greenroom

REVIEW · 63
Registry indexed

Interview preparation workbench entry point. Runs the full pipeline from resume + target company + JD to a complete prep workspace (research, experience bank, verbatim scripts, industry brief), or routes to a single step. Use when the user says they have an interview coming up, w

Verified installs0
Stars11
Version1.0.0
Quality57/100 · Promising
Trust63/100 · Sandbox only
Audit75/100 · Needs review

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add YunyueLi/greenroom --skill greenroom

Maintenance

fresh

Pushed today

Risk

Needs review

The skill depends on other skills (job-intel, story-bank, interview-script, industry-brief, mock-interview, debrief) that are not included in this submission; the entry point alone cannot complete the full pipeline without them.

GitHub quality

11

57/100 Quality · 71/100 Trust

Coverage tags

ResearchResearch agentsagent-skill

Review notes

The skill depends on other skills (job-intel, story-bank, interview-script, industry-brief, mock-interview, debrief) that are not included in this submission; the entry point alone cannot complete the full pipeline without them. · Low GitHub adoption signal

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
57

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
63

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
75

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

11 GitHub stars

Repo activity

11 stars, 1 forks

Maintenance

Pushed today

License

AGPL-3.0

Install

npx skills add YunyueLi/greenroom --skill greenroom

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Review before production

  • The skill depends on other skills (job-intel, story-bank, interview-script, industry-brief, mock-interview, debrief) that are not included in this submission; the entry point alone cannot complete the full pipeline without them.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 11 GitHub stars

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Search sources

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add YunyueLi/greenroom --skill greenroom
Policy
review
Human review
yes

Trust and risk

Trust
63/100
Audit
75/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add YunyueLi/greenroom --skill greenroom

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • The skill depends on other skills (job-intel, story-bank, interview-script, industry-brief, mock-interview, debrief) that are not included in this submission; the entry point alone cannot complete the full pipeline without them.
  • No OpenAgentSkill engagement data yet

Agent safety v2

59/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • The skill depends on other skills (job-intel, story-bank, interview-script, industry-brief, mock-interview, debrief) that are not included in this submission; the entry point alone cannot complete the full pipeline without them.

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install yunyueli-greenroom

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use greenroom in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20greenroom%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yunyueli-greenroom/install
Install command: npx skills add YunyueLi/greenroom --skill greenroom
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use greenroom for this task. Review https://www.openagentskill.com/api/skills/yunyueli-greenroom/install, then install with: npx skills add YunyueLi/greenroom --skill greenroom

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

56/100

Research agents

Platforms

Claude Code

Audit report

Needs review · 75/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Needs validation for Research agents

Do a manual repository review before adding this to an agent workflow.

56
Readiness
Review
Stage

Role in stack

Needs validation

Primary fit

Research agents

Trust label

Needs manual review

Install path

Command ready

Use when

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 57/100 quality profile

review first

  • Low GitHub adoption signal
  • The skill depends on other skills (job-intel, story-bank, interview-script, industry-brief, mock-interview, debrief) that are not included in this submission; the entry point alone cannot complete the full pipeline without them.
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Research agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

63
OpenAgentSkill Trust Score

GitHub adoption

FIX

11 GitHub stars

Stars/forks activity

FIX

11 stars, 1 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

PASS

AGPL-3.0

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • The skill depends on other skills (job-intel, story-bank, interview-script, industry-brief, mock-interview, debrief) that are not included in this submission; the entry point alone cannot complete the full pipeline without them.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 11 GitHub stars
  • Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

57
GitHub stars
11
Freshness
Today
Install ready
Yes
License
AGPL-3.0
Review before install: Low GitHub adoption signal · The skill depends on other skills (job-intel, story-bank, interview-script, industry-brief, mock-interview, debrief) that are not included in this submission; the entry point alone cannot complete the full pipeline without them.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: greenroom description: Interview preparation workbench entry point. Runs the full pipeline from resume + target company + JD to a complete prep workspace (research, experience bank, verbatim scripts, industry brief), or routes to a single step. Use when the user says they have an interview coming up, wants interview prep, uploads a resume with a target job, mentions 面试准备 / 我要面试了 / 帮我准备面试 / 帮我把面试材料全做出来 / 一条龙, or asks "where do I start". Do NOT use for writing resumes from scratch, salary negotiation after offer, or live in-interview assistance. license: AGPL-3.0 metadata: author: Yunyue Li version: "0.3.0" ---

# Greenroom · 候场

入口 skill。两种用法:**全流程**(给齐简历 + 目标公司/岗位/JD,一次生成全套备战材料)或**单步路由**(识别用户处在哪一步,转给专项 skill)。

## 全流程(推荐的默认路径)

用户给出(缺什么问什么,一次问全):

1. 简历(文本或文件路径) 2. 目标公司 + 岗位名 + JD 原文(或链接) 3. 表达风格偏好(可选:自己的说话样本/过往面试转写,或一句描述,如"沉稳、少修辞";写进 profile.md 的「风格偏好」节,逐字稿按它调)

然后按序执行,每步落盘后只汇报一行进度,不中途长篇输出:

| 步 | 调用 | 产出 | |----|------|------| | 1 | 初始化工作台(见下) | profile.md 骨架 | | 2 | job-intel | `jobs/<slug>/intel.md`(公司与面试官调研、JD 逐条对照、考题预测) | | 3 | story-bank | `story-bank.md`(经历卡,含本岗讲法) | | 4 | industry-brief | `library/<行业-岗位>-通识.md`(行业与岗位参考阅读) | | 5 | interview-script | `jobs/<slug>/script.md`(可朗读逐字稿) |

