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 QVerisAI/open-qveris-skills --skill chairman-daily-reportgit clone --depth 1 https://github.com/QVerisAI/open-qveris-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/qverisai/open-qveris-skills/chairman-daily-report)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00086 | $0.03259 |
| Opus 5 | $0.00043 | $0.01630 |
| Sonnet 5 | $0.00017 | $0.00652 |
| Haiku 4.5 | $0.00009 | $0.00326 |
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 12d 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 — 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:
- Overnight Global Markets: Impact of US stocks, Hong Kong stocks, and A50 futures on today's opening
- Macro Policy Express: Industry policies and regulatory developments released overnight
- Company Pre-Market Outlook: Pre-market price expectations, key levels today, potential volatility factors
- Industry Radar: Major developments from other companies in the industry, sector index performance
- Competitive Intelligence: Latest developments from major competitors and response recommendations
- Risk Alerts: Potential risk points to monitor
- 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:
- Market Close Overview: Market trends, sector performance, company stock performance
- Trading Analysis: Trading volume, capital flow, Dragon Tiger List (if applicable)
- Today's Announcements: Summary of important announcements from the company and competitors
- Media Monitoring: Media coverage, analyst opinions, social media sentiment
- Institutional Activity: Research report rating changes, target price adjustments, block trades
- Policy Interpretation: Impact analysis of policies released today on the company
- Tomorrow's Strategy Recommendations: Response strategies based on today's market conditions
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.
- README.md 2.6 KB
- references/company_list.md 553 B
- scripts/analyze_sentiment.py 4.6 KB runs code
- scripts/chairman_daily.mjs 15 KB runs code
- scripts/fetch_company_news.py 6.0 KB runs code
- scripts/fetch_market_data.py 10 KB runs code
- scripts/fetch_sina_quote.py 4.8 KB runs code
- scripts/format_output.py 8.9 KB runs code
- scripts/generate_report.py 7.6 KB runs code
- scripts/risk_detection.py 6.5 KB runs code
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.
- 12d ago First seen · 377 lines · 86 tokens per session scan A 16a8137dbd3f
chairman-daily-brief is a skill published in the GitHub repository QVerisAI/open-qveris-skills (21 stars, last pushed 8d ago), licensed MIT. It adds 86 tokens to every session and 3,259 once invoked, about $0.0004 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 2026-08-30.
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