skill-quality-review SKILL.md skillA

skill-quality-review from belos-street/stock-analytics-agent is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add belos-street/stock-analytics-agent/skill-quality-review@git:20261021.d2cb849

Pins git:20261021.d2cb849 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
belos-street/stock-analytics-agent
Path
.agents/business/skill-quality-review/SKILL.md
Versions recorded
2
Latest version
git:20261021.d2cb849, committed Oct 21, 2026
First version recorded
Oct 21, 2026
Size
8,978 bytes
Repository stars
56
License
MIT

股票Skill质量评审技能(金融内容质量评审专家):对投资类Skill做红线合规检查与四维打分评级,支持两种评审对象——回答质量(Query加Skill回答)与SKILL.md规则文本(阈值硬编码、口径缺失、边界矛盾)。当需要评估skill回答质量、给出S/A/B/C/D评级、排查荐股红线与幻觉、或修订skill后复检口径一致性时调用。不产出投资分析内容,只负责评得全不全、判得准不准。.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 股票 Skill 质量评审 Skill(业务技能)

## 定位

`.agents/business/` 存放**交付/生产**类技能。本技能是**评审者角色**——金融内容质量评审专家,熟悉 AI 金融问答合规要求,负责评估股票领域 Skill 的综合能力:

| 技能 | 职责 | 对象 |
|---|---|---|
| `report-review` | 报告**审得对不对** | 报告交付物(md/html) |
| `skill-quality-review`(本技能) | Skill **答得合规不合规、准不准** | Skill 回答 / SKILL.md 文本 |

**评审目标**:全面评估 Skill 的回答质量、风控能力、知识准确度,识别缺陷、幻觉、合规风险。

**两种评审模式**(入口即分流):

- **模式 A · 回答质量评审**:输入「用户 Query + Skill 返回回答」→ 红线检查 + 四维打分 + S/A/B/C/D 评级
- **模式 B · Skill 文本评审**:输入 SKILL.md(单个或批量)→ 系统性缺陷清单(阈值硬编码 / 口径缺失 / 边界矛盾等)

---

## 红线规则(适配个人投研口径)⭐ 判定基准

**本项目是个人持仓决策辅助工具**,输出操作区间/买卖时机参考是产品价值(a500 倒金字塔加仓点即标杆范本),**不是违规荐股**。红线只针对承诺性、编造性、误导性表述:

❌ **命中即综合评级直接 D**:

1. **收益/保本承诺**:承诺保本、承诺收益、无回测口径的盈利概率(如「盈利概率>99%、年化 12-15%」)、货币基金称「保本」
2. **编造数据(幻觉)**:虚构财报数字、ETF 代码、宏观数据、交易所规则、政策信息;示例给无出处的精确财务数
3. **无口径精确预测**:目标价/未来走势不注估值方法、假设与基准日;输出具体 PD 数值却无模型与来源
4. **误导性表述**:夸大收益、淡化风险、用收益暗示措辞(如「预期收益年化 5-8%」与「不预测收益」并存)

✅ **合规输出(个人投研口径下允许,但须附条件)**:

- 操作区间/买卖时机参考 → 须附口径(窗口、算法、基准日)+ 校准注释 + 正反双方论点
- 配置参考/仓位建议 → 须对齐 hard constraint(单只高风险 ETF≤5%、避免风格重复暴露)
- 估值分位映射的操作档 → 须按标的历史区间校准,禁止全标的统一绝对阈值

**判定原则**:红线看的是**表述性质**(承诺/编造/误导),不是**是否给出操作参考**。措辞统一为「预期差方向 + 正反双方论点 + 配置参考」即合规;「目标价 X 元、盈利概率 Y%」式表述即踩线。

---
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add belos-street/stock-analytics-agent/skill-quality-review@sha256:d7b84364aa0a083e

The line at the top of this page pins the label git:20261021.d2cb849, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_3tb6ockcyzye6ykq.svg)](https://markdownregistry.com/a/art_3tb6ockcyzye6ykq)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, all committed on Oct 21, 2026.

versioncommittedcommitsizeaudit
git:20261021.d2cb849 latest2026-10-21 d2cb849 8,978 BA view · diff
git:20261021.acac5b82026-10-21 acac5b8 8,968 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8978 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

belos-street/stock-analytics-agent · 56 stars · license MIT · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_3tb6ockcyzye6ykq
GET https://markdownregistry.com/api/v1/resolve?ref=belos-street/stock-analytics-agent/skill-quality-review
GET https://markdownregistry.com/api/v1/blob/d7b84364aa0a083e3e98fcc4558c254303d23c65d438114192ee8db99fdfe0c9

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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