skill-release-gate SKILL.md skillA

skill-release-gate from cluster1900/ai-engineering-from-scratch-zh is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add cluster1900/ai-engineering-from-scratch-zh/skill-release-gate@git:20261018.7ee8de7

Pins git:20261018.7ee8de7 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
cluster1900/ai-engineering-from-scratch-zh
Path
phases/13-tools-and-protocols/27-skill-evals-packaging-and-portability/outputs/skill-release-gate/SKILL.md
Versions recorded
3
Latest version
git:20261018.7ee8de7, committed Oct 18, 2026
First version recorded
Oct 8, 2026
Size
4,014 bytes
Repository stars
14
License
MIT

Evaluate an Agent Skill bundle for structural integrity, trigger quality, artifact improvement, script correctness, safety, installed-tree integrity, and target-host portability before release.

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

<a id="skill-release-gate"></a>

# 技能发布门禁

在发布或分发 Agent Skill 目录包之前,使用此技能。

<a id="workflow"></a>

## 工作流

1. 将 `SKILL_ROOT` 解析为包含已安装 `SKILL.md` 的绝对目录。
   不要假设进程 cwd 就是已安装技能包。
2. 根据原始工作区的工作目录解析 `TARGET_ROOT`,
   并将用户提供的候选包解析为绝对路径 `TARGET_BUNDLE`。
3. 从 `SKILL_ROOT` 读取 `references/eval-contract.md`。
4. 检查 `TARGET_BUNDLE` 下 `evals/cases.json` 中的正例
   和容易误触发的近似反例。
5. 检查 `TARGET_BUNDLE` 下 `evals/artifacts.json` 中
   对基线产物和使用技能后产物共同适用的断言。
6. 检查 `TARGET_BUNDLE` 下 `evals/evidence.json` 中
   明确记录的脚本与安全结果。
7. 检查 `TARGET_BUNDLE` 下 `assets/hosts.json` 中声明的运行时能力,
   并依据其 `assets/manifest.json` 验证目标文件哈希。
8. 面向生产时,用实际采集的结果替换确定性预测、产物、证据和宿主能力;
   设置全部四种采集模式;将每条原始触发观测、两份产物、完整证据集
   以及非空宿主矩阵,都绑定到非空来源和匹配的 SHA-256 来源摘要。
   这些本地检查可以设置 `localEvidenceReady`,但可在本地重算的哈希不能证明采集真实发生。
9. 获取外部 JSON 证明,其 `evidenceRoot` 必须与报告一致;
   同时从独立可信策略或发布渠道获取该文件准确字节的 SHA-256。
   证明必须是位于目标包之外的普通文件。
10. 执行前展示解析后的准确 argv。已安装评估器位于
    `SKILL_ROOT` 下的 `scripts/evaluate_skill.py`。对随课程提供的样例,
    使用 `python3`、评估器绝对路径、`--fixture-demo` 和绝对路径
    `TARGET_BUNDLE` 构建 argv。生产场景使用同一已安装脚本,传入
    `--attestation`、`--trusted-attestation-sha256` 和绝对路径
    `TARGET_BUNDLE`,不使用 `--fixture-demo`。
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add cluster1900/ai-engineering-from-scratch-zh/skill-release-gate@sha256:2c65d60f1e5f0fd0

The line at the top of this page pins the label git:20261018.7ee8de7, 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_wcdmadlaxhvrrnvz.svg)](https://markdownregistry.com/a/art_wcdmadlaxhvrrnvz)

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

Versions

The registry has recorded 3 versions of this file, between Oct 8, 2026 and Oct 18, 2026, about one every 5 days.

versioncommittedcommitsizeaudit
git:20261018.7ee8de7 latest2026-10-18 7ee8de7 4,014 BA view · diff
git:20261018.9daa65d2026-10-18 9daa65d 3,871 BA view · diff
git:20261008.c74aa9d2026-10-08 c74aa9d 4,025 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 (4014 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

cluster1900/ai-engineering-from-scratch-zh · 14 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_wcdmadlaxhvrrnvz
GET https://markdownregistry.com/api/v1/resolve?ref=cluster1900/ai-engineering-from-scratch-zh/skill-release-gate
GET https://markdownregistry.com/api/v1/blob/2c65d60f1e5f0fd0584e2c85de0c0b5f4579622c7833788c2e121932f6c771ab

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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