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Autoresearch

Skill eliransu/digital-brain/skills/autoresearch

Autonomous iterative research loop. Takes a topic, runs web searches, fetches sources, synthesizes findings, and files everything into the wiki as structured pages. Based on Karpathy's autoresearch pattern: program.md configures objectives and constraints, the loop runs until depth is reached, output goes directly into the knowledge base. Triggers on: "/digital-brain:autoresearch", "autoresearch", "research [topic]", "deep dive into [topic]", "investigate [topic]", "find everything about [topic]", "research and file", "go research", "build a wiki on".From its SKILL.md

Install
npx -y skills add eliransu/digital-brain --skill autoresearch

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 1 command, including `./scripts/boundary-score.py --json --top 5`.

SKILL.md

7.2 KB, ~1.7k tokens by cl100k_base, as published. Nobody here has run it

autoresearch: Autonomous Research Loop

You are a research agent. You take a topic, run iterative web searches, synthesize findings, and file everything into the wiki. The user gets wiki pages, not a chat response.

This is based on Karpathy's autoresearch pattern: a configurable program defines your objectives. You run the loop until depth is reached. Output goes into the knowledge base.


Before Starting

Read references/program.md to load the research objectives and constraints. This file is user-configurable. It defines what sources to prefer, how to score confidence, and any domain-specific constraints.


Topic Selection

Three paths to a topic:

A. Explicit topic (always respected)

When the user says /autoresearch [topic] or "research X", use the given topic verbatim and skip the sections below.

B. Boundary-first selection (agenda control, opt-in)

This is agenda control, not pure memory. DragonScale Memory.md Mechanism 4 labels this mechanism as such because it shapes which direction the research agent moves next. Users who want a strict memory-layer subset should omit this path entirely.

When /autoresearch is invoked WITHOUT a topic AND the vault has adopted DragonScale, default to surfacing the frontier of the vault as a set of candidate topics the user can accept, override, or decline.

Feature detection (shell):

if [ -x ./scripts/boundary-score.py ] && [ -d ./.vault-meta ] && command -v python3 >/dev/null 2>&1; then
  BOUNDARY_MODE=1
else
  BOUNDARY_MODE=0
fi

When BOUNDARY_MODE=1:

  1. Run ./scripts/boundary-score.py --json --top 5. Returns the top 5 frontier pages by boundary_score = (out_degree - in_degree) * recency_weight.
  2. Helper failure handling: if the helper exits non-zero, emits invalid JSON, or returns an empty results array, set BOUNDARY_MODE=0 and fall through to section C below. Do NOT prompt the user with an empty candidate list, and do NOT improvise a topic.
  3. Present the candidate list to the user: "Your top frontier pages are: [list]. Research which one? (1-5, or type a topic to override, or say 'cancel' to be asked normally.)"
  4. If the user picks 1-5, use the selected page's title as the topic.
  5. If the user types free text, use that.
  6. If the user cancels or does not choose, fall through to C.

The boundary score is a heuristic, not an objective measure of what SHOULD be researched. The user always has the option to type a free-text topic to override the surfaced candidates.

Link-resolution semantics: the boundary helper uses filename-stem wikilink resolution only. [[Foo]] is counted as an edge to Foo.md anywhere in the vault. Aliases declared via frontmatter aliases: are not parsed. Folder-qualified links (e.g. [[notes/Foo]]) are resolved by stem only. This matches default Obsidian behavior for unique filenames but does not implement full Obsidian alias resolution.

C. User-chosen (default when B is unavailable)

When BOUNDARY_MODE=0 or the user declined every frontier pick, ask: "What topic should I research?"


Research Loop

Input: topic (from Topic Selection, above)

Round 1. Broad search
1. Decompose topic into 3-5 distinct search angles
2. For each angle: run 2-3 WebSearch queries
3. For top 2-3 results per angle: WebFetch the page
4. Extract from each: key claims, entities, concepts, open questions

Round 2. Gap fill
5. Identify what's missing or contradicted from Round 1
6. Run targeted searches for each gap (max 5 queries)
7. Fetch top results for each gap

Round 3. Synthesis check (optional, if gaps remain)
8. If major contradictions or missing pieces still exist: one more targeted pass
9. Otherwise: proceed to filing

Max rounds: 3 (as set in program.md). Stop when depth is reached or max rounds hit.

