Agent skill

Autoresearch

by jmstar85 in jmstar85/oh-my-githubcopilot

Stateful research improvement loop with evaluator gates and decision logs.

MITAuto-check passedAgent Workflows

Install Autoresearch

skills CLI
$ npx skills add jmstar85/oh-my-githubcopilot --skill autoresearch -a claude-code

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

GitHub CLI
$ gh skill install jmstar85/oh-my-githubcopilot autoresearch --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/jmstar85/oh-my-githubcopilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/autoresearch .claude/skills/autoresearch && 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
autoresearch
GitHub stars
159
Token cost
~261 tokens
SKILL.md length
106 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

Stateful research improvement loop with evaluator gates and decision logs.

  • Works in 6 steps: Define the research mission, success… → Break the mission into hypotheses or… → Gather evidence from local docs, code,… → …
  • Tasks that involve Autonomous loops
  • SKILL.md covers Workflow, Evaluator Gates and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Autoresearch is an agent skill from jmstar85/oh-my-githubcopilot. Stateful research improvement loop with evaluator gates and decision logs. Activate when: autoresearch, research loop, improve research, evaluate research.

Its SKILL.md is about 260 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 Agent Workflows, covering Autonomous loops and Architecture decision records. The repository describes itself as: Ultimate Harness Automation for Github Copilot on VS Code. It provides 28+ specialized agents, 30+ reusable skills, hooks, guardrails, and etc. The licence is MIT.

When your agent uses it

  • Tasks that involve Autonomous loops
  • Tasks that involve Architecture decision records

Example prompts

  • “/autoresearch”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Define the research mission, success criteria, constraints, and stop conditions.
  2. Break the mission into hypotheses or research questions.
  3. Gather evidence from local docs, code, and permitted web sources.
  4. Evaluate findings against the success criteria.
  5. Iterate only while the next pass is likely to improve the answer meaningfully.
  6. Record final decisions, rejected alternatives, and confidence.

What it can do on your machine

Read from SKILL.md and the folder at commit 12b2c29. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Autoresearch loads about 261 tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 106 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~261

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 jmstar85/oh-my-githubcopilot at commit 12b2c29, republished under its MIT licence (© jmstar85). 106 words, ~261 tokens.

Download SKILL.mdSave it as .claude/skills/autoresearch/SKILL.md (or your agent's skills folder).
name
autoresearch
description
Stateful research improvement loop with evaluator gates and decision logs. Activate when: autoresearch, research loop, improve research, evaluate research.
argument-hint
<research mission>

Autoresearch

OMG adapted scope: This workflow is driven by visible checkpoints and evaluator gates, not by an external OMC runtime loop.

Workflow

  1. Define the research mission, success criteria, constraints, and stop conditions.
  2. Break the mission into hypotheses or research questions.
  3. Gather evidence from local docs, code, and permitted web sources.
  4. Evaluate findings against the success criteria.
  5. Iterate only while the next pass is likely to improve the answer meaningfully.
  6. Record final decisions, rejected alternatives, and confidence.

Evaluator Gates

  • Evidence sufficiency
  • Contradiction check
  • Confidence level
  • Stop/continue decision

Rules

  • Prefer primary sources.
  • Label uncertainty clearly.
  • Do not loop indefinitely without measurable improvement.

© jmstar85, MIT. 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 .github/skills/autoresearch of jmstar85/oh-my-githubcopilot.

Open the folder on GitHubat commit 12b2c29

Compare with similar skills

Autoresearch 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.

Autoresearch compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Autoresearch this skilljmstar85/oh-my-githubcopilot159—~261Automated safety check: PassMIT
AutoresearchYeachan-Heo/oh-my-claudecode40k—~894Automated safety check: PassMIT
Show Me Your Work Decision Logcursor/plugins11k8 repos~1.6kAutomated safety check: PassNone
Autoresearch Iteration Loopuditgoenka/autoresearch6.5k1 repos~2kAutomated safety check: PassMIT
Install Loop Engineeringcobusgreyling/loop-engineering11k1 repos~648Automated safety check: PassMIT
LoopyForward-Future/loopy3.2k—~3.9kAutomated safety check: PassMIT

Similar skills

  • Autoresearch

    Yeachan-Heo/oh-my-claudecode

    Stateful single-mission improvement loop with strict evaluator contract, markdown decision logs, and max-runtime stop behavior

    40k GitHub stars~894 tokensUpdated 2 days ago
    Agent WorkflowsAuto-check passed
  • Official

    Keeps a TSV decision log for long or unattended agent runs, one row per decision with what, why, evidence and result, so a reviewer can check the work later.

