Remote Sensing Research Radar
limi124/remote-sensing-research-radar
Track, retrieve, screen, and synthesize research frontiers for geospatial AI, remote sensing big data, and transferable computer vision methods.
A skill your agent uses when operating or maintaining the RS-PaperClaw pipeline that fetches remote-sensing arXiv papers, creates per-paper issues, builds daily digests, reconciles issue sets, and…
$ npx skills add thinson/RS-PaperClaw --skill rs-paper-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install thinson/RS-PaperClaw rs-paper-pipeline --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/thinson/RS-PaperClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/rs-paper-pipeline .claude/skills/rs-paper-pipeline && 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 "rs-paper-pipeline" agent skill from https://github.com/thinson/RS-PaperClaw/tree/main/skills/rs-paper-pipeline into .claude/skills/rs-paper-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rs-paper-pipeline", 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/thinson/RS-PaperClaw/tree/main/skills/rs-paper-pipelineType 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 thinson/RS-PaperClaw --skill rs-paper-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install thinson/RS-PaperClaw rs-paper-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/thinson/RS-PaperClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/rs-paper-pipeline .agents/skills/rs-paper-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "rs-paper-pipeline" agent skill from https://github.com/thinson/RS-PaperClaw/tree/main/skills/rs-paper-pipeline into .agents/skills/rs-paper-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rs-paper-pipeline", 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 thinson/RS-PaperClaw --skill rs-paper-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install thinson/RS-PaperClaw rs-paper-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/thinson/RS-PaperClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/rs-paper-pipeline .cursor/skills/rs-paper-pipeline && 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 "rs-paper-pipeline" agent skill from https://github.com/thinson/RS-PaperClaw/tree/main/skills/rs-paper-pipeline into .cursor/skills/rs-paper-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rs-paper-pipeline", 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/thinson/RS-PaperClaw.git --path skills/rs-paper-pipeline--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 thinson/RS-PaperClaw --skill rs-paper-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install thinson/RS-PaperClaw rs-paper-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/thinson/RS-PaperClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/rs-paper-pipeline .gemini/skills/rs-paper-pipeline && 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 "rs-paper-pipeline" agent skill from https://github.com/thinson/RS-PaperClaw/tree/main/skills/rs-paper-pipeline into .gemini/skills/rs-paper-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rs-paper-pipeline", 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 thinson/RS-PaperClaw rs-paper-pipelineInstalls 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 thinson/RS-PaperClaw --skill rs-paper-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/thinson/RS-PaperClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/rs-paper-pipeline .github/skills/rs-paper-pipeline && 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 "rs-paper-pipeline" agent skill from https://github.com/thinson/RS-PaperClaw/tree/main/skills/rs-paper-pipeline into .github/skills/rs-paper-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rs-paper-pipeline", 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 thinson/RS-PaperClaw --skill rs-paper-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install thinson/RS-PaperClaw rs-paper-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/thinson/RS-PaperClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/rs-paper-pipeline .opencode/skills/rs-paper-pipeline && 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 "rs-paper-pipeline" agent skill from https://github.com/thinson/RS-PaperClaw/tree/main/skills/rs-paper-pipeline into .opencode/skills/rs-paper-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rs-paper-pipeline", 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.
rs-paper-pipelineA skill your agent uses when operating or maintaining the RS-PaperClaw pipeline that fetches remote-sensing arXiv papers, creates per-paper issues, builds daily digests, reconciles issue sets, and…
Rs Paper Pipeline is an agent skill from thinson/RS-PaperClaw. Use this skill when operating or maintaining the RS-PaperClaw pipeline that fetches remote-sensing arXiv papers, creates per-paper issues, builds daily digests, reconciles issue sets, and syncs dailyreports back to the repository.
Its SKILL.md is about 320 tokens, which your agent loads only when the skill is triggered. The skill folder holds 56 other files, including scripts (for example `AGENT_GUIDE_RS_PIPELINE.md`, `CONTRIBUTING.md` and `CUSTOMIZATION_GUIDE.md`).
It sits in Data & Analytics, covering Geospatial analysis. It works with arXiv and Python. The repository describes itself as: 🦞 Stop reading remote sensing papaers manually — RS-PaperClaw auto-tracks, auto-analyzes, and auto-digests remote sensing papers. The licence is MIT.
Read from SKILL.md and the folder at commit 7a89e96. It shows what the files ask for, not the result of running them.
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.
Ships 6 files in scripts/ (Python and Shell, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GITHUB_TOKENLLM_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Rs Paper Pipeline loads about 319 tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 97 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.
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); the scripts in this folder are not scanned.
The full file from thinson/RS-PaperClaw at commit 7a89e96, republished under its MIT licence (© thinson). 97 words, ~319 tokens.
.claude/skills/rs-paper-pipeline/SKILL.md (or your agent's skills folder). This skill also uses 54 other files; get the full folder from GitHub.Operate this skill from skills/rs-paper-pipeline/.
