News Aggregator Skill
cclank/news-aggregator-skill
Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 44+ sources including Hacker News, Lobsters, Dev.to, GitHub, arXiv, Hugging Face Papers, AIHOT, TLDR…
Run the experiment-issue TL;DR scrub only from its scheduler or an explicit request for that scrub.
Install Scrub Experiment Issue Tldrs
$ npx skills add marin-community/marin --skill scrub-experiment-issue-tldrs -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install marin-community/marin scrub-experiment-issue-tldrs --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/marin-community/marin.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/scrub-experiment-issue-tldrs .claude/skills/scrub-experiment-issue-tldrs && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "scrub-experiment-issue-tldrs" agent skill from https://github.com/marin-community/marin/tree/main/.agents/skills/scrub-experiment-issue-tldrs into .claude/skills/scrub-experiment-issue-tldrs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrub-experiment-issue-tldrs", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/marin-community/marin/tree/main/.agents/skills/scrub-experiment-issue-tldrsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add marin-community/marin --skill scrub-experiment-issue-tldrs -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install marin-community/marin scrub-experiment-issue-tldrs --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marin-community/marin.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/scrub-experiment-issue-tldrs .agents/skills/scrub-experiment-issue-tldrs && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scrub-experiment-issue-tldrs" agent skill from https://github.com/marin-community/marin/tree/main/.agents/skills/scrub-experiment-issue-tldrs into .agents/skills/scrub-experiment-issue-tldrs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrub-experiment-issue-tldrs", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add marin-community/marin --skill scrub-experiment-issue-tldrs -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install marin-community/marin scrub-experiment-issue-tldrs --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marin-community/marin.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/scrub-experiment-issue-tldrs .cursor/skills/scrub-experiment-issue-tldrs && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "scrub-experiment-issue-tldrs" agent skill from https://github.com/marin-community/marin/tree/main/.agents/skills/scrub-experiment-issue-tldrs into .cursor/skills/scrub-experiment-issue-tldrs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrub-experiment-issue-tldrs", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/marin-community/marin.git --path .agents/skills/scrub-experiment-issue-tldrs--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add marin-community/marin --skill scrub-experiment-issue-tldrs -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install marin-community/marin scrub-experiment-issue-tldrs --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marin-community/marin.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/scrub-experiment-issue-tldrs .gemini/skills/scrub-experiment-issue-tldrs && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "scrub-experiment-issue-tldrs" agent skill from https://github.com/marin-community/marin/tree/main/.agents/skills/scrub-experiment-issue-tldrs into .gemini/skills/scrub-experiment-issue-tldrs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrub-experiment-issue-tldrs", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install marin-community/marin scrub-experiment-issue-tldrsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add marin-community/marin --skill scrub-experiment-issue-tldrs -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/marin-community/marin.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/scrub-experiment-issue-tldrs .github/skills/scrub-experiment-issue-tldrs && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "scrub-experiment-issue-tldrs" agent skill from https://github.com/marin-community/marin/tree/main/.agents/skills/scrub-experiment-issue-tldrs into .github/skills/scrub-experiment-issue-tldrs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrub-experiment-issue-tldrs", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add marin-community/marin --skill scrub-experiment-issue-tldrs -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install marin-community/marin scrub-experiment-issue-tldrs --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marin-community/marin.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/scrub-experiment-issue-tldrs .opencode/skills/scrub-experiment-issue-tldrs && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "scrub-experiment-issue-tldrs" agent skill from https://github.com/marin-community/marin/tree/main/.agents/skills/scrub-experiment-issue-tldrs into .opencode/skills/scrub-experiment-issue-tldrs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrub-experiment-issue-tldrs", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
scrub-experiment-issue-tldrs- GitHub stars
- 3.9k
- Token cost
- ~805 tokens
- SKILL.md length
- 420 words
- Files
- 1
- Skills in repo
- 41
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Run the experiment-issue TL;DR scrub only from its scheduler or an explicit request for that scrub.
- Tasks that involve Summarization
- SKILL.md covers Focus, Managed Block Format, Writing Guidance and Helpful Links Guidance, plus 2 more sections
- Calls gh
What it does
Scrub Experiment Issue Tldrs is an agent skill from marin-community/marin. Run the experiment-issue TL;DR scrub only from its scheduler or an explicit request for that scrub.
Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Writing & Content, covering Summarization. The repository describes itself as: Open-source framework for the research and development of foundation models. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Summarization
Example prompts
- “/scrub-experiment-issue-tldrs”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit c468793. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
gh
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Scrub Experiment Issue Tldrs loads about 805 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 420 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from marin-community/marin at commit c468793, republished under its Apache-2.0 licence (© marin-community). 420 words, ~805 tokens.
Download SKILL.mdSave it as
.claude/skills/scrub-experiment-issue-tldrs/SKILL.md (or your agent's skills folder).- name
- scrub-experiment-issue-tldrs
- description
- Run the experiment-issue TL;DR scrub only from its scheduler or an explicit request for that scrub.
scrub-experiment-issue-tldrs
Use this skill on scheduled scrub turns that maintain experiment issue summaries in marin-community/marin.
The Python selector script only picks which issues to inspect and provides thread context. All summary judgment, writing, and GitHub issue editing lives in this workflow.
Focus
- Keep experiment issues understandable to a technically strong newcomer who does not know the local project history.
- Prefer issues whose current body lacks a managed TL;DR block or whose existing summary is weak, stale, vague, or unlabeled.
- Treat closed issues as fully eligible. They often have the clearest conclusions and are good summary targets.
Managed Block Format
For each candidate issue, update or add exactly one managed issue-body block bounded by <!-- experiment-tldr:start --> and <!-- experiment-tldr:end -->.
