txt 33 B
- AI-GUIDE.md 7.6 KB
- ai-guide/index.html 8.1 KB
- assets/site.css 3.8 KB
- CITATION.cff 853 B
- discovery-queries.json 27 KB
- feed.xml 6.3 KB
- index.html 18 KB
- llms-full.txt 33 KB
- llms.txt 5.8 KB
- problems/ai-built-the-wrong-thing/index.html 9.1 KB
- problems/free-ai-coding-workflow/index.html 9.3 KB
- problems/index.html 12 KB
- problems/one-prompt-website-first-deliverable/index.html 10 KB
- problems/reduce-ai-token-usage/index.html 9.2 KB
- problems/repository-drift/index.html 9.0 KB
- problems/research-without-hallucinations/index.html 9.2 KB
- problems/ui-component-sprawl/index.html 8.9 KB
- problems/vague-idea-to-complete-outcome/index.html 9.3 KB
- questions/index.html 34 KB
- robots.txt 319 B
- selective-intelligence.json 14 KB
- sitemap.xml 4.1 KB
- try/index.html 9.0 KB
- use-with-ai/index.html 13 KB
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.
- 3d ago First seen · 91 lines · 170 tokens per session scan A 9b1399671cd5
selective-intelligence is a skill published in the GitHub repository infotradescout/Selective-Intelligence (3 stars, last pushed 4d ago), with no licence file. It adds 170 tokens to every session and 2,006 once invoked, about $0.0009 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
chinese-documentation
中文文档排版参考——中英文空格、全半角标点、术语保留、链接格式、中文文案排版指北约定。仅在用户显式 /chinese-documentation 时调用，不要根据上下文自动触发。.
chinese-git-workflow
国内 Git 平台配置参考——Gitee、Coding.net、极狐 GitLab、CNB 的 SSH/HTTPS/凭据/CI 接入差异与镜像同步配置。仅在用户显式 /chinese-git-workflow 时调用，不要根据上下文自动触发。.
chinese-code-review
中文 review 沟通参考——话术模板、分级标注（必须修复/建议修改/仅供参考）、国内团队常见反模式应对。仅在用户显式 /chinese-code-review 时调用，不要根据上下文自动触发。.
dispatching-parallel-agents
当面对 2 个以上可以独立进行、无共享状态或顺序依赖的任务时使用.
executing-plans
当你有一份书面实现计划需要在单独的会话中执行，并设有审查检查点时使用.
verification-before-completion
在宣称工作完成、已修复或测试通过之前使用，在提交或创建 PR 之前——必须运行验证命令并确认输出后才能声称成功；始终用证据支撑断言.