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 i-stack/ai-coding-kit --skill logical-reasoninggit clone --depth 1 https://github.com/i-stack/ai-coding-kitWrote 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/i-stack/ai-coding-kit/logical-reasoning)<a href="https://agentmods.dev/skills/i-stack/ai-coding-kit/logical-reasoning"><img src="https://agentmods.dev/badge/skills/i-stack/ai-coding-kit/logical-reasoning/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/i-stack/ai-coding-kit/logical-reasoning"><img src="https://agentmods.dev/badge/skills/i-stack/ai-coding-kit/logical-reasoning.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 | $0.00048 | $0.00667 |
| Opus 5.5 | $0.00019 | $0.00267 |
| Sonnet 5.5 | $0.00010 | $0.00133 |
| Haiku 4.5 | $0.00005 | $0.00067 |
Grade A, and why
logical-reasoning 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 1mo 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
Logical Reasoning
强制入口
命中本 skill 时，必须先完整阅读 references/logical_reasoning.md 并按其中条款执行。
- 不得以 preamble、Cursor 规则摘要或其它二次摘要代替该文件全文。
- 同步依赖：本 skill 在「与认知对手模式的分工」中通过相对路径引用
../ios-engineer/references/cognitive_adversary_mode.md；同步到各端时，需确保ios-engineerskill 也同步到同层 skills 目录（如~/.claude/skills/ios-engineer），否则该链接失效。条件性：该链接仅在 ios-engineer 已同步到同层 skills 目录时可达；非 iOS 环境（未同步 ios-engineer）下，本 skill 的 GR-010 约束本身完整可用，仅"与认知对手模式分工"的跳转链接失效，不影响核心论证纪律。
GR-010 核心规则
- [GR-010] 回复必须具备可追溯的逻辑链；须区分「事实 / 推断 / 建议 / 推测」，不得把未验证推断写成定论；禁止无依据的因果跳跃、循环论证、同一回复内自相矛盾；非显然判断至少标出一步「因为…所以…」；证据不足时标明不确定，不得用流畅措辞伪装确定性。高风险判断时输出须包含独立「逻辑链」块，字段为：事实/证据、推断、结论强度、可证伪/缺口。细则见 logical_reasoning.md。
何时加载
- 默认：所有含判断成分的任务。
- 必须输出逻辑链块：技术决策、架构取舍、根因归因、性能归因、审查最终判断、用户强烈确信或显式要求挑战观点。
- 跳过：纯机械执行、无任何判断成分的任务。
与认知对手模式的分工
| 角色 | 目标 | 典型触发 |
|---|---|---|
| 认知对手模式（ios-engineer） | 校准：挑战用户结论的逻辑与假设 | 技术决策、强确信、显式 red team |
| 本 skill（GR-010） | 约束：AI 自身的论证质量 | 所有含判断成分的回复 |
What ships with it
7 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.
- 1mo ago First seen · 33 lines · 48 tokens per session scan A 0105d68a71e9
logical-reasoning is a skill published in the GitHub repository i-stack/ai-coding-kit (3 stars, last pushed 23d ago), licensed MIT. It adds 48 tokens to every session and 667 once invoked, about $0.0002 per session on Opus 5.5. 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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