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 Fize/mmtickerlab --skill risk-guardgit clone --depth 1 https://github.com/Fize/mmtickerlabWrote 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/fize/mmtickerlab/risk-guard)<a href="https://agentmods.dev/skills/fize/mmtickerlab/risk-guard"><img src="https://agentmods.dev/badge/skills/fize/mmtickerlab/risk-guard/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/fize/mmtickerlab/risk-guard"><img src="https://agentmods.dev/badge/skills/fize/mmtickerlab/risk-guard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00159 | $0.01891 |
| Opus 5.5 | $0.00064 | $0.00756 |
| Sonnet 5.5 | $0.00032 | $0.00378 |
| Haiku 4.5 | $0.00016 | $0.00189 |
Grade A, and why
risk-guard 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 1mo 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Risk Guard — 量化信号核验与风控门禁
本技能作为投研流水线的第三步（买入前风控门禁）。核心原则：不唯凭感性下注，用数据算仓位，触发风控红线一票否决。
独立运行与输入边界
本技能可以单独运行。调用方只需提供评估对象、评估阶段和拟议动作；市场与标的数据由本技能自行准备并核验。可从其他 Skill 接收结构化事实，但不把其他 Skill 的报告正文当作数据源。关键数据经过补充仍不可核验时输出 VETO: BLOCKED。
零虚构与数据真实性铁律（Zero-Fabrication Data Gate）
- 真实数据唯一原则：风控评估中引用的市场宽度、涨跌停数据、均线及 MACD 指标必须 100% 真实。
- 多级真实数据获取路径：
- 第一优先：调用
market技能（参见market/SKILL.md）获取大势与个股技术面确定性数据； - 第二优先：若命令报错或暂时不可用，必须使用
search_web/read_url_content/tencent-news/agent-browser检索权威市场数据。
- 第一优先：调用
- 缺失即阻断（Fail-Fast）：若通过上述所有途径均无法获取到标的的关键真实技术或行情数据，风控裁决直接输出
VETO: BLOCKED，告知用户：“由于无法获取 [具体数据]，风控评估已安全阻断，拒绝在数据盲区下单”。绝对禁止编造假数据放行交易！
真实数据核验源（调用 market 技能）
在进行风控评估前，遵循渐进式披露原则，直接查阅 market/SKILL.md 调用对应能力拉取大势与技术数据：
| 风控核验场景 | market 对应指令与能力 |
校验核心要素 |
|---|---|---|
| 大势环境与市场宽度 | snapshot 命令 |
上涨/下跌家数分布、涨跌中位数、全市场成交额（用于标定 Regime 与仓位乘数） |
| 情绪周期与连板梯队 | limits 命令 |
涨停家数、跌停家数、炸板率、最高连板梯队（用于排查系统性退潮红线） |
| 标的技术指标自洽性 | technical 命令 |
均线排列（MA5/10/20）、MACD 零轴与金死叉、RSI_6 超买超卖、布林带通道位置 |
核心风控三步法
步骤 1：信号自洽性交叉核验
将看多/看空逻辑与底层量化数值进行对比，检验是否存在“逻辑矛盾”：
| 维度 | 主观分析结论 | 量化指标验证依据 | 是否自洽 |
|---|---|---|---|
| 趋势方向 | 看多 / 看空 / 震荡 | 均线排列状态、MACD DIF/DEA 零轴位置 | ✅ / ❌ |
| 估值位置 | 处于相对低位 / 偏高 | PE/PB 历史分位数（A 股） | ✅ / ❌ |
| 动量与超买 | 强势突破 / 逢低抄底 | RSI_6、KDJ_J、VWMA 量价配合度 | ✅ / ❌ |
红线规则：若分析结论看多，但
technical显示均线空头排列且 MACD 死叉向下，认定为 逻辑矛盾（❌），直接降级评级。
步骤 2：大势环境与仓位/止损矩阵
风控系数与仓位上限根据当前大势状态（Regime）动态调整：
| 市场环境（Regime） | 趋势乘数 | 超买警告乘数 | 推荐全仓位上限 | 单标的仓位上限 | 动态止损线 |
|---|---|---|---|---|---|
| 牛市 / 强势 (Bull) | ×1.5 | ×0.3 (容忍超买) | 80% | 20% - 25% | -10% |
| 结构牛 / 主线 (Structural) | ×1.3 | ×0.5 | 60% | 15% - 20% | -8% |
| 震荡市 (Range-Bound) | ×1.0 | ×1.0 | 40% | 10% - 15% | -5% |
| 熊市 / 弱势 (Bear) | ×0.5 | ×1.5 (严防追高) | 20% | ≤ 10% | -3% |
步骤 3：一票否决权（Veto Authority）
当出现以下任一硬性红线时，风控官必须行使 VETO: BLOCKED（一票否决）：
- 逻辑矛盾：买入理由与底层技术指标严重背离（如死叉抄底、无量突破）；
- 环境不匹配：熊市/主线退潮期尝试满仓或追高连板标的；
- 风控超限：拟建仓位数超过当前大势允许的单标上限；
- 流动性缺失：标的日均成交额极低（如 A 股日成交低于 5000 万，或港美股日成交严重不足）。
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.
- 1mo ago Changed · +3 lines 75b2f4fd6891
- 1mo ago Changed · +5 lines · +82 tokens per session fc7087b48778
- 1mo ago First seen · 98 lines · 77 tokens per session scan A fc2142ad4a10
risk-guard is a skill published in the GitHub repository Fize/mmtickerlab (5 stars, last pushed 25d ago), licensed MIT. It adds 159 tokens to every session and 1,891 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-09-05.
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