Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add duolongworld/AI_Renaissance --skill cash_flow_quality_checkgit clone --depth 1 https://github.com/duolongworld/AI_RenaissanceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/duolongworld/ai_renaissance/cash_flow_quality_check)<a href="https://agentmods.dev/skills/duolongworld/ai_renaissance/cash_flow_quality_check"><img src="https://agentmods.dev/badge/skills/duolongworld/ai_renaissance/cash_flow_quality_check/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/duolongworld/ai_renaissance/cash_flow_quality_check"><img src="https://agentmods.dev/badge/skills/duolongworld/ai_renaissance/cash_flow_quality_check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 12 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.01412 |
| Opus 5 | $0.00017 | $0.00706 |
| Sonnet 5 | $0.00007 | $0.00282 |
| Haiku 4.5 | $0.00003 | $0.00141 |
Grade A, and why
cash-flow-quality-check-example scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
现金流质量检查示例 Skill
这是根据现有
skills/financial_report_analysis/SKILL.md中“用现金流验证利润质量”的思想,抽出来的一个简化示例。它不是对原财报 Skill 的完整总结,只用于演示专家组如何按通用模板写一个更小、更容易调试的 Skill。这是示例目录。正式提交时,请复制到类似
skills/financial/cash_flow_quality_check/SKILL.md的正式目录,并根据真实 Skill 删除-example相关命名。
1. 适用范围
所属小组:专家1组(财务)
适用任务:
- 判断公司利润是否有现金流支撑。
- 识别利润增长但经营现金流恶化的风险。
- 为财报质量、利润质量、阶段性财务总结提供信号。
边界说明:
- 如果缺少现金流量表或利润表,输出中标记需要人工复核。
- 该 Skill 只判断现金流质量,不单独给出完整投资建议。
2. 输入材料
必填输入
- 股票代码或公司名
- 分析期间,例如年度、季度、最近四个季度
- 净利润
- 经营活动现金流量净额
- 数据来源
可选输入
- 营业收入
- 应收账款
- 存货
- 合同负债
- 历史同期数据
- 行业对比数据
缺失处理
- 如果缺少净利润或经营活动现金流量净额,输出
direction: "neutral",confidence不高于 0.4,并在meta.uncertainties写明缺失项。 - 如果缺少应收账款、存货或合同负债,可以继续判断现金流与利润匹配度,但需要降低
confidence,并标记meta.needs_human_review: true。
3. 分析步骤
- 明确分析对象和时间范围。
- 计算经营现金流量净额与净利润的匹配度。
- 检查经营现金流是否连续弱于净利润。
- 检查应收账款和存货是否异常增长。
- 检查合同负债是否支撑未来收入。
- 判断利润质量是改善、恶化还是中性。
- 输出标准 JSON。
4. 判断规则
- 经营现金流量净额 / 净利润连续 2 个季度高于 1.0,且应收账款增速不高于收入增速,偏正面。
- 经营现金流量净额 / 净利润连续 2 个季度低于 1.0,偏负面。
- 净利润增长但经营现金流下降,偏负面。
- 应收账款或存货增速高于收入增速 20% 以上,降低置信度并加入风险说明。
- 合同负债增长且经营现金流改善,可作为正面辅助证据。
- 数据不足时输出
neutral,并在meta.uncertainties中写明缺口;其中净利润或经营活动现金流量净额这类核心必填输入缺失时,confidence不高于 0.4。 - 证据充分且方向一致时,
confidence可设为 0.8 以上。 - 证据较充分但缺少部分可选输入时,
confidence建议在 0.6 到 0.8。 - 其他必填输入缺失或信号冲突时,
confidence不高于 0.5,并设置meta.needs_human_review: true。 - 如果现金流弱于利润且应收账款或存货压力同步上升,
risk_level至少为medium;如果连续多个报告期恶化,可设为high。
5. 标准输出
示例输出:
{
"direction": "bearish",
"confidence": 0.72,
"reasoning": "净利润增长但经营现金流连续弱于净利润,应收账款增速高于收入增速,利润质量存在压力。",
"signals": [
"经营现金流连续弱于净利润",
"应收账款增速高于收入增速",
"利润质量偏弱"
],
"source": "cash-flow-quality-check-example",
"signal_type": "financial",
"stock_code": "<示例股票代码>",
"weight": 1.0,
"meta": {
"output_version": "0.1",
"skill_name": "cash_flow_quality_check",
"owner_group": "专家1组(财务)",
"target": "<示例公司>",
"period": "<示例报告期>",
"time_horizon": "mid",
"risk_level": "medium",
"key_findings": [
"利润增长缺少现金流同步验证",
"营运资金占用上升"
],
"evidence": [
{
"source_type": "financial_report",
"source_name": "<示例公司三季报>",
"date": "<示例日期>",
"metric": "经营现金流量净额 / 净利润",
"value": "0.62",
"comparison": "低于 1.0",
"note": "现金流对利润支撑不足"
}
],
"risk_notes": [
"如果应收账款后续无法回款,利润质量可能继续下降"
],
"uncertainties": [
"需要核对现金流量表口径和一次性项目影响"
],
"needs_human_review": true
}
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 138 lines · 34 tokens per session scan A 0ef3c8661d7f
cash-flow-quality-check-example is a skill published in the GitHub repository duolongworld/AI_Renaissance (59 stars, last pushed 14d ago), licensed Apache-2.0. It adds 34 tokens to every session and 1,412 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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