agentsclimarketplace

Daily portfolio monitoring

Skill ternary-ai/skills/skills/advanced/daily-portfolio-monitoring

Monitors thesis drift across holdings using daily news, earnings releases, price moves, and regulatory filings; outputs thesis status and action recommendations. Use during the daily execution cycle.From its SKILL.md

Install
npx -y skills add ternary-ai/skills --skill daily-portfolio-monitoring

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.5 KB, 512 tokens by cl100k_base, as published. Nobody here has run it

Daily Portfolio Monitoring

Purpose: Detect thesis drift in real time.

Trigger: Daily execution cycle.

Inputs:

  • News flow
  • Earnings releases
  • Price moves
  • Regulatory filings

Data Sources

Follow this order — do not ask the user which source to use:

  1. Context first: Check <stock_context> and <acquired_data> for holdings list, yesterday's prices, and any recent news or earnings already fetched. If today's price moves and recent news are present → proceed directly to Process.
  2. Fetch if missing: Call for each holding:
    • GLOBAL_QUOTE — current price and daily % change
    • NEWS_SENTIMENT — last 24-hour news and sentiment for each ticker
    • EARNINGS — check for surprise if an earnings release was today
  3. Ask only if both fail: Call request_user_input asking for the specific missing field only (e.g. "Please provide your current holdings list").

Process:

  1. Map news to thesis assumptions.
  2. Detect deviation from KPIs.
  3. Identify volatility-driven opportunities.
  4. Flag structural risk changes.

Output:

  • Thesis intact / weakened / broken classification
  • Action recommendation

Output Format

Write a daily monitoring report in markdown format:

## Daily Portfolio Monitoring Report
**Report Date**: {Date}

### Holdings Review
[For each monitored position:]

#### {TICKER} — {Position Size}%
- **Price**: $X (±Y% today)
- **Thesis Status**: [INTACT / WEAKENED / BROKEN]
- **Action**: [Hold / Review / Alert]

**Material Developments**:
- [News headline or event, if any]
- [Earnings surprise, guidance change, regulatory filing]
- [Insider transaction, analyst action]

**Thesis Impact**:  
[One sentence: Does this reinforce or contradict the original investment case?]

---

### Action Required
[List any positions requiring immediate attention with specific next steps]

### Monitoring Queue
[List positions with upcoming catalysts or events to track]

Thesis Field Rule: Always populate the thesis field in the JSON output with the complete daily monitoring report. This is an advanced skill — thesis upserting is mandatory. ⚠️ Extended thinking is discarded — copy the complete analysis into the thesis field; it is the ONLY output that reaches the Thesis panel.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.