daily-deep-brief

daily-deep-brief is a skill for Claude Code, Codex from KCNyu/clawock. It costs 163 tokens per session (28,303 once invoked), scanned A, original, MIT.

A scheduled, pre-market investment briefing for Hong Kong and United States stocks. A deterministic preparation step gathers data and an agent adds judgment, while a later step validates and publishes the result.

In plain words
What is it for?
Use it for the weekday 08:00 Hong Kong-time briefing window. It supports market factors, risks, evidence, retrospective notes, and a planned view of the relevant stocks.
Why use it?
It reduces omissions in recurring briefs by making the data collection, checks, and publication steps explicit instead of relying entirely on free-form analysis.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: mentions AGENTS.md; built for openclaw.

Good fit Use it for the weekday 08:00 Hong Kong-time briefing window. It supports market factors, risks, evidence, retrospective notes, and a planned view of the relevant stocks.

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Install with agentmods
npx agentmods add skills/kcnyu/clawock/daily-deep-brief
Install

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.

Any agent
npx skills add KCNyu/clawock --skill daily-deep-brief
Clone the repo
git clone --depth 1 https://github.com/KCNyu/clawock

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for daily-deep-brief

README.md
[![agentmods](https://agentmods.dev/badge/skills/kcnyu/clawock/daily-deep-brief/github.svg)](https://agentmods.dev/skills/kcnyu/clawock/daily-deep-brief)
Your own site
<a href="https://agentmods.dev/skills/kcnyu/clawock/daily-deep-brief"><img src="https://agentmods.dev/badge/skills/kcnyu/clawock/daily-deep-brief/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.

agentmods 80×15 button for daily-deep-brief

Your own site · 80×15
<a href="https://agentmods.dev/skills/kcnyu/clawock/daily-deep-brief"><img src="https://agentmods.dev/badge/skills/kcnyu/clawock/daily-deep-brief.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 163 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 28,303 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00163 $0.28303
Opus 5.5 $0.00065 $0.11321
Sonnet 5.5 $0.00033 $0.05661
Haiku 4.5 $0.00016 $0.02830

Measured 2d ago against content hash 9e0455231f91, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

daily-deep-brief 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 2d 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.

skills/daily-deep-brief/SKILL.md · 1,029 lines

How it starts

The opening of the file, as written. The whole thing — 1,029 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Daily Deep Brief (08:03 HKT, weekday)

8 点这个时点:HK 开盘前 ~90 分钟,US 已收盘 ~4 小时。盘前是 deep think 最好的窗口 — 有完整夜间消息面,没有盘中执行压力。

Harness 架构(不可越权)

┌──────────────────────┐   ┌────────────────┐   ┌──────────────────────────┐
│ clawock brief preflight │──►│ LLM (你 / Rick) │──►│ clawock brief postflight  │
│   (确定性 + 幂等)      │   │ (只写判断/反方) │   │ 校验 → 渲染 → 投递        │
└──────────────────────┘   └────────────────┘   └──────────────────────────┘
   指标/因子/风险/evidence     查 packet summary     校验 plan+judgment,
   编译 typed packet           写 plan + judgment    brief_render 出 md+微信卡,
                               (纯文本,不写版式)    Pages 只读稳定 projection

为什么这样分:之前完全交给 LLM,模型可能漏快照、漏 HHI、漏 FX、漏 retrospective。 确定性步骤交给脚本(一定执行,无遗漏);LLM 只做"分析综合"这个不能脚本化的部分。

🔒 Exec 铁律:退出码就是整回合的判据

每一条 exec 的退出码会被当成整个回合的成败。 一条中途的非零退出会让 cron 把 已经做完并已投递的一轮判成 error(2026-08-18:简报全部产出、wechat_sent: true、 commit+push 都成了,但一条读「可能不存在的文件」的 exec 非零退出,整轮仍被记成红)。

规则正文只有一份:本回合任务消息里的「Exec 契约」(源文件 config/cron-payloads/_exec-contract.md,简报、报告、盘中共用)。本 skill 不另写一套, 两句话的要点:

  • 探测(读可选文件、ls/grep/head/test)给那一条探测自己兜底 || true。
  • 业务步骤(preflight / postflight)的结果必须原样可见:不接管道、不补 || true / ; true,只允许 ; echo "EXIT=$?"。preflight 退 2 就是失败,不是「今天还没产出」。

配套的窄规则见 Step 5 的「送达确认铁律」(#558):那条禁的是 postflight 之后再去读 marker 确认送达。

6-step 流程(严格按顺序)

Step 1: 跑 preflight(一行命令搞定所有确定性活)

clawock brief preflight

行情失败闸:US 或 HK 刷新失败时,preflight 退出 1,并把本日 context 与 manifest 换成 price_refresh_failed 的失败代(无持仓数字、无 decision packet)。 看到该状态立即结束本轮,不写 plan/judgment,不调用 postflight;修复行情后重跑 preflight。fallback 会拒绝生成,postflight 也会阻止发布。其他资料采集警告仍按 本次 context 的 issues 逐项披露。

这一步内部做了:

  1. clawock analyze-us — US 价格刷新(7-route fallback + RSI/MA)
  2. clawock analyze-hk — HK 价格刷新(Tencent 主源 + Eastmoney 全量独立对账/兜底 → stooq → yfinance + 恒指 + 信号)
  3. clawock fx --json — USDHKD 实时汇率(Frankfurter → exchangerate.host → Yahoo)
  4. cp portfolio.json memory/snapshots/{date}.json — 每日快照(longitudinal 基础设施)
    • 为什么:portfolio.json 是滚动覆盖的 ground truth,每次刷价就丢前一刻状态。 有 snapshot 历史才能做 Rolling P&L 曲线 / Alpha vs benchmark / Drawdown 分析 / Position 变化追溯。
    • ⚠️ 不可补做 — 每过一天少一份永远拿不回来的数据。
  5. HHI / Top2 集中度算法(HK + US leg 分开)
  6. SEC EDGAR fundamentals — 从当天 portfolio.json 动态筛选 shares > 0 的 US 持仓;跳过 is_leveraged_etf=true 或被名称启发式识别为杠杆 ETF 的标的,其余单股逐一跑 clawock filings
    • 杠杆 ETF 检测启发式(name 关键词):'倍', 'Direxion', 'T-Rex', 'Defiance', 'ProShares', '2X Long', '3X Long', 'Daily Target'
    • 不在文档硬编码 ticker;实际名单以当天持仓和上述动态过滤结果为准
  7. Retrospective:读 prior v2 plan,对每个 decision 按 strategy 检查 condition 是否触发、模拟 benefit 与 confidence calibration

Read the full file on GitHub · 1,029 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 2d ago Changed 9e0455231f91
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  3. 4d ago Changed · -106 lines f4f8b040e46c
  4. 5d ago Changed · +1 lines f49fe0ad8f57
  5. 7d ago Changed · +4 lines 644fe5d4d1b5
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  8. 13d ago Changed · +13 lines 786455dfc231
  9. 14d ago Changed · -11 lines 7b8549f52568
  10. 15d ago First seen · 1,127 lines · 163 tokens per session scan A 8f87e960d2a3

Subscribe to this mod's changes

daily-deep-brief is a skill published in the GitHub repository KCNyu/clawock (21 stars, last pushed today), licensed MIT. It adds 163 tokens to every session and 28,303 once invoked, about $0.0007 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 2026-08-30.

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