Catalyst CalendarSAFE
Overview
An agent skill published by anthropics.
06253c4f9534OBSERVED · 2026-10-24What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: catalyst-calendar description: Build and maintain a calendar of upcoming catalysts across a coverage universe — earnings dates, conferences, product launches, regulatory decisions, and macro events. Helps prioritize attention and position ahead of events. Triggers on "catalyst calendar", "upcoming events", "what's coming up", "earnings calendar", "event calendar", or "catalyst tracker". --- # 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:** 1. [Day]: [Company] Q[X] earnings — consensus [$X EPS], our estimate [$X], key focus: [metric] 2. [Day]: [Event] — why it matters for [stocks] 3. [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 ## Important Notes - Earnings dates shift — verify against company IR pages and Bloomberg/FactSet closer to the date - Pre-announce risk: track companies with a history of pre-announcing (positive or negative) - Conference attendance lists are valuable — which companies are presenting and which are conspicuously absent? - Some catalysts are recurring (monthly industry data) — build a template and auto-populate - Color-code by impact level: Red = high impact, Yellow = moderate, Green = routine - Archive past catalysts with the actual outcome — builds pattern recognition over time
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
06253c4f9534full audit observations/trust-audit/skill/anthropics__catalyst-calendar.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-24 | 06253c4f9534 | SAFE | B | 89 | first audit |
Questions
Is catalyst-calendar — anthropics/financial-services safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can catalyst-calendar — anthropics/financial-services access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (06253c4f9534), read on 2026-10-24. The repository is watched, and a new audit runs when it changes — this is the first audit.
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Shows this page's audit result and links back to it. It updates when the audit does.
[](https://modelsatlas.com/skills/anthropics/catalyst-calendar/)
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