daily-brief-bot
매일 정해진 시간에 관심 주제 아티클을 수집·요약해 디스코드로 받는 봇을 만들고 튜닝한다. 톤·길이·발송 시각 조정 방법 포함.
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add bam-bam-2/solo-skills --skill daily-brief-bot
Maintenance
fresh
1d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
11
57/100 Quality · 62/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Skill is highly specific to the author's personal environment (remote host, vault paths, gpters.org), which may limit reuse by others without adaptation.
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
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
11 GitHub stars
Repo activity
11 stars, 4 forks
Maintenance
1d since push
License
MIT
Install
npx skills add bam-bam-2/solo-skills --skill daily-brief-bot
Install safety
standard package or runtime install path
Permission surface
secrets or environment access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Thin public metadata
Risk summary
Review before production
- Skill is highly specific to the author's personal environment (remote host, vault paths, gpters.org), which may limit reuse by others without adaptation.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, network or browser access
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
- Coding agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect source files
Suited agents
Install decision
- Command
- npx skills add bam-bam-2/solo-skills --skill daily-brief-bot
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 54/100
- Audit
- 72/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add bam-bam-2/solo-skills --skill daily-brief-botDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- Skill is highly specific to the author's personal environment (remote host, vault paths, gpters.org), which may limit reuse by others without adaptation.
- No OpenAgentSkill engagement data yet
Agent safety v2
48/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
high
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- High-risk permission hints: Secrets or environment access
- Permission surface may require sandboxing
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 bam-bam-2-daily-brief-botAgent 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%20daily-brief-bot%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20daily-brief-bot%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/bam-bam-2-daily-brief-bot/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 daily-brief-bot in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20daily-brief-bot%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/bam-bam-2-daily-brief-bot/install
Install command: npx skills add bam-bam-2/solo-skills --skill daily-brief-bot
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/bam-bam-2-daily-brief-bot/install
LLM text format
/api/skills/bam-bam-2-daily-brief-bot/install?format=text
Find alternatives
/api/skills/search?q=daily-brief-bot&limit=3
Agent prompt
Use daily-brief-bot for this task. Review https://www.openagentskill.com/api/skills/bam-bam-2-daily-brief-bot/install, then install with: npx skills add bam-bam-2/solo-skills --skill daily-brief-botRegistry 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/bam-bam-2-daily-brief-bot
LLM text
/api/registry/manifest/bam-bam-2-daily-brief-bot?format=text
Install alias
/api/registry/install/bam-bam-2-daily-brief-bot
Recommend
/api/registry/recommend?task=Use%20daily-brief-bot%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
Needs review · 72/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Needs validation for Coding agents
Do a manual repository review before adding this to an agent workflow.
Role in stack
Needs validation
Primary fit
Coding agents
Trust label
Needs manual review
Install path
Command ready
Use when
- Coding 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
- Skill is highly specific to the author's personal environment (remote host, vault paths, gpters.org), which may limit reuse by others without adaptation.
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Coding 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
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
FIX11 GitHub stars
Stars/forks activity
FIX11 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
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
- Skill is highly specific to the author's personal environment (remote host, vault paths, gpters.org), which may limit reuse by others without adaptation.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, network or browser access
- GitHub adoption: 11 GitHub stars
- Stars/forks activity: 11 stars, 4 forks; issue activity unavailable in current metadata
- README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
- Permission surface: secrets or environment access, network or browser access
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Parse messy files
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Add it to a complete workflow
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.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
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
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Overview
--- name: daily-brief-bot description: "매일 정해진 시간에 관심 주제 아티클을 수집·요약해 디스코드로 받는 봇을 만들고 튜닝한다. 톤·길이·발송 시각 조정 방법 포함." ---
# 데일리 브리프봇
사용자는 매일 아침 10시에 디스코드 DM으로 **데일리 브리프봇** 아티클을 받는다. 지피터스(gpters.org) 신규 글을 전부 읽고, 사용자의 제2두뇌 볼트·에이사이드 스킬/메모리와 대조해 사용자가 지금 붙들고 있는 고민에 닿는 3건을 골라 편지 형식으로 보낸다. 각 항목에 번호(1~3)와 원문 링크가 붙어 있다.
