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 leecyno1/boutique-skills --skill anthropic-fs-equity-research-catalyst-calendargit clone --depth 1 https://github.com/leecyno1/boutique-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/leecyno1/boutique-skills/anthropic-fs-equity-research-catalyst-calendar)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-catalyst-calendar"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-catalyst-calendar/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/leecyno1/boutique-skills/anthropic-fs-equity-research-catalyst-calendar"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-catalyst-calendar.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 | $0.00078 | $0.00682 |
| Opus 5.5 | $0.00031 | $0.00273 |
| Sonnet 5.5 | $0.00016 | $0.00136 |
| Haiku 4.5 | $0.00008 | $0.00068 |
Grade A, and why
catalyst-calendar 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.
This is a copy
100% identical to catalyst-calendar — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Catalyst Calendar
Workflow
Step 1: Define Coverage Universe
- List of companies to track (tickers or names)
- Sector / industry focus
- Include macro events? (Fed meetings, economic data, regulatory deadlines)
- Time horizon (next 2 weeks, month, quarter)
Step 2: Gather Catalysts
For each company, identify upcoming events:
Earnings & Financial Events
- Quarterly earnings date and time (pre/post market)
- Annual shareholder meeting
- Investor day / analyst day
- Capital markets day
- Debt maturity / refinancing dates
Corporate Events
- Product launches or announcements
- FDA approvals / regulatory decisions
- Contract renewals or expirations
- M&A milestones (close dates, regulatory approvals)
- Management transitions
- Insider trading windows (lockup expirations)
Industry Events
- Major conferences (dates, which companies presenting)
- Trade shows and expos
- Regulatory comment periods or rulings
- Industry data releases (monthly sales, traffic, etc.)
Macro Events
- Fed meetings (FOMC dates)
- Jobs report, CPI, GDP releases
- Central bank decisions (ECB, BOJ, etc.)
- Geopolitical events with market impact
Step 3: Calendar View
| Date | Event | Company/Sector | Type | Impact (H/M/L) | Our Positioning | Notes |
|---|---|---|---|---|---|---|
| Earnings/Corp/Industry/Macro | Long/Short/Neutral |
Step 4: Weekly Preview
Each week, generate a forward-looking summary:
This Week's Key Events:
- [Day]: [Company] Q[X] earnings — consensus [$X EPS], our estimate [$X], key focus: [metric]
- [Day]: [Event] — why it matters for [stocks]
- [Day]: [Macro release] — expectations and positioning
Next Week Preview:
- Early heads-up on important events coming
Position Implications:
- Events that could move specific positions
- Any pre-positioning recommended
- Risk management ahead of binary events
Step 5: Output
- Excel workbook with calendar view and sortable columns
- Weekly preview email/note (markdown)
- Optional: integration with Google Calendar
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 · 85 lines · 78 tokens per session scan A 12ac4ae7659a
catalyst-calendar is a skill published in the GitHub repository leecyno1/boutique-skills (6 stars, last pushed 27d ago), licensed MIT. It adds 78 tokens to every session and 682 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to catalyst-calendar, differing in 0 lines, and is treated as a copy.
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