How do I install the Agent Survey Corpus skill?

Run npx skillmds add willoscar/agent-survey-corpus in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Agent Survey Corpus safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Agent Survey Corpus?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Agent Survey Corpus free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Agent Survey Corpus?

WILLOSCAR (@willoscar) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Agent Survey Corpus by willoscar — Agent Skill

Name: Agent Survey Corpus
Rating: 4.2 (5 reviews)
Author: WILLOSCAR

File contents

Agent Survey Corpus (arXiv PDFs → text extracts)

Triggers & routing

Trigger: agent survey corpus, ref corpus, download surveys, 学习综述写法, 下载 survey.
Use when: you want to study how real agent surveys structure sections (6–8 H2), size subsections, and write evidence-backed comparisons.

Goal: create a small, local reference library so you can learn from real agent surveys when refining:

C2 outline structure (paper-like sectioning)
C4 tables/claims organization
C5 writing style and density

This is intentionally not part of the pipeline; it is an optional, repo-level toolkit.

Inputs

ref/agent-surveys/arxiv_ids.txt

Outputs

ref/agent-surveys/pdfs/
ref/agent-surveys/text/
ref/agent-surveys/STYLE_REPORT.md (tracked; auto-generated summary)

Workflow

Edit ref/agent-surveys/arxiv_ids.txt (one arXiv id per line).
Run the downloader to fetch PDFs and extract the first N pages to text.
Skim the extracted text under ref/agent-surveys/text/:
- look at section counts (H2), subsection granularity (H3), and how they transition between chapters.
- identify repeated rhetorical patterns you want the pipeline writer to imitate.

Script

Quick Start

uv run python .codex/skills/agent-survey-corpus/scripts/run.py --help
uv run python .codex/skills/agent-survey-corpus/scripts/run.py --workspace . --max-pages 20

All Options

--workspace <dir> (use . to write into repo root)
--inputs <semicolon-separated> (default: ref/agent-surveys/arxiv_ids.txt)
--max-pages <N> (default: 20)
--sleep <seconds> (default: 1.0)
--overwrite (re-download + re-extract)

Examples

Download/extract into repo root ref/:
- uv run python .codex/skills/agent-survey-corpus/scripts/run.py --workspace . --max-pages 20
Download/extract into a specific folder (treated as workspace root):
- uv run python .codex/skills/agent-survey-corpus/scripts/run.py --workspace /tmp/surveys --max-pages 30

Troubleshooting

Download fails / timeout: rerun with a larger --sleep, or try fewer ids.
Text extract is empty: the PDF may be scanned; try another survey or increase --max-pages.
Files showing up in git status: PDFs/text are ignored via .gitignore (ref/**/pdfs/, ref/**/text/).

---name: agent-survey-corpusdescription: Download a small corpus of open-access arXiv survey/review PDFs about agentic systems and extract text for style learning.---# Agent Survey Corpus (arXiv PDFs → text extracts)## Triggers & routing- **Trigger**: agent survey corpus, ref corpus, download surveys, 学习综述写法, 下载 survey.- **Use when**: you want to study how real agent surveys structure sections (6–8 H2), size subsections, and write evidence-backed comparisons.Goal: create a small, local reference library so you can **learn from real agent surveys** when refining:- C2 outline structure (paper-like sectioning)- C4 tables/claims organization- C5 writing style and densityThis is intentionally *not* part of the pipeline; it is an optional, repo-level toolkit.## Inputs- `ref/agent-surveys/arxiv_ids.txt`## Outputs- `ref/agent-surveys/pdfs/`- `ref/agent-surveys/text/`- `ref/agent-surveys/STYLE_REPORT.md` (tracked; auto-generated summary)## Workflow1) Edit `ref/agent-surveys/arxiv_ids.txt` (one arXiv id per line).2) Run the downloader to fetch PDFs and extract the first N pages to text.3) Skim the extracted text under `ref/agent-surveys/text/`: - look at section counts (H2), subsection granularity (H3), and how they transition between chapters. - identify repeated rhetorical patterns you want the pipeline writer to imitate.## Script### Quick Start- `uv run python .codex/skills/agent-survey-corpus/scripts/run.py --help`- `uv run python .codex/skills/agent-survey-corpus/scripts/run.py --workspace . --max-pages 20`### All Options- `--workspace <dir>` (use `.` to write into repo root)- `--inputs <semicolon-separated>` (default: `ref/agent-surveys/arxiv_ids.txt`)- `--max-pages <N>` (default: 20)- `--sleep <seconds>` (default: 1.0)- `--overwrite` (re-download + re-extract)### Examples- Download/extract into repo root `ref/`: - `uv run python .codex/skills/agent-survey-corpus/scripts/run.py --workspace . --max-pages 20`- Download/extract into a specific folder (treated as workspace root): - `uv run python .codex/skills/agent-survey-corpus/scripts/run.py --workspace /tmp/surveys --max-pages 30`## Troubleshooting- **Download fails / timeout**: rerun with a larger `--sleep`, or try fewer ids.- **Text extract is empty**: the PDF may be scanned; try another survey or increase `--max-pages`.- **Files showing up in git status**: PDFs/text are ignored via `.gitignore` (`ref/**/pdfs/`, `ref/**/text/`).

Frequently asked questions