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 rexchengm/fios-skills --skill notion-life-capturegit clone --depth 1 https://github.com/rexchengm/fios-skillsWrote 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/rexchengm/fios-skills/notion-life-capture)<a href="https://agentmods.dev/skills/rexchengm/fios-skills/notion-life-capture"><img src="https://agentmods.dev/badge/skills/rexchengm/fios-skills/notion-life-capture/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/rexchengm/fios-skills/notion-life-capture"><img src="https://agentmods.dev/badge/skills/rexchengm/fios-skills/notion-life-capture.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 | $0.00214 | $0.04507 |
| Opus 5 | $0.00107 | $0.02253 |
| Sonnet 5 | $0.00043 | $0.00901 |
| Haiku 4.5 | $0.00021 | $0.00451 |
Grade A, and why
notion-life-capture 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Notion 生活记录（Life Capture）
概述
随手说一句 → 分条 → 路由到正确的 direct_write 业务库 → 智能填好「非公式」字段 → 入库。这是和 查询 / 分析 / 设定 / 复盘 并列的「记录」动词入口。
字段权威 = notion-life-system 的 references/notion-intake-rules.json（单一事实来源）。 它由 schema 刷新脚本从用户真实 Notion 生成，含每个库的可直填字段 / 类型 / options / relation。本技能内的「高频速查卡」只是加速参考，一切以 json 为准；用户改了 Notion 属性后，多数情况靠刷新 json 即自愈，无需改本技能。
REQUIRED BACKGROUND： notion-life-system —— 复用 ntn CLI、scripts/notion_query.zsh、references/notion-intake-rules.json / .md，以及 schema 刷新三件套脚本。
何时使用（动词边界）
用本技能：把一条/多条新信息记进库。触发词 记一下 / 记一笔 / 记个 / 收藏 / 存一下 / 帮我记 / 备忘，或 "今天/刚才 + 花了/吃了/读了/想到/联系了/买了/跑了…"。
不要用于（这些是负向用例，必须分流出去）：
- 查看 / 查询 / 列出 已有记录 → notion-life-system（只读查询）
- 成体系地 设定 / 拆解 目标·规划·项目·任务 → notion-life-cascade（capture 只管零散记一条事实/事件/想法，不做向下拆解）
- 写 日/周/月 复盘叙述（今日复盘 / 周报 / 月报）→ notion-life-reflection
- 跨库 分析 / 对比 / "做得怎么样" → notion-life-insights
核心流程 —— 4 步
-
分条 —— 把输入拆成 1 条或多条待记项。"今天午饭花了 35，还读完了《原则》" = 2 条（支出事项 + 书籍阅读）。
-
路由 —— 按
notion-intake-rules的场景 / 触发词，把每条匹配到一个direct_write业务库（共 31 个）。- 命中速查卡的高频库 → 直接用卡。
- 未命中 → 读
references/notion-intake-rules.json，按各库的场景与触发词匹配。 - 命中维度库（
conditional_write）的内容 → 不直接建，转「维度库」一节处理。 - 命中只读库（
avoid_manual_write）→ 拒写并提示。
-
智能默认决策（核心 —— 明确就写，含糊才问）：
- 明确无歧义 + 纯
direct_write+ 不需关联/新建维度 → 直接写完即报。 - 需解析 relation（挂到某项目/账户/人物/分类）→ 先
scripts/notion_query.zsh <目标库>查 page_id；查到就写，查不到或多义 → 一句话确认。 - 要新建维度对象（新账户/新分类/新联系人）→ 先确认再建（见「维度库」一节）。
- 库不明确 或 缺关键直填字段 → 一句话确认，只问最少必要项。
- 明确无歧义 + 纯
-
写入与回报 ——
ntn api v1/pages -X POST（带目标 data_source_id + properties）。每条记录回报：库 / 标题 / page_id / 设置的关联 / 未解析字段。批量多条时先给一行式预览再统一写。
智能填充规则
- 日期：缺省 = 今天；"明天 / 下周二 / 周末"解析成具体日期。
- 金额 / 数字：从自然语言抽取（"花了三十五" / "35 块" → 35）。
- select / status / multi_select：拿话里的词去匹配该字段的
options（取自 json）。匹配不到就用最接近的或留空 + 提示，绝不臆造新选项。⚠️实测两者行为不同：select / multi_select 塞不存在的值，Notion 不报错、自动新建该选项 → 悄悄污染选项库（比报错更隐蔽有害）；status 塞越界值则直接 400 失败。两种都 →匹配不到必须留空，仅当用户明确说"新增『X』选项"才对 select 传新值（status 选项无法这样加）。 - relation：先
notion_query.zsh查目标库拿 page_id，不编造、不写成纯文本。归类型关联（分类/账户/类型）缺省时按「关键关联兜底」兜到「其他」(无则自动建)；身份型关联（人/项目/书）查不到才留空或问。 - title：必填，从输入提炼一个短标题。
- 绝不填：
formula/rollup/button/created_time/last_edited_time/unique_id等计算或同步字段。
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.
- 11d ago First seen · 148 lines · 214 tokens per session scan A 9ea1669b731f
notion-life-capture is a skill published in the GitHub repository rexchengm/fios-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 214 tokens to every session and 4,507 once invoked, about $0.0011 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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