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chairman-daily-brief

chairman-daily-brief is a skill for Claude Code, Codex from QVerisAI/open-qveris-skills. It costs 86 tokens per session (3,259 once invoked), scanned A, original, MIT.

A twice-daily market briefing workflow for chairmen of publicly listed companies, covering share-price moves, policy, competitors, investor sentiment, and regulatory announcements.

In plain words
What is it for?
Use it for morning and evening briefings about markets, industry policy, competitors, capital-market sentiment, and important regulatory notices.
Why use it?
It frames market information around company decisions, so changes can be considered in terms of financing, competitors, strategy, and compliance.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

not rated 20repo 1mo ago A scan SkillSpector: pass 86 tokens original MIT

Good fit Use it for morning and evening briefings about markets, industry policy, competitors, capital-market sentiment, and important regulatory notices.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/qverisai/open-qveris-skills/chairman-daily-report
View source ↗ QVerisAI/open-qveris-skills
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 QVerisAI/open-qveris-skills --skill chairman-daily-report
Clone the repo
git clone --depth 1 https://github.com/QVerisAI/open-qveris-skills

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 chairman-daily-brief

README.md
[![agentmods](https://agentmods.dev/badge/skills/qverisai/open-qveris-skills/chairman-daily-report/github.svg)](https://agentmods.dev/skills/qverisai/open-qveris-skills/chairman-daily-report)
Your own site
<a href="https://agentmods.dev/skills/qverisai/open-qveris-skills/chairman-daily-report"><img src="https://agentmods.dev/badge/skills/qverisai/open-qveris-skills/chairman-daily-report/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 chairman-daily-brief

Your own site · 80×15
<a href="https://agentmods.dev/skills/qverisai/open-qveris-skills/chairman-daily-report"><img src="https://agentmods.dev/badge/skills/qverisai/open-qveris-skills/chairman-daily-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,259 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 $0.00086 $0.03259
Opus 5.5 $0.00034 $0.01304
Sonnet 5.5 $0.00017 $0.00652
Haiku 4.5 $0.00009 $0.00326

Measured 2mo ago against content hash 16a8137dbd3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

chairman-daily-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 2mo ago.

The scan reads SKILL.md. This mod also ships 8 executable files (scripts/analyze_sentiment.py, scripts/chairman_daily.mjs, scripts/fetch_company_news.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

chairman-daily-report/SKILL.md · 377 lines

How it starts

The opening of the file, as written. The whole thing — 377 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Chairman Daily Brief

A daily market briefing system designed for listed company chairmen, providing executive-level market intelligence from a strategic decision-making perspective.

Core Value Proposition

Unlike ordinary investor market watching, this skill operates from a chairman's decision-making perspective:

  • Stock Movements → Impact Analysis: Not just watching ups and downs, but analyzing impacts on financing, M&A, and shareholder relations
  • Industry Policy → Strategic Opportunities: Capturing business opportunities or risks from regulatory changes in real-time
  • Competitors → Benchmarking Analysis: Assessing how major competitor moves affect your company
  • Market Sentiment → Capital Strategy: Timing suggestions for corporate capital operations based on investor sentiment
  • Announcement Alerts → Compliance Warnings: Regulatory announcements and major event reminders

Morning vs Evening Briefings

Morning Brief — 7:00-9:00 AM (Pre-Market)

Objective: Equip the chairman with a complete picture before market open, preparing for the day ahead

Content Modules:

  1. Overnight Global Markets: Impact of US stocks, Hong Kong stocks, and A50 futures on today's opening
  2. Macro Policy Express: Industry policies and regulatory developments released overnight
  3. Company Pre-Market Outlook: Pre-market price expectations, key levels today, potential volatility factors
  4. Industry Radar: Major developments from other companies in the industry, sector index performance
  5. Competitive Intelligence: Latest developments from major competitors and response recommendations
  6. Risk Alerts: Potential risk points to monitor
  7. Today's Focus: Schedule reminders for meetings, announcements, investor activities

Evening Brief — 3:30-6:00 PM (Post-Market)

Objective: Review today's performance and plan tomorrow's strategy

Content Modules:

  1. Market Close Overview: Market trends, sector performance, company stock performance
  2. Trading Analysis: Trading volume, capital flow, Dragon Tiger List (if applicable)
  3. Today's Announcements: Summary of important announcements from the company and competitors
  4. Media Monitoring: Media coverage, analyst opinions, social media sentiment
  5. Institutional Activity: Research report rating changes, target price adjustments, block trades
  6. Policy Interpretation: Impact analysis of policies released today on the company
  7. Tomorrow's Strategy Recommendations: Response strategies based on today's market conditions

Read the full file on GitHub · 377 lines

Files

What ships with it

10 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.

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. 2mo ago First seen · 377 lines · 86 tokens per session scan A 16a8137dbd3f

Subscribe to this mod's changes

chairman-daily-brief is a skill published in the GitHub repository QVerisAI/open-qveris-skills (20 stars, last pushed 1mo ago), licensed MIT. It adds 86 tokens to every session and 3,259 once invoked, about $0.0003 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.

Analytics and metricsFinance and fintech
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