"여백"은 이 봇이 후보를 고르는 내부 판정 기준을 부르는 말이다(볼트에 한 번도 안 나온 것). 사용자에게 말할 때는 봇 이름인 **데일리 브리프봇**으로 부른다.
## 트리거
- **"데일리 브리프봇 고치자"** — 톤·길이·건수·시간 등 편집. 아래 편집 표 참고 - **"데일리 브리프봇 2번 해보자"** / "8/13 2번 해보자" / "어제 그거 해보자" — 실행 - "오늘 데일리 브리프봇 뭐 왔어" — 읽어주기만 - "이거 볼트에 넣어" — 볼트 승격 - 옛 호칭 "여백 브리핑"으로 불러도 같은 것을 가리킨다
## 인프라 위치 (전부 원격 머신, `ssh remote-host`)
``` ~/Projects/<프로젝트>/ prompt-template.md ★ 톤·형식·길이·몇 건을 결정하는 유일한 파일. 편집은 거의 여기만 고친다 collect.mjs 지피터스 신규 글 수집 (Bettermode GraphQL, 게스트 토큰 · 로그인 불필요) brief.mjs 볼트·스킬·메모리 대조 → 후보 22건 추린 뒤 템플릿에 끼워 프롬프트 생성 verify.mjs 브리핑 링크가 실제 수집분인지 대조·정정 dm.py 디스코드 DM 발송 (stdin → 사용자 DM, 1900자씩 분할) capture.py 사용자의 DM 답장 회수 (10분마다) run.sh 매일 10:00 전체 실행 (launchd com.bambam.gpters-brief) .env DISCORD_TOKEN / BAMBAM_USER_ID / CLAUDE_CODE_OAUTH_TOKEN (600) ctx/ 맥북에서 동기화한 에이사이드 skills/ · memory/ ("이미 하고 있는 것" 판정용) state/ posts-YYYY-MM-DD.json 그날 수집한 글 전문 brief-YYYY-MM-DD.md 그날 보낸 아티클 marks.jsonl 사용자가 DM에서 표시한 관심 항목 done.jsonl 실제로 실현한 항목 (재제안 금지 목록) ```
사용자 볼트: `~/Library/Mobile Documents/com~apple~CloudDocs/제2두뇌` (원격 머신에서도 접근됨)
## 현재 확정된 형식 (2026-08-13 사용자 승인)
- **아티클이다. 목록이나 알림이 아니다.** 링크를 하나도 안 눌러도 내용을 다 알 수 있어야 한다. - 문체는 **"사용자님" + 해요체의 편지**. 관찰 보고서 금지. - 첫 문단은 반드시 **"요즘 ~에 걸려 계신 것 같아요"** 로 시작해 고민을 한 가지로 짚는다. 노트 제목 나열 금지. 틀려도 좋으니 구체적으로 짚는다. - 3건, 전체 1만자 안팛. 앞 2건은 짚은 고민에 바로 닿는 것, 마지막 1건은 안 해본 것. - 각 항목: 그 사람 상황 → 무엇을 어떻게 했는지(도구·프롬프트·숫자 그대로) → 결과 → 사용자님 쪽이랑 겹치는 데(볼트·스킬 근거) → "이거 한번 시도해보시면 어때요?" → 오늘 30분 → 원문 링크
## 편집 요청 처리
사용자가 "데일리 브리프봇 고치자" 계열로 말하면 아래에서 해당하는 파일만 고친다.
