A股涨停板龙虎榜深度研判+财富密码策略

• Outcome: Review
• Latest audit: Sep 12, 2026 · 5:15 AM UTC
• Version: 2.0.1

Overview

The skill appears to be a real finance-report generator, but unsafe report rendering and stale hardcoded output make it a Review case before installation.

Install only if you trust the publisher and run it in an isolated project or virtual environment. Do not feed untrusted JSON or upstream market snapshots into the renderer until HTML escaping, a restrictive browser configuration, and dependency pinning are added. Treat generated PPTX files as sample/stale unless you verify the date and data manually.

A.I.G

Vulnerability Patterns

• Insecure Dependencies: Introduces malicious components through unsafe dependency sources
• Insecure Skill Coding Practices: Finds exploitable flaws such as hardcoded secrets or command injection
• Skill Instruction Hijacking: Alters the agent's session goals or safety constraints when the skill loads
• Agent Memory Poisoning: Writes attacker-controlled rules into memory that affect later sessions
• Remote Payload Retrieval and Execution: Fetches external code whose behavior can change after review

Findings (2)

T09 · Insecure Skill Coding Practices

Error

• Location: scripts/generate_daily.py:75

Finding

Unescaped report data executes in a local-file-enabled Chromium context

Content

View full analysis

涨停板龙虎榜深度研判报告-{date} body{{font-family:"PingFang SC","Microsoft YaHei",sans-serif;max-width:980px;margin:24px auto;color:#12181F;line-height:1.65}} h1{{color:#002B5C;border-bottom:3px solid #C5A572;padding-bottom:8px}} h2{{color:#002B5C;margin-top:32px;border-left:4px solid #C5A572;padding-left:10px}} pre{{background:#F6F8FA;padding:12px;border-left:3px solid #C5A572;overflow:auto}} table{{border-collapse:collapse;width:100%;margin:12px 0;font-size:13px}} th,td{{border:1px solid #DDE3EA;padding:6px 10px;text-align:left}} th{{background:#0A3D6E;color:#fff;font-weight:600}} tr:nth-child(even){{background:#F6F8FA}} .ok{{color:#1E8449;font-weight:600}} .no{{color:#C1272D;font-weight:600}} .callout{{background:#FDF3F3;border-left:4px solid #C1272D;padding:10px 14px;margin:12px 0}} .muted{{color:#6B7785;font-size:12px}}

涨停板龙虎榜深度研判报告 · {date}

口径版本 {C.CALIBER_VERSION} · 框架：L1→L2→L2.5→L3 四层漏斗 + 财富密码选股策略

0. 本报告口径（v2 永久生效）

{caliber_html}

1. 四层漏斗执行结果

{funnel_html}

2. 评分管道 · 风控信号表

{rows_html}

3. α 账本

阶段 {result['ledger']['stage']} · α_max {result['ledger']['alpha_budget']:.1%} · 已用 {result['ledger']['used_pct']:.2%} · 剩余 {result['ledger']['remaining']:,.0f} 元 · 持仓 {result['ledger']['positions']} 笔

4. 盘前 6 项检查

{PB.render_checklist_md().replace("", '').replace("", "").replace("", "#检 ...[truncated 4235 chars]

Remediation

View remediation

T08 · Insecure Dependencies

Warning

• Location: SKILL.md:236

Finding

Third-party Python packages and Chromium artifacts are installed without version or integrity pinning

Content

View full analysis

Remediation

View remediation

SkillSpector

Vulnerability Patterns

• Data Exfiltration: External Transmission, Env Variable Harvesting, File System Enumeration
• Rogue Agent: Self-Modification, Session Persistence
• Trigger Abuse: Overly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
• MCP Least Privilege: Underdeclared Capability, Wildcard Permission, Missing Permission Declaration
• MCP Tool Poisoning: Hidden Instructions, Unicode Deception, Parameter Description Injection

Findings (61)

Tp4

High

• Category: MCP Tool Poisoning
• Confidence: 99% confidence

Finding

The finding says the actual implementation only generates PPTX and omits the promised framework, tracking-pool, and trading-day logic. In context, this is especially risky because the skill markets itself as finance research infrastructure; inaccurate scope and stale/hardcoded outputs can easily be mistaken for validated daily analysis.

Content

No source excerpt is available for this finding.

Tp4

High

• Category: MCP Tool Poisoning
• Confidence: 95% confidence

Finding

The finding says the actual implementation only generates PPTX and omits the promised framework, tracking-pool, and trading-day logic. In context, this is especially risky because the skill markets itself as finance research infrastructure; inaccurate scope and stale/hardcoded outputs can easily be mistaken for validated daily analysis.

Content

No source excerpt is available for this finding.

