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SKILL verified MIT Self-run

Market Briefing

skill-sumitaich1998-jarvisvr-market-briefing · by sumitaich1998

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Install

$ agentstack add skill-sumitaich1998-jarvisvr-market-briefing

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Market Briefing

Fetch quotes for one or more symbols, speak a tight summary, and render a stocks_ticker (plus an optional chart_3d for trend).

Steps

  1. Resolve symbols. From the request ("AAPL and Tesla") or the user's saved

watchlist; default to a small index set if none given.

  1. Call get_stocks{symbols}. Returns data.quotes ({symbol, price,

change_pct, currency}) and a stocks_ticker directive.

  1. Summarize movers in agent.speech (biggest up/down).
  2. Optional trend: for "show the trend" build a chart_3d (line) from a

series of closes.

  1. Helper: to assemble ticker props from raw SYMBOL:price[:change_pct]

pairs deterministically, use the bundled script: python3 scripts/build_ticker.py AAPL:214.5:1.2 TSLA:178.3:-0.8.

Output

stocks_ticker (show_stocks, props per registry.json):

{ "widget_type": "stocks_ticker",
  "transform": { "anchor": "head", "billboard": true },
  "props": { "title": "Watchlist",
             "symbols": [ { "symbol": "AAPL", "price": 214.5, "change_pct": 1.2, "currency": "USD" },
                          { "symbol": "TSLA", "price": 178.3, "change_pct": -0.8, "currency": "USD" } ],
             "scroll": true },
  "interactions": ["grab","tap","resize","drag"] }

Trend (show_chartchart_3d):

{ "widget_type": "chart_3d",
  "props": { "chart_type": "line", "title": "AAPL — 5d",
             "labels": ["Mon","Tue","Wed","Thu","Fri"],
             "series": [ { "name": "Close", "values": [210,212,209,213,214.5], "color": "#4FC3F7" } ],
             "y_axis_label": "USD" } }

agent.speech:

{ "text": "Markets: AAPL is up 1.2% at $214.50, Tesla down 0.8% at $178.30.", "final": true }

Bundled resources

  • scripts/build_ticker.py — pure-stdlib helper that turns CLI SYMBOL:price

pairs into validated stocks_ticker props JSON (mirrors the widget schema).

Edge cases

  • Unknown symbol → omit it and mention it wasn't found; don't guess a price.
  • Markets closed / stale → label values as last close.
  • Crypto / FX → same ticker schema; set currency appropriately.
  • Offline → values are deterministic mocks; say so for "live price" asks.
  • Large watchlist (>6) → ticker caps at a handful; suggest a data_table

for the full list via stage-agent present-data.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.