| 요청 | 고칠 곳 | |---|---| | 톤, 문체, 형식, 길이, 몇 건, 어떤 순서로, 금지 표현 | `prompt-template.md` ← 거의 전부 여기 | | 어떤 글을 후보로 올릴지 (점수 기준, 후보 개수, 활동 판정 기간 7일) | `brief.mjs` | | 어떤 카테고리를 수집할지, 몇 건 가져올지 | `collect.mjs` | | 보내는 시각 | `~/Library/LaunchAgents/com.bambam.gpters-brief.plist` → 수정 후 unload/load | | 모델 (클로드 → 코덱스 폴백) | `run.sh` |
고친 뒤에는 반드시 한 번 돌려보고 결과를 보여준 다음 발송한다. ``` ssh remote-host 'cd ~/Projects/<프로젝트> && node brief.mjs && set -a && . ./.env && set +a && claude -p < state/prompt-<날짜>.txt' ```
맥북 스킬/메모리가 바뀜으면 판정 근거도 갱신해야 한다. ``` rsync -az --delete 스킬 폴더 remote-host:~/Projects/<프로젝트>/ctx/skills/ rsync -az --exclude='.history.jsonl' --exclude='memory-index.json' --exclude='.moss-cache' --exclude='.git' 에이전트 메모 remote-host:~/Projects/<프로젝트>/ctx/memory/ ```
## "데일리 브리프봇 N번 해보자" 처리 절차
1. **원문 전문부터 읽는다.** 브리핑 요약만 보고 시작하지 마라. ``` ssh remote-host 'cat ~/Projects/<프로젝트>/state/brief-<날짜>.md' ``` 해당 항목의 링크에서 post ID를 뽑아 `posts-<날짜>.json`에서 `body`를 꺼낸다.
2. **사용자 볼트의 관련 노트를 읽는다.** 브리핑의 "사용자 쪽 연결" 줄에 적힌 노트를 실제로 열어본다. 남이 쓴 방법을 그대로 옮기지 말고, 사용자가 이미 가진 것과 겹치는 부분을 먼저 확인한다.
3. **사용자 환경 기준으로 다시 짠 실행안을 제시하고 승인받는다.** - 원문에서 그대로 쓸 것 / 사용자 환경에 맞게 바꿀 것 / 안 쓸 것을 구분해서 보여준다 - 되돌리기 어려운 작업(배포, 결제, 삭제)은 승인 전에 절대 실행하지 않는다
4. **실행한다.** 무거운 작업이면 원격 머신로 넘긴다(`macmini-offload` 스킬).
5. **끝나면 기록한다.** - 볼트: 새 노트를 만들지 말고 **기존 노트에 한 줄 덧붙인다.** `[[위키링크]]` 문법 지킬 것. 예) `참고: 정본노트를 채널별 브리프로 분리하는 OSMU 방식 — https://...` 새 개념 노트가 필요할 정도면 사용자에게 먼저 묻는다. - `done.jsonl`에 한 줄 추가: ``` ssh remote-host 'echo "{\"date\":\"2026-08-13\",\"no\":2,\"post\":\"<postId>\",\"title\":\"...\",\"result\":\"...\"}" >> ~/Projects/<프로젝트>/state/done.jsonl' ``` 이게 있으면 같은 주제를 다시 제안하지 않는다.
## 설계 원칙 (사용자가 직접 정한 것)
- **여백 = 사용자가 지금 하는 일과 인접한데, 볼트 761개 노트에 한 번도 기록된 적 없는 것.** 미결 목록은 고민이 아니다. 사용자가 선택을 안 한 건 그냥 넘긴 것일 수 있다. - "지금 하는 일"은 사용자에게 묻지 말고 **볼트에서 최근 7일 수정된 노트**로 판단한다. - **읽지 않은 것은 볼트에 넣지 않는다.** 브리핑 원본은 원격 머신에 30일만 두고 자동 삭제된다. 볼트로 올라가는 건 사용자가 표시했거나 실제로 해봤을 때뿐이다. - 억지로 4개를 채우지 않는다. 그날 걸리는 게 없으면 비운다. - 볼트가 커질수록 "이미 아는 것"이 두꺼워져 여백이 좁아진다. 그게 정상이다.
