A股短线交易决策 A Share Short Term Decision
v1.2.0A-share short-term trading decision skill for 1-5 day horizon. Use when you need market sentiment, sector rotation, strong stock scanning, capital flow confi...
⭐ 2· 1.3k·13 current·14 all-time
by@kenera
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 (short‑term A‑share decisioning) matches what the code does: market sentiment, sector rotation, stock scanning, capital‑flow analysis, scoring, logging and report generation. The use of akshare/pandas is expected for this purpose.
Instruction Scope
SKILL.md instructs running the included Python CLI (main.py) and subskill scripts; those commands map directly to functions in the code. The skill reads/writes local files under data/, reads config.json, and contacts market data via akshare — all within the stated scope. It enforces a required no‑recommendation message when no candidates exist.
Install Mechanism
No install spec is declared in the registry; the README suggests 'pip install akshare pandas'. That mismatch (no declared dependencies in metadata) is a usability/packaging omission but not malicious. There are no downloads from arbitrary URLs or extract/install steps in the skill bundle itself.
Credentials
The skill does not declare or require any sensitive environment variables or credentials. It optionally reads SHORT_DECISION_DEBUG and SHORT_DECISION_FALLBACK_ENABLED for debug/fallback behavior — reasonable for development/runtime toggles and documented in code. No secret exfiltration patterns observed.
Persistence & Privilege
always:false (no forced persistent inclusion). The skill writes logs and artifacts under data/ (decision_log.jsonl, today_recommendation_*.json, config optimization outputs). The config-optimization subskill has an explicit --apply-to-config option that can overwrite the repository's config.json; this is a legitimate feature but worth noting because it mutates config files if invoked.
Assessment
This skill appears to be what it claims: a short‑term A‑share decision tool that fetches market data (via akshare), scores candidates, writes logs and JSON artifacts into a local data/ folder, and can optionally update config.json via the optimization subskill. Before installing or running: 1) Be prepared to install akshare and pandas (not declared in registry metadata—install manually or review dependency policy). 2) Inspect config.json and data/ to ensure you are comfortable with files being written/overwritten (the optimizer can overwrite config.json when run with --apply-to-config). 3) Expect the skill to make outbound HTTP requests through the akshare library to fetch market data (normal for this purpose). 4) Run it in a sandbox or non‑privileged environment if you want to limit effects on your filesystem. 5) If you want stricter control, avoid running the optimizer's --apply-to-config flag and review produced artifacts before applying them.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.