收尾:汇报生成清单 + 提示工作台目录位置(Markdown 直接读,或用任一按 docs/workspace-spec.md 实现的客户端打开);建议面试前跑一次 mock-interview、面试后 24 小时内跑 debrief。

## 六步方法(单步路由用)

| # | 步骤 | 做什么 | 专项 skill | 产出文件 | |---|------|--------|-----------|----------| | 1 | 岗位调研 | JD 拆解、公司/面试官调研、考题预测 | job-intel | `jobs/<slug>/intel.md` | | 2 | 经历库 | 把真实经历整理成经历卡,按岗选讲法 | story-bank | `story-bank.md` | | 3 | 逐字稿 | 口语化、可直接朗读的答题稿 | interview-script | `jobs/<slug>/script.md` | | 4 | 行业通识 | 行业格局、岗位画像、高频概念参考阅读 | industry-brief | `library/*.md` | | 5 | 模拟面试 | 按面试官背景出题、连续追问、评分 | mock-interview | `jobs/<slug>/rounds/mock-N.md` | | 6 | 面后复盘 | 复原问答、沉淀本轮要点 | debrief | `jobs/<slug>/rounds/rN-debrief.md` |

贯穿所有步骤的底线:生成内容只用候选人真实给出的经历和数字,数字要带得出出处,给不出准确数字就用定性说法,绝不编。

## 找到或创建工作台

工作台是一个本地文件夹,格式契约见仓库 `docs/workspace-spec.md`。判定顺序:

1. 当前目录或其子目录里找 `profile.md` + `jobs/`(或 frontmatter 带 `type: profile` 的文件)→ 找到即用,向用户确认一句。 2. 找不到 → 问用户工作台在哪;用户说没有 → 走初始化。

### 初始化流程

1. 问清两件事:工作台建在哪个路径;候选人简历(贴文本或给文件路径)。 2. 创建目录骨架:

``` <workspace>/ ├── profile.md ├── story-bank.md ├── library/ └── jobs/ ```

3. 从简历提取生成 `profile.md`(frontmatter `type: profile`):履历线(时间倒序)、教育背景、关键数字;用户给了风格偏好就加「风格偏好」节。提取数字时把出处一并记在 profile.md 里(哪份报表/哪次复盘),后续逐字稿要用;用户记不清出处的数字标「待核」。 4. 建议用户在工作台目录 `git init`,私有保存。**提醒:工作台含个人简历与面试材料,永远不要放进公开仓库。**

## 单步路由表

| 工作台状态 | 下一步 | |-----------|--------| | 没有 `jobs/<slug>/job.md`(用户提到新岗位) | 建岗位目录 + job.md,然后跑 job-intel | | 有 job.md、没 intel.md | job-intel | | story-bank.md 为空或缺该岗位讲法 | story-bank | | 有调研和经历卡、没 script.md | interview-script | | library/ 没有该行业岗位的通识 | industry-brief | | 材料齐了、面试在 48 小时内 | mock-interview | | 用户说"刚面完" | debrief |

路由方式:直接说明该做哪步、调用对应 skill(插件安装下是 `/greenroom:job-intel` 等;standalone 安装下按 skill 名触发)。如果用户一句话里带了材料(贴了 JD、贴了面试回忆),别走流程问答,直接进对应步骤。

## 姿态约定(贯穿所有步骤)

- **只讲真话,讲到最好**。生成内容时禁止编造用户没有的经历和数字,缺什么就问。 - 用户时间紧。能从工作台文件里读到的信息不要再问一遍。 - 中文用户默认全程中文交付。

Technical details

Version
1.0.0
License
AGPL-3.0
Last updated
Aug 23, 2026
Published
Aug 23, 2026

Decision snapshot

Needs validation

56
Ready
Review
Stage

recent repository activity

Audit

Install review

Install and adoption review

75
Needs review
Security
80/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for greenroom, ready for a manual X post.

Curator note
A practical pick for source-backed research:

greenroom: Interview preparation workbench entry point. Runs the full pipeline from resume + target company + JD to a complete prep wo...

11 stars

https://www.openagentskill.com/skills/yunyueli-greenroom?ref=x
Open X draft
Optional reply with install command
Listing + install path for greenroom:
https://www.openagentskill.com/skills/yunyueli-greenroom?ref=x

Install: npx skills add YunyueLi/greenroom --skill greenroom

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
YunyueLi
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to YunyueLi but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/yunyueli-greenroom?metric=listed&label=Listed)](https://www.openagentskill.com/skills/yunyueli-greenroom)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/yunyueli-greenroom?metric=trust&label=Trust)](https://www.openagentskill.com/skills/yunyueli-greenroom)
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[![Agent Proven](https://www.openagentskill.com/api/badge/yunyueli-greenroom?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/yunyueli-greenroom)

Author

Y

YunyueLi

@yunyueli

Platform fit

Health signals

GitHub stars
11
Quality score
31/100
Last GitHub push
Aug 23, 2026
Framework hints
Unknown
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

63
  • GitHub adoption11 GitHub starsFIX
  • Stars/forks activity11 stars, 1 forks; issue activity unavailable in current metadataFIX
  • Recent maintenancePushed todayPASS
  • License clarityAGPL-3.0PASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS