Modular Market Brief
v0.1.0Generate modular, data-backed market reports (AM/PM) across global assets. Use for daily market briefs, premarket/aftermarket summaries, cross-asset dashboards, sector/asset trend tables, top movers (gainers/losers) blocks, and a single best-idea wrap-up. Designed to be region-agnostic and configurable (tickers/regions/assets).
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (market briefs) align with included scripts: price tape (yfinance), Yahoo movers, and a TMX scraper. There are no unrelated env vars, binaries, or opaque install steps that would contradict the stated purpose.
Instruction Scope
SKILL.md stays on-topic (fetch prices, enrich movers, compute MA/RSI, render brief). The bundled scripts perform network requests to public endpoints (Yahoo Finance, TMX Money) and may scrape pages; they do not attempt to read local files or environment variables. One minor mismatch: SKILL.md recommends installing yfinance/pandas/numpy but the scripts also require requests and bs4 (BeautifulSoup) which are not explicitly documented.
Install Mechanism
There is no install spec (instruction-only), which is low risk. SKILL.md suggests creating a Python venv and pip-installing packages — a reasonable, user-mediated approach. The scripts will fail if missing dependencies (requests, bs4, yfinance, pandas). No downloads from untrusted URLs or archive extraction are present.
Credentials
The skill requests no credentials, environment variables, or config paths. Its network access to public finance endpoints is proportional to generating market briefs. There are no requests for unrelated secrets or access tokens.
Persistence & Privilege
always:false and no code attempts to persist itself or modify other skill/system configurations. The skill does not request elevated or persistent privileges.
Assessment
This skill appears to do what it says: generate modular market briefs by querying public finance endpoints and computing simple indicators. Before running it: (1) review and, if desired, run the scripts in an isolated Python virtualenv; (2) pip-install the needed libraries (yfinance, pandas, numpy, requests, beautifulsoup4) as recommended; (3) be aware the scripts perform outbound network calls to Yahoo and TMX (rate limits, TOS, and breakage are possible); (4) do not provide any cloud or trading credentials — the skill doesn't need them; and (5) if you plan to run these on a sensitive host, consider running them in a sandbox/container and inspect/modify the scraper logic to match your preferred data sources.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.