Tp4

High

• Category: MCP Tool Poisoning
• Confidence: 96% confidence

Finding

The finding says the actual implementation only generates PPTX and omits the promised framework, tracking-pool, and trading-day logic. In context, this is especially risky because the skill markets itself as finance research infrastructure; inaccurate scope and stale/hardcoded outputs can easily be mistaken for validated daily analysis.

Content

No source excerpt is available for this finding.

Tp4

High

• Category: MCP Tool Poisoning
• Confidence: 96% confidence

Finding

The finding says the actual implementation only generates PPTX and omits the promised framework, tracking-pool, and trading-day logic. In context, this is especially risky because the skill markets itself as finance research infrastructure; inaccurate scope and stale/hardcoded outputs can easily be mistaken for validated daily analysis.

Content

No source excerpt is available for this finding.

Tp4

High

• Category: MCP Tool Poisoning
• Confidence: 98% confidence

Finding

The finding says the actual implementation only generates PPTX and omits the promised framework, tracking-pool, and trading-day logic. In context, this is especially risky because the skill markets itself as finance research infrastructure; inaccurate scope and stale/hardcoded outputs can easily be mistaken for validated daily analysis.

Content

No source excerpt is available for this finding.

Tp4

High

• Category: MCP Tool Poisoning
• Confidence: 97% confidence

Finding

The finding says the actual implementation only generates PPTX and omits the promised framework, tracking-pool, and trading-day logic. In context, this is especially risky because the skill markets itself as finance research infrastructure; inaccurate scope and stale/hardcoded outputs can easily be mistaken for validated daily analysis.

Content

No source excerpt is available for this finding.

Tp4

High

• Category: MCP Tool Poisoning
• Confidence: 97% confidence

Finding

The finding says the actual implementation only generates PPTX and omits the promised framework, tracking-pool, and trading-day logic. In context, this is especially risky because the skill markets itself as finance research infrastructure; inaccurate scope and stale/hardcoded outputs can easily be mistaken for validated daily analysis.

Content

No source excerpt is available for this finding.

Tp4

High

• Category: MCP Tool Poisoning
• Confidence: 95% confidence

Finding

The finding says the actual implementation only generates PPTX and omits the promised framework, tracking-pool, and trading-day logic. In context, this is especially risky because the skill markets itself as finance research infrastructure; inaccurate scope and stale/hardcoded outputs can easily be mistaken for validated daily analysis.

Content

No source excerpt is available for this finding.

Tp4

High

• Category: MCP Tool Poisoning
• Confidence: 98% confidence

Finding

The finding says the actual implementation only generates PPTX and omits the promised framework, tracking-pool, and trading-day logic. In context, this is especially risky because the skill markets itself as finance research infrastructure; inaccurate scope and stale/hardcoded outputs can easily be mistaken for validated daily analysis.

Content

No source excerpt is available for this finding.

Tp4

High

• Category: MCP Tool Poisoning
• Confidence: 99% confidence

Finding

The finding says the actual implementation only generates PPTX and omits the promised framework, tracking-pool, and trading-day logic. In context, this is especially risky because the skill markets itself as finance research infrastructure; inaccurate scope and stale/hardcoded outputs can easily be mistaken for validated daily analysis.

Content

No source excerpt is available for this finding.

Tp4

High

• Category: MCP Tool Poisoning
• Confidence: 96% confidence

Finding

The finding says the actual implementation only generates PPTX and omits the promised framework, tracking-pool, and trading-day logic. In context, this is especially risky because the skill markets itself as finance research infrastructure; inaccurate scope and stale/hardcoded outputs can easily be mistaken for validated daily analysis.

Content

No source excerpt is available for this finding.

Tp4

High

• Category: MCP Tool Poisoning
• Confidence: 99% confidence

Finding

The finding says the actual implementation only generates PPTX and omits the promised framework, tracking-pool, and trading-day logic. In context, this is especially risky because the skill markets itself as finance research infrastructure; inaccurate scope and stale/hardcoded outputs can easily be mistaken for validated daily analysis.

Content

No source excerpt is available for this finding.

Tp4

High

• Category: MCP Tool Poisoning
• Confidence: 99% confidence

Finding

The finding says the actual implementation only generates PPTX and omits the promised framework, tracking-pool, and trading-day logic. In context, this is especially risky because the skill markets itself as finance research infrastructure; inaccurate scope and stale/hardcoded outputs can easily be mistaken for validated daily analysis.

Content

No source excerpt is available for this finding.

Tp4

High

• Category: MCP Tool Poisoning
• Confidence: 97% confidence

Finding

The finding says the actual implementation only generates PPTX and omits the promised framework, tracking-pool, and trading-day logic. In context, this is especially risky because the skill markets itself as finance research infrastructure; inaccurate scope and stale/hardcoded outputs can easily be mistaken for validated daily analysis.