GITHUB_TOKENLLM_API_KEYOptional:
DINGTALK_WEBHOOKFEISHU_TARGETRS_GITHUB_REPOLLM_MODELLLM_API_URLpython3 scripts/cli.py doctorpython3 scripts/cli.py runpython3 scripts/cli.py run --date YYYYMMDD --no-notifypython3 scripts/cli.py filter --dry-run --date YYYYMMDDpython3 scripts/cli.py reconcile --date YYYYMMDD --dry-runpython3 scripts/cli.py reconcile --date YYYYMMDDDo not hardcode article-list rules in Python.
scripts/config/filter_keywords.jsonscripts/prompts/filter_cross_prompt.mdIf filtering behavior changes, update those files first, then validate with filter --dry-run.
© thinson, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 54 other files (scripts) in skills/rs-paper-pipeline of thinson/RS-PaperClaw.
Open the folder on GitHubat commit 7a89e96
Rs Paper Pipeline 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 |
|---|---|---|---|---|---|---|
| Rs Paper Pipeline this skillthinson/RS-PaperClaw | 230 | — | ~319 | Automated safety check: Pass | MIT | |
| Remote Sensing Research Radarlimi124/remote-sensing-research-radar | 143 | — | ~1.3k | Automated safety check: Pass | None | |
| GeoPandas Spatial Analysisdavila7/claude-code-templates | 33k | 10 repos | ~1.8k | Automated safety check: Pass | MIT | |
| GeomasterLeonChaoX/qinyan-academic-skills | 944 | 1 repos | ~2.9k | Automated safety check: Pass | MIT | |
| GeomasterK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.8k | Automated safety check: Pass | MIT | |
| GeopandasK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.8k | Automated safety check: Notes | MIT |
limi124/remote-sensing-research-radar
Track, retrieve, screen, and synthesize research frontiers for geospatial AI, remote sensing big data, and transferable computer vision methods.
davila7/claude-code-templates
Handles vector geospatial data in Python with GeoPandas: reading shapefiles, GeoJSON and GeoPackage, reprojecting, spatial joins, overlays, clipping and maps.
LeonChaoX/qinyan-academic-skills
Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains.
K-Dense-AI/scientific-agent-skills
Supports geospatial research workflows for remote sensing, vector and raster GIS, spatial statistics, terrain and network analysis, and machine learning for Earth observation.
K-Dense-AI/scientific-agent-skills
Guidance and local audit tools for Python workflows that directly use GeoPandas GeoSeries, GeoDataFrame, spatial operations, or vector-data I/O.
agent-skills-hub/agent-skills-hub
Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains.
Categories
A skill your agent uses when operating or maintaining the RS-PaperClaw pipeline that fetches remote-sensing arXiv papers, creates per-paper issues, builds daily digests, reconciles issue sets, and…. Rs Paper Pipeline is an agent skill from thinson/RS-PaperClaw. Use this skill when operating or maintaining the RS-PaperClaw pipeline that fetches remote-sensing arXiv papers, creates per-paper issues, builds daily digests, reconciles issue sets, and syncs dailyreports back to the repository.
Rs Paper Pipeline fits situations like: maintaining the RS-PaperClaw pipeline that fetches remote-sensing arXiv papers; creates per-paper issues; builds daily digests; reconciles issue sets.
Run `npx skills add thinson/RS-PaperClaw --skill rs-paper-pipeline -a claude-code`. Or copy the skill folder (skills/rs-paper-pipeline in thinson/RS-PaperClaw) into .claude/skills/rs-paper-pipeline in your project. Claude Code loads it when a task matches its description.
Run `npx skills add thinson/RS-PaperClaw --skill rs-paper-pipeline -a codex`. Or copy the skill folder (skills/rs-paper-pipeline in thinson/RS-PaperClaw) into .agents/skills/rs-paper-pipeline in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add thinson/RS-PaperClaw --skill rs-paper-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rs-paper-pipeline, .gemini/skills/rs-paper-pipeline, .github/skills/rs-paper-pipeline and .opencode/skills/rs-paper-pipeline in your project.
Going by SKILL.md and its folder, Rs Paper Pipeline needs Python and a shell for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named GITHUB_TOKEN and LLM_API_KEY. Our summary lists: Python 3; A Bash shell; A credential in GITHUB_TOKEN; A credential in LLM_API_KEY.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Rs Paper Pipeline is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 319 tokens (SKILL.md is roughly 1.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Rs Paper Pipeline: Remote Sensing Research Radar (limi124/remote-sensing-research-radar, 143 stars), GeoPandas Spatial Analysis (davila7/claude-code-templates, 33k stars), Geomaster (LeonChaoX/qinyan-academic-skills, 944 stars) and Geomaster (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
thinson (a GitHub user) maintains it in thinson/RS-PaperClaw, which has 230 GitHub stars. The repository was last updated on October 9, 2026.
Source: thinson/RS-PaperClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.