Agent skill

Agent Research Aggregator

by Ar9av in Ar9av/PaperOrchestra

Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric…

Custom licenceAuto-check passedResearch & Science

Install Agent Research Aggregator

skills CLI
$ npx skills add Ar9av/PaperOrchestra --skill agent-research-aggregator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Ar9av/PaperOrchestra agent-research-aggregator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Ar9av/PaperOrchestra.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-research-aggregator .claude/skills/agent-research-aggregator && rm -rf skills-src

Use ~/.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/

Facts

Skill name
agent-research-aggregator
GitHub stars
677
Used in
1 other repo
Token cost
~3.5k tokens
SKILL.md length
1,206 words
Files
7 (incl. scripts, references)
Skills in repo
9
Repo updated
First seen
Licence
Custom licence

At a glance

Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric…

  • Works in 6 steps: Discovery (deterministic) → 5 — Project Selection (mandatory) → Extraction (LLM-assisted) → …
  • The user says aggregate my agent logs for paper writing
  • SKILL.md covers Should I run? (decision gate), Inputs, Phase 1 — Discovery… and Phase 1.5 — Project Selection…, plus 8 more sections
  • Runs Python scripts from its folder; calls python

What it does

Agent Research Aggregator is an agent skill from Ar9av/PaperOrchestra. Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric results, and formats them as PaperOrchestra-ready inputs (idea.md + experimentallog.md). TRIGGER when the user says "aggregate my agent logs for paper writing", "extract experiments from my coding agent history", "prepare PaperOrchestra inputs from my cache", "turn my agent logs into a paper", mentions a folder or…

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/extraction-prompt.md`, `references/log-formats.md` and `references/synthesis-prompt.md`).

It sits in Research & Science, covering Scientific writing and A/B testing. It works with arXiv. The repository describes itself as: An automated AI research-paper writer based off Google's PaperOrchestra paper's implementation through a skills - benchmark + autoraters using any coding agent (Claude Code…

When your agent uses it

  • The user says aggregate my agent logs for paper writing
  • Extract experiments from my coding agent history
  • Prepare PaperOrchestra inputs from my cache
  • Turn my agent logs into a paper

Example prompts

  • “aggregate my agent logs for paper writing”
  • “extract experiments from my coding agent history”
  • “prepare PaperOrchestra inputs from my cache”
  • “/agent-research-aggregator”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Discovery (deterministic)
  2. 5 — Project Selection (mandatory)
  3. Extraction (LLM-assisted)
  4. Synthesis (LLM-assisted)
  5. Formatting (deterministic)
  6. Audit Report (deterministic)

What it can do on your machine

Read from SKILL.md and the folder at commit 36c3cc4. 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

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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

Agent Research Aggregator loads about 3.5k tokens when it runs, and up to ~7.4k if it reads all its reference files. Until then it costs about 216 tokens; SKILL.md has 1,206 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~216
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.4k

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); the scripts in this folder are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,206 words (~3,547 tokens).

“Before starting Phase 1, check whether aggregation is actually needed:”

— opening of SKILL.md by Ar9av, Custom licence
name
agent-research-aggregator

Read the full SKILL.md on GitHub

Files

SKILL.md and 6 other files (scripts, references) in skills/agent-research-aggregator of Ar9av/PaperOrchestra.

  • SKILL.md
  • references/extraction-prompt.md
  • references/log-formats.md
  • references/synthesis-prompt.md
  • scripts/discover_logs.py
  • scripts/extract_experiments.py
  • scripts/format_po_inputs.py

Open the folder on GitHubat commit 36c3cc4

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in Ar9av/PaperOrchestra, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Agent Research Aggregator 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.

Agent Research Aggregator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Research Aggregator this skillAr9av/PaperOrchestra6771 repos~3.5kAutomated safety check: PassCustom licence
Citation Verification GuideGalaxy-Dawn/claude-scholar5.7k2 repos~1.9kAutomated safety check: PassMIT
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT
Hugging Face Paper Publisherhuggingface/skills11k4 repos~4.2kAutomated safety check: PassApache-2.0
Scientific Writingneflibata-feng/MyArxiv-Agent12618 repos~8.4kAutomated safety check: NotesMIT
Citation VerificationLight0305/Light-skills640—~3.4kAutomated safety check: PassMIT

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More from Ar9av/PaperOrchestra

All 9 skills in this repo
  • Literature Review Agent

    Ar9av/PaperOrchestra

    Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.

    677 GitHub starsUsed in 1 repo~5.2k tokens
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  • Outline Agent

    Ar9av/PaperOrchestra

    Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.

    677 GitHub starsUsed in 1 repo~1.6k tokens
    Auto-check passed
  • Paper Autoraters

    Ar9av/PaperOrchestra

    Run the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App.

    677 GitHub starsUsed in 1 repo~1.6k tokens
    Auto-check passed
  • Paper Orchestra

    Ar9av/PaperOrchestra

    Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines…

    677 GitHub starsUsed in 1 repo~3.5k tokens
    Auto-check passed
  • Plotting Agent

    Ar9av/PaperOrchestra

    Step 2 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.

    677 GitHub starsUsed in 1 repo~2.3k tokens
    Auto-check passed
  • Section Writing Agent

    Ar9av/PaperOrchestra

    Step 4 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.

    677 GitHub starsUsed in 1 repo~3.3k tokens
    Auto-check passed

Works with

Questions about Agent Research Aggregator

What does Agent Research Aggregator do?

Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric…. Agent Research Aggregator is an agent skill from Ar9av/PaperOrchestra.md).

When should I use Agent Research Aggregator?

Agent Research Aggregator fits situations like: the user says aggregate my agent logs for paper writing; extract experiments from my coding agent history; prepare PaperOrchestra inputs from my cache; turn my agent logs into a paper.

How do I install Agent Research Aggregator in Claude Code?

Run `npx skills add Ar9av/PaperOrchestra --skill agent-research-aggregator -a claude-code`. Or copy the skill folder (skills/agent-research-aggregator in Ar9av/PaperOrchestra) into .claude/skills/agent-research-aggregator in your project. Claude Code loads it when a task matches its description.

How do I install Agent Research Aggregator in Codex?

Run `npx skills add Ar9av/PaperOrchestra --skill agent-research-aggregator -a codex`. Or copy the skill folder (skills/agent-research-aggregator in Ar9av/PaperOrchestra) into .agents/skills/agent-research-aggregator in your project. Codex loads it when a task matches its description.

Can I use Agent Research Aggregator 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 Ar9av/PaperOrchestra --skill agent-research-aggregator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-research-aggregator, .gemini/skills/agent-research-aggregator, .github/skills/agent-research-aggregator and .opencode/skills/agent-research-aggregator in your project.

What does Agent Research Aggregator need to run?

Going by SKILL.md and its folder, Agent Research Aggregator needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Agent Research Aggregator access the network?

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.

Is Agent Research Aggregator 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Agent Research Aggregator use?

Agent Research Aggregator has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Agent Research Aggregator use?

About 3.5k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.9k tokens, read only when the agent opens those files.

What are the alternatives to Agent Research Aggregator?

Skills that share tags, products or a category with Agent Research Aggregator: Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k stars), Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars), Hugging Face Paper Publisher (huggingface/skills, 11k stars) and Scientific Writing (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Research Aggregator?

Ar9av (a GitHub user) maintains it in Ar9av/PaperOrchestra, which has 677 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on September 21, 2026.

Source: Ar9av/PaperOrchestra on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.