Content

No source excerpt is available for this finding.

Tp4

High

• Category: MCP Tool Poisoning
• Confidence: 97% confidence

Finding

The finding says the actual implementation only generates PPTX and omits the promised framework, tracking-pool, and trading-day logic. In context, this is especially risky because the skill markets itself as finance research infrastructure; inaccurate scope and stale/hardcoded outputs can easily be mistaken for validated daily analysis.

Content

No source excerpt is available for this finding.

Ae1

High

• Category: analysis-evasion
• Confidence: 100% confidence

Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 152)May include surrounding context.

md

| HTML | 数据驱动版模板；可选 ECharts（`assets/echarts.min.js`）注入；MS 色 #002B5C / #C5A572 / #60A3D9；涨红跌绿；`@media print` |

Description-Behavior Mismatch

High

• Category: Not specified by scanner
• Confidence: 98% confidence

Finding

The manifest says this skill generates a daily A-share dragon-tiger report three-piece set, implying all outputs correspond to the requested trading day and input data. However, the PPTX path is generated by invoking templates/make_pptx.py while the docstring and log message explicitly admit it still uses hardcoded 2026-09-11 sample data, so one of the claimed outputs does not reflect the actual analyzed data.

Content

No source excerpt is available for this finding.

Env Variable Harvesting

High

• Category: Data Exfiltration
• Confidence: 87% confidence

Finding

Copying the full parent environment into a child process can expose secrets such as API keys, cloud credentials, proxy settings, and tokens to make_pptx.py and any libraries it imports. In this skill context, report-generation helpers are part of a larger automation stack and may run in privileged environments, so broad environment inheritance increases the blast radius if that helper script is compromised or behaves unexpectedly.

Content

Scanner excerpt · scripts/generate_daily.py (reported line 218)May include surrounding context.

python

base = f"涨停板龙虎榜深度研判报告-{date}"
    out_html = html_dir / f"{base}.html"
    pptx_path = html_dir / f"{base}.pptx"
    env = os.environ.copy()
    env["POUT"] = str(html_dir)
    env["PFILE"] = f"{base}.pptx"
    # make_pptx 期望从 templates/ 目录运行

Ae4

Medium

• Category: analysis-evasion
• Confidence: 80% confidence

Finding

Suspicious Unicode normalization or mixed-script content

Content

No source excerpt is available for this finding.

Session Persistence

Medium

• Category: Rogue Agent
• Confidence: 60% confidence

Finding

Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.

Content

Scanner excerpt · README.md (reported line 53)May include surrounding context.

bash

R=/path/to/a-share-dragon-tiger-strategy
# OpenClaw（大龙虾）
mkdir -p ~/.openclaw/workspace/skills/a-share-dragon-tiger-report
cp $R/skill/* ~/.openclaw/workspace/skills/a-share-dragon-tiger-report/

# MiMo Desktop / MiMoCode

Vague Triggers

Medium

• Category: Not specified by scanner
• Confidence: 91% confidence

Finding

The trigger phrases are broad and overlap with common financial-analysis requests, which can cause the skill to activate outside the author's intended scope. In an agent environment, overbroad activation can hijack unrelated user workflows, cause unintended report generation, or route sensitive prompts into a specialized skill without clear user intent.

Content

No source excerpt is available for this finding.

Ae4

Medium

• Category: analysis-evasion
• Confidence: 80% confidence

Finding

Suspicious Unicode normalization or mixed-script content

Content

No source excerpt is available for this finding.

Undeclared Tool Scope

Medium

• Category: MCP Least Privilege
• Confidence: 88% confidence

Finding

The skill advertises shell commands, local file copying, and script execution, but does not declare an explicit tool/permission scope. In agent environments, that can cause the skill to be invoked with broader filesystem and shell authority than users expect, increasing the chance of unintended file writes, local execution, or privilege misuse.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium

• Category: Not specified by scanner
• Confidence: 88% confidence

Finding

The trigger description is broad and overlaps with generic finance-related requests, which can cause accidental or opportunistic invocation outside its intended scope. Overbroad activation is risky for a skill that can read/write files and run scripts, because it may execute on prompts where users did not intend to authorize those side effects.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium

• Category: Not specified by scanner
• Confidence: 84% confidence

Finding

The trigger list uses short, underspecified phrases that do not clearly bound scope, prerequisites, or side effects. In an agent setting, ambiguous triggers increase the chance the skill will be selected for loosely related market-analysis requests and perform more privileged actions than the user expects.

Content

No source excerpt is available for this finding.

Static analysis

Detected: suspicious.dynamic_code_execution

Dynamic code execution detected.

Critical

• Code: suspicious.dynamic_code_execution
• Location: assets/echarts.min.js:45