## 톤
- 이모지 쓰지 않는다. - 금지 표현: "~이 아니라" 대조 구문, "굴러가다", "여정", "진짜 기준", 안심시키려는 문장. - 볼트에 없는 걸 있다고 말하지 않는다. 근거는 실제 노트 경로로 댄다.
## 아바타 교체
후보 4종이 원격 머신 `~/Projects/<프로젝트>/assets/` 에 있다 (**b_bot 적용 중** / a_owl / c_book / d_cat). 사용자가 로봇을 골랐다. 40px 원형으로 잘려도 눈 두 개와 안테나 라임 점이 살아남는다. 커뮤니티 브랜드 컬러 기준: 배경 `#0d0d0d`, 강조 `#d4f000`. 디스코드는 작은 원으로 잘리니 여백을 넉넉히 둔 단순한 형태만 쓴다.
``` ssh remote-host 'cd ~/Projects/<프로젝트> && set -a && . ./.env && set +a && python3 -c " import os,json,base64,urllib.request img=base64.b64encode(open(\"assets/b_bot.png\",\"rb\").read()).decode() H={\"Authorization\":\"Bot \"+os.environ[\"DISCORD_TOKEN\"],\"User-Agent\":\"DiscordBot (https://github.com, 1.0)\",\"Content-Type\":\"application/json\"} r=urllib.request.Request(\"https://discord.com/api/v10/users/@me\",data=json.dumps({\"avatar\":\"data:image/png;base64,\"+img}).encode(),headers=H,method=\"PATCH\") print(json.load(urllib.request.urlopen(r))[\"username\"])"' ```
## 어휘 수준 (2026-08-13 교정)
사용자는 개발자가 아니다. **읽다가 모르는 단어가 하나라도 나오면 실패다.** 전문용어는 처음 나올 때 괄호로 풀고, 영어 약어는 우리말로 바꾸고, 명령어·코드는 역할 설명이 붙을 때만 쓴다. 단 숫자와 구체적 사실은 그대로 살린다. 쉽게 쓰라는 게 내용을 빼라는 뜻이 아니다. 자세한 규칙은 `prompt-template.md` 의 "말투와 어휘" 절에 있다.
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 22, 2026
- Published
- Aug 22, 2026
Decision snapshot
Needs validation
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 75/100
- 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 daily-brief-bot, ready for a manual X post.
Before you hand an agent a repeatable workflow, give it a repeatable starting point. daily-brief-bot: 매일 정해진 시간에 관심 주제 아티클을 수집·요약해 디스코드로 받는 봇을 만들고 튜닝한다. 톤·길이·발송 시각 조정 방법 포함. 11 stars https://www.openagentskill.com/skills/bam-bam-2-daily-brief-bot?ref=x
Optional reply with install command
Listing + install path for daily-brief-bot: https://www.openagentskill.com/skills/bam-bam-2-daily-brief-bot?ref=x Install: npx skills add bam-bam-2/solo-skills --skill daily-brief-bot
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- bam-bam-2
- Source
- bam-bam-2/solo-skills
- 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 bam-bam-2 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/bam-bam-2-daily-brief-bot)
[](https://www.openagentskill.com/skills/bam-bam-2-daily-brief-bot)
[](https://www.openagentskill.com/skills/bam-bam-2-daily-brief-bot/audit)
[](https://www.openagentskill.com/skills/bam-bam-2-daily-brief-bot)Author
bam-bam-2
@bam-bam-2
Tags
Platform fit
Health signals
- GitHub stars
- 11
- Quality score
- 31/100
- Last GitHub push
- Aug 22, 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
Do not auto-install
- GitHub adoption11 GitHub starsFIX
- Stars/forks activity11 stars, 4 forks; issue activity unavailable in current metadataFIX
- Recent maintenance1d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextCHECK
- Dependency/runtime riskcredential or environment access, network or browser surfaceINFO
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