Write the block as normal Markdown in this shape:
<!-- experiment-tldr:start -->
## Summary
One short newcomer-friendly summary paragraph.
### Helpful links
- <smallest useful set of links>
<!-- experiment-tldr:end -->Writing Guidance
- Explain the setup, the investigation, and why it mattered.
- State the current conclusion, recommendation, or unresolved blocker in concrete language.
- Improve existing managed summaries whenever they are inaccurate, stale, vague, or miss the real conclusion.
- Improve unmanaged summaries too when the issue still lacks the
tldrlabel and the current body is not adequate. - Treat
250words as a soft cap for the summary section, not a target.
Helpful Links Guidance
- Keep the list short.
- Prefer decisive comments, W&B reports, follow-up PRs, linked issues, and similar artifacts that let a reader verify the summary quickly.
- Omit redundant or low-value links.
Show full SKILL.md (195 more words)Show less
Label And Edit Guidance
- The selector script output is the source of truth for candidate order and provided thread context.
- Use
gh issue view --json <fields>,gh pr view --json <fields>, explicit narrow flags such as--comments, andgh apito inspect related issues, PRs, or comments when the provided context is not enough. - Skip issues whose body already matches the desired managed block content.
- The
tldrlabel means the issue now has an adequate newcomer-friendly summary plus enough supporting links to dig deeper. - Add the
tldrlabel when the issue now meets that bar. Remove it when the issue no longer meets that bar. - After updating an issue body, add a short
@dlwhcomment describing what changed.
Output
- Keep the run focused on useful issue-body improvements rather than broad repository changes.
- If there are zero candidates, report that and exit without mutating GitHub.
- If you mutate any issue bodies or labels, report the affected issue numbers and what changed.
- End the run with exactly one footer line of valid one-line JSON:
HARNESS_SCRUB_LOOP {"needs_followup_at":null}. Setneeds_followup_atto null when the run is complete, or a future RFC 3339 timestamp when another follow-up turn is needed.
© marin-community, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/scrub-experiment-issue-tldrs of marin-community/marin.
Open the folder on GitHubat commit c468793
Compare with similar skills
Scrub Experiment Issue Tldrs next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Scrub Experiment Issue Tldrs this skillmarin-community/marin | 3.9k | — | ~805 | Automated safety check: Pass | Apache-2.0 | |
| News Aggregator Skillcclank/news-aggregator-skill | 1.3k | — | ~2.1k | Automated safety check: Pass | None | |
| AI Daily Newsgeekjourneyx/ai-daily-skill | 235 | — | ~2.3k | Automated safety check: Pass | None | |
| Vss Search ArchiveNVIDIA-AI-Blueprints/video-search-and-summarization | 1.9k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| AnalyzeriBigQiang/feedgrab | 614 | — | ~1k | Automated safety check: Pass | MIT | |
| Reportmicrosoft/data-formulator | 18k | — | ~1.5k | Automated safety check: Pass | MIT |
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Categories
Questions about Scrub Experiment Issue Tldrs
What does Scrub Experiment Issue Tldrs do?
Run the experiment-issue TL;DR scrub only from its scheduler or an explicit request for that scrub. Scrub Experiment Issue Tldrs is an agent skill from marin-community/marin. Run the experiment-issue TL;DR scrub only from its scheduler or an explicit request for that scrub.
When should I use Scrub Experiment Issue Tldrs?
Scrub Experiment Issue Tldrs fits situations like: tasks that involve Summarization.
How do I install Scrub Experiment Issue Tldrs in Claude Code?
Run `npx skills add marin-community/marin --skill scrub-experiment-issue-tldrs -a claude-code`. Or copy the skill folder (.agents/skills/scrub-experiment-issue-tldrs in marin-community/marin) into .claude/skills/scrub-experiment-issue-tldrs in your project. Claude Code loads it when a task matches its description.
How do I install Scrub Experiment Issue Tldrs in Codex?
Run `npx skills add marin-community/marin --skill scrub-experiment-issue-tldrs -a codex`. Or copy the skill folder (.agents/skills/scrub-experiment-issue-tldrs in marin-community/marin) into .agents/skills/scrub-experiment-issue-tldrs in your project. Codex loads it when a task matches its description.
Can I use Scrub Experiment Issue Tldrs in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add marin-community/marin --skill scrub-experiment-issue-tldrs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scrub-experiment-issue-tldrs, .gemini/skills/scrub-experiment-issue-tldrs, .github/skills/scrub-experiment-issue-tldrs and .opencode/skills/scrub-experiment-issue-tldrs in your project.
What does Scrub Experiment Issue Tldrs need to run?
Going by SKILL.md and its folder, Scrub Experiment Issue Tldrs needs the command-line tools its instructions call (gh). Our summary lists: Python 3.
Does Scrub Experiment Issue Tldrs access the network?
SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Scrub Experiment Issue Tldrs safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Scrub Experiment Issue Tldrs use?
Scrub Experiment Issue Tldrs is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Scrub Experiment Issue Tldrs use?
About 805 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Scrub Experiment Issue Tldrs?
Skills that share tags, products or a category with Scrub Experiment Issue Tldrs: News Aggregator Skill (cclank/news-aggregator-skill, 1.3k stars), AI Daily News (geekjourneyx/ai-daily-skill, 235 stars), Vss Search Archive (NVIDIA-AI-Blueprints/video-search-and-summarization, 1.9k stars) and Analyzer (iBigQiang/feedgrab, 614 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Scrub Experiment Issue Tldrs?
marin-community (a GitHub organization) maintains it in marin-community/marin, which has 3,921 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on October 10, 2026.
Source: marin-community/marin on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.