acreadiness-assess

@boshi-xixixi · 收录于 5 天前 · 上游提交 2 个月前

Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.

场景ai就绪度检查仓库审计上线前检查

适合你，如果你需要快速评估项目对 AI 代理的适配程度。

/ 下载安装

https://github.com/boshi-xixixi/traeskill/tree/main/.trae/Skills/.agents/skills/acreadiness-assess ↗

/ 通过 npx 安装 校验哈希

npx oh-my-skill add boshi-xixixi/traeskill/acreadiness-assess

/ 通过 bash 安装

curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- boshi-xixixi/traeskill/acreadiness-assess

/ 已经装过?验证本机副本,不用重装

npx oh-my-skill verify boshi-xixixi/traeskill/acreadiness-assess

安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。

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索引托管

怎么用

商店整理自技能原文 · 版本 9cf38e6 · 表述以原文为准

它做什么

当要求评估仓库的AI准备度时，Claude会运行AgentRC扫描，生成一个包含成熟度、总分、各维度评分及修复建议的HTML仪表板（reports/index.html），并总结主要结果。

什么时候触发

当用户要求评估、审计或评分当前仓库的AI ready状态时触发。

装好后可以这样说

会运行扫描并生成报告

应用自定义策略评分

显示详细仪表板

技能原文 SKILL.md作者撰写 · MIT · 9cf38e6

/acreadiness-assess — AI-readiness assessment

Use this skill whenever the user asks for an AI-readiness assessment, a readiness check, an audit, or wants to see how AI-ready their repository is.

This skill is the Measure step in AgentRC's Measure → Generate → Maintain loop. The result is a self-contained HTML dashboard the user can open with file:// or commit to the repo.

Steps

Confirm prerequisites. Node 20+ must be on PATH. If unsure, run node --version.

Decide on a policy (optional but encouraged):
If the user provided --policy <source>, capture it.
Otherwise check agentrc.config.json for a policies array.
If neither, run with no policy (built-in defaults).
For a primer on policies, suggest the acreadiness-policy skill.

Run the readiness scan in the repo root with structured output: ```bash npx -y github:microsoft/agentrc readiness --json [--policy <source>] [--per-area] ``` The CommandResult<T> JSON envelope is your input for the next step.

Hand off to the ai-readiness-reporter custom agent to interpret the JSON and produce reports/index.html. The agent renders via the bundled template report-template.html (shipped alongside this skill) so every report has an identical look & feel. The agent:
Reads the bundled report-template.html and substitutes placeholders with real data.
Inlines all CSS, ships a single static file (works under file://).
Renders maturity level, overall score, grade, pass-rate vs threshold.
Breaks down all 9 pillars across Repo Health (8) and AI Setup (1) with what it measures, why it matters for AI, current state, and a specific recommendation.
Tags every pillar with an AI relevance badge (High / Medium / Low).
Surfaces Extras separately (they never affect the score).
Shows the Active Policy including any disabled/overridden criteria and thresholds.
Produces a Prioritised Remediation Plan (🔴 Fix First / 🟡 Fix Next / 🔵 Plan).
Embeds the raw AgentRC JSON for reuse.

Tell the user where the report lives (reports/index.html) and how to open it. Summarise in chat: maturity level, overall score, top three lowest pillars, and the single highest-leverage next action (almost always: run the acreadiness-generate-instructions skill).

Notes

AgentRC also has a built-in HTML renderer (--visual / --output report.html) but its output is intentionally generic. This skill produces a tailored, opinionated dashboard via the custom agent — closer to a code review than a metrics dump.
For CI gating, recommend agentrc readiness --fail-level <n> (1–5).
The skill never modifies repository files other than creating reports/index.html.

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