Skills/ClawHub/racing-quant-ai

racing-quant-ai@1.10.1

VERIFIED· install only

Publisher claims: "赛马量化AI选股系统，集成量化策略选股+个股智能推荐分析。从量化策略数据库筛选符合需求的策略，获取持仓个股，再进行深度分析，最终给出投资参考。触发词：量化选股，racing quant，策略选股，数据库选股，量化分析，AI选股。" Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry ClawHubPublisher chenxyzcyxpp · publishing for 117 daysInstalls 1,686Last detonated 4d ago
$clawhub install racing-quant-ai
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Coverage

Nothing executable in the bundle ran; the trace covers the install step only.
Tested
every file read, file written and host contacted by what ran
Not tested
use of the skill by an agent

Is [email protected] safe to install?

KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-10 and scored it 90/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.

Behavior trace

Honeypot run · 0 s · 1 scenarios · 0 deviations
t+CategoryObserved action
0.0sprocessno install scripts in bundle
0.0sprocessscript backend runs setup only
0.0sprocessscript backend runs setup only
0.0sprocessno install scripts to re-run

Static findings

MEDIUM
Python subprocess execution detectedSKILL.md:473 · Python subprocess execution detectedresult = subprocess.run(['curl', '-s', '--connect-timeout', '10', '--max-time', '15', url], capture_output=True, text=True, timeout=20)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
URL with suspicious TLDSKILL.md:502 · URL with suspicious TLD — commonly used for phishing/malware- `http://racingai.top/strategy/{id}` 是 Vite + React 前端，curl 只返回空壳 HTMLFix: Replace encoded or assembled strings with plain literals and remove undeclared network calls.
AST07
MEDIUM
Python subprocess execution detectedSKILL.md:477 · Python subprocess execution detected**关键坑**：必须用 `subprocess.run(['curl', ...])` 而非 `urllib.request.urlopen` — 批量请求时urllib会大量失败（"Remote end closed connection"），curl带重试机制可靠。每个请求间隔0.15秒，3次重试。Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05

Cost to the agent

Instructions loaded
≈5,776 tok
1 file · 31 in bundle

Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.

Known vulnerabilities

Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.