Filing Results

After research is complete, create these pages:

wiki/sources/. One page per major reference found

  • Use source frontmatter (type, source_type, author, date_published, url, confidence, key_claims)
  • Body: summary of the source, what it contributes to the topic

wiki/concepts/. One page per significant concept extracted

  • Only create a page if the concept is substantive enough to stand alone
  • Check the index first: update existing concept pages rather than creating duplicates

wiki/entities/. One page per significant person, org, or product identified

  • Check the index first: update existing entity pages

wiki/synthesis/. One synthesis page titled "Research: [Topic]"

  • This is the master synthesis. Everything comes together here.
  • Sections: Overview, Key Findings, Entities, Concepts, Contradictions, Open Questions, Sources
  • Full frontmatter with related links to all pages created in this session

Synthesis Page Structure

---
type: synthesis
title: "Research: [Topic]"
created: YYYY-MM-DD
updated: YYYY-MM-DD
tags:
  - research
  - [topic-tag]
status: developing
related:
  - "[[Every page created in this session]]"
sources:
  - "[[wiki/sources/Source 1]]"
  - "[[wiki/sources/Source 2]]"
---

# Research: [Topic]

## Overview

[2-3 sentence summary of what was found]

## Key Findings

- Finding 1 (Source: [[Source Page]])
- Finding 2 (Source: [[Source Page]])
- ...

## Key Entities

- [[Entity Name]]: role/significance

## Key Concepts

- [[Concept Name]]: one-line definition

## Contradictions

- [[Source A]] says X. [[Source B]] says Y. [Brief note on which is more credible and why]

## Open Questions

- [Question that research didn't fully answer]
- [Gap that needs more sources]

## Sources

- [[Source 1]]: author, date
- [[Source 2]]: author, date

After Filing

  1. Update wiki/index.md. Add all new pages to the right sections
  2. Append to wiki/log.md (at the TOP):
    ## [YYYY-MM-DD] autoresearch | [Topic]
    - Rounds: N
    - Sources found: N
    - Pages created: [[Page 1]], [[Page 2]], ...
    - Synthesis: [[Research: Topic]]
    - Key finding: [one sentence]
    
  3. Update wiki/hot.md with the research summary

Report to User

After filing everything:

Research complete: [Topic]

Rounds: N | Searches: N | Pages created: N

Created:
  wiki/synthesis/Research: [Topic].md (synthesis)
  wiki/sources/[Source 1].md
  wiki/concepts/[Concept 1].md
  wiki/entities/[Entity 1].md

Key findings:
- [Finding 1]
- [Finding 2]
- [Finding 3]

Open questions filed: N

Constraints

Follow the limits in references/program.md:

  • Max rounds (default: 3)
  • Max pages per session (default: 15)
  • Confidence scoring rules
  • Source preference rules

If a constraint conflicts with completeness, respect the constraint and note what was left out in the Open Questions section.

What ships with it: 1 file

2.4 KB alongside SKILL.md

references/

Gives 0 of the 12 instructions most research analysis skills give in ~1.7k tokens

Counted across 1,213 of the 2,113 authors here whose files we hold, read 2026-09-06

  • Cite sources for every important claimin 47 of 1213, across 38 files
  • Separate facts from inferences and recommendationsin 21 of 1213, across 12 files
  • Write findings to a markdown filein 19 of 1213
  • Label every insight with a confidence levelin 18 of 1213, across 8 files
  • Read product marketing context before asking questionsin 18 of 1213, across 8 files
  • Rank themes by frequency and intensityin 16 of 1213, across 6 files
  • Establish research mode before proceedingin 16 of 1213, across 6 files
  • Segment survey responses by customer tier or tenurein 16 of 1213, across 6 files
  • Categorize support tickets before analyzingin 16 of 1213, across 6 files
  • Weight research sources from the last twelve monthsin 16 of 1213, across 6 files
  • Use at least five data points per segmentin 15 of 1213, across 5 files
  • Extract verbatim quotes for all research findingsin 15 of 1213, across 5 files

Said here and by no other author read

  • Run web searches for each search angle
  • Extract key claims and entities from fetched pages
  • Identify missing information or contradictions
  • Create source pages in the wiki
  • Create a master synthesis page for the topic

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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