debrief
Post-interview review — reconstructs the Q&A from transcript or memory, captures interviewer intel and next-round forecasts, and turns the round into a revision list for the script. Use when the user says they just finished an interview, 刚面完 / 复盘一下 / 面试录音转文字给你 / 这轮被问了什么, or paste
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
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 debrief
Maintenance
fresh
Pushed today
Risk
Needs review
Low GitHub adoption signal
GitHub quality
11
58/100 Quality · 76/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
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
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA 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.
Stars
11 GitHub stars
Repo activity
11 stars, 1 forks
Maintenance
Pushed today
License
AGPL-3.0
Install
npx skills add YunyueLi/greenroom --skill debrief
Install safety
standard package or runtime install path
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Review before production
- 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
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.
Suited tasks
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Search sources
Suited agents
Install decision
- Command
- npx skills add YunyueLi/greenroom --skill debrief
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 68/100
- Audit
- 78/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add YunyueLi/greenroom --skill debriefDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- No OpenAgentSkill engagement data yet
- Quality score needs review
Alternative
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
Alternative
DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Agent safety v2
66/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
- Low GitHub adoption signal
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.
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-debriefAgent 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 JSON
/api/agent/resolve?task=Use%20debrief%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20debrief%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yunyueli-debrief/install
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 debrief in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20debrief%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yunyueli-debrief/install
Install command: npx skills add YunyueLi/greenroom --skill debrief
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.
Install handoff
/api/skills/yunyueli-debrief/install
LLM text format
/api/skills/yunyueli-debrief/install?format=text
Find alternatives
/api/skills/search?q=debrief&limit=3
Agent prompt
Use debrief for this task. Review https://www.openagentskill.com/api/skills/yunyueli-debrief/install, then install with: npx skills add YunyueLi/greenroom --skill debriefRegistry 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.
Manifest
/api/registry/manifest/yunyueli-debrief
LLM text
/api/registry/manifest/yunyueli-debrief?format=text
Install alias
/api/registry/install/yunyueli-debrief
Recommend
/api/registry/recommend?task=Use%20debrief%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 78/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Needs validation for Research agents
Do a manual repository review before adding this to an agent workflow.
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
- 58/100 quality profile
review first
- Low GitHub adoption signal
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Research agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 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.
GitHub adoption
FIX11 GitHub stars
Stars/forks activity
FIX11 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSAGPL-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
- 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.
Workflow fit
Use this skill in these scenarios
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Process rich media
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Add it to a complete workflow
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Overview
--- name: debrief description: Post-interview review — reconstructs the Q&A from transcript or memory, captures interviewer intel and next-round forecasts, and turns the round into a revision list for the script. Use when the user says they just finished an interview, 刚面完 / 复盘一下 / 面试录音转文字给你 / 这轮被问了什么, or pastes an interview transcript or recollection. Do NOT use for practice sessions (mock-interview) or pre-interview research (job-intel). license: AGPL-3.0 metadata: author: Yunyue Li version: "0.1.0" ---
# debrief · 面后复盘
每轮真实面试后 24 小时内做一次(记忆衰减很快)。产出 `jobs/<slug>/rounds/rN-debrief.md`:把这一轮固化成下一轮能用的东西——问答复原、面试官情报、下轮预测、逐字稿修订清单。
## 输入采集
最好的输入是录音转写。没有就引导回忆倾倒,按这个顺序问(一次 2-3 个问题,别审讯):
1. 从进场开始按时间顺序过:第一个问题是什么?你怎么答的? 2. 每个问题:面试官当时的反应(追问了?点头?记笔记?换话题?) 3. 哪几题答得不顺、答完自己不满意,或被追问到答不上来? 4. 面试官透露了什么:团队情况、岗位实情、下轮安排、他自己的背景 5. 反问环节你问了什么、对方答了什么
明确告诉用户:记不清的就说记不清,复原里会标「不确定」,比硬凑可靠。
## 产出 rN-debrief.md
frontmatter:`type: debrief / job: <slug> / round: N / updated: <date>`。四个部分:
### 1. 问答复原
按时间顺序,`**Q:**` / `**A:**`(A 记要点和关键原话)。不确定处标 `(不确定)`。面试官的反应用括号注在对应位置。
### 2. 面试官情报更新
观察到的风格(追问型?要数字型?)、在意什么(哪个话题追了三层)、他主动透露的信息(团队/方向/他的背景)。回写进 `intel.md` 的面试官档案。
### 3. 下轮预测与建议
- 本轮剧透的下轮信息:谁面、考什么(面试官经常顺嘴说"下一轮会让你聊聊 X"——这是最高价值情报) - 本轮暴露的弱点 → 下轮大概率重点核查的点 - 给 interview-script 的修订清单:哪些题答得不顺要重写、下轮要新增什么题
### 4. 待办
按优先级列 3-5 条(核实什么、补什么材料、改什么稿、跟猎头确认什么)。
## 收尾
汇报:复原了几题、面试官情报更新了什么、下轮预测、建议的下一步(通常是按修订清单回 interview-script 改稿)。
Technical details
- Version
- 1.0.0
- License
- AGPL-3.0
- Last updated
- Aug 23, 2026
- Published
- Aug 23, 2026
Decision snapshot
Needs validation
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 87/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- 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
Scenario-led draft for debrief, ready for a manual X post.
debrief: Post-interview review — reconstructs the Q&A from transcript or memory, captures interviewer... 11 stars https://www.openagentskill.com/skills/yunyueli-debrief?ref=x
Optional reply with install command
Listing + install path for debrief: https://www.openagentskill.com/skills/yunyueli-debrief?ref=x Install: npx skills add YunyueLi/greenroom --skill debrief
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- YunyueLi
- Source
- YunyueLi/greenroom
- 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 skillOwner 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.
[](https://www.openagentskill.com/skills/yunyueli-debrief)
[](https://www.openagentskill.com/skills/yunyueli-debrief)
[](https://www.openagentskill.com/skills/yunyueli-debrief/audit)
[](https://www.openagentskill.com/skills/yunyueli-debrief)Author
YunyueLi
@yunyueli
Tags
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
- 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
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