    11k GitHub starsUsed in 8 repos~1.6k tokens
    Agent WorkflowsAuto-check passed
  • Autoresearch Iteration Loop

    uditgoenka/autoresearch

    Runs an autonomous modify, verify, keep-or-discard loop against any metric, with subcommands for planning, debugging, fixing, security audits, shipping and more.

    6.5k GitHub starsUsed in 1 repo~2k tokens
    Agent WorkflowsAuto-check passed
  • Install Loop Engineering

    cobusgreyling/loop-engineering

    Installs Loop Engineering into a project through the single @cobusgreyling/loop CLI, scaffolding a report-only loop and a readiness score.

    11k GitHub starsUsed in 1 repo~648 tokens
    Agent WorkflowsAuto-check passed
  • Loopy

    Forward-Future/loopy

    Discover, find, compare, audit, repair, adapt, craft, run, debrief, save, and prepare repeatable AI-agent loops for publication.

    3.2k GitHub stars~3.9k tokensUpdated 29 days ago
    Agent WorkflowsAuto-check passed
  • Pushes an agent to exhaust every option, investigate before asking and take initiative beyond the literal request, instead of giving up or waiting passively.

    20k GitHub starsUsed in 2 repos~6.9k tokens
    Agent WorkflowsAuto-check passed

More from jmstar85/oh-my-githubcopilot

All 13 skills in this repo
  • Ask

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    Route multi-perspective questions through OMG's existing CCG-style analysis workflow.

    159 GitHub stars~242 tokensUpdated 4 mo ago
    Auto-check passed
  • Configure Notifications

    jmstar85/oh-my-githubcopilot

    Guide configuration of notification integrations and status alerts.

    159 GitHub stars~268 tokensUpdated 4 mo ago
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  • Deepinit

    jmstar85/oh-my-githubcopilot

    Generate or refresh hierarchical repository guidance files for agents.

    159 GitHub stars~254 tokensUpdated 4 mo ago
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  • External Context

    jmstar85/oh-my-githubcopilot

    Gather external documentation context through focused, bounded research passes.

    159 GitHub stars~249 tokensUpdated 4 mo ago
    Auto-check passed
  • Hud

    jmstar85/oh-my-githubcopilot

    Guide use of OMG's VS Code StatusBar and TreeView workflow status surfaces.

    159 GitHub stars~239 tokensUpdated 4 mo ago
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  • Release

    jmstar85/oh-my-githubcopilot

    Analyze repository release rules and guide safe versioning, changelog, packaging, and publish steps.

    159 GitHub stars~256 tokensUpdated 4 mo ago
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Categories

Questions about Autoresearch

What does Autoresearch do?

Stateful research improvement loop with evaluator gates and decision logs. Autoresearch is an agent skill from jmstar85/oh-my-githubcopilot. Stateful research improvement loop with evaluator gates and decision logs.

When should I use Autoresearch?

Autoresearch fits situations like: tasks that involve Autonomous loops; tasks that involve Architecture decision records.

How do I install Autoresearch in Claude Code?

Run `npx skills add jmstar85/oh-my-githubcopilot --skill autoresearch -a claude-code`. Or copy the skill folder (.github/skills/autoresearch in jmstar85/oh-my-githubcopilot) into .claude/skills/autoresearch in your project. Claude Code loads it when a task matches its description.

How do I install Autoresearch in Codex?

Run `npx skills add jmstar85/oh-my-githubcopilot --skill autoresearch -a codex`. Or copy the skill folder (.github/skills/autoresearch in jmstar85/oh-my-githubcopilot) into .agents/skills/autoresearch in your project. Codex loads it when a task matches its description.

Can I use Autoresearch 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 jmstar85/oh-my-githubcopilot --skill autoresearch -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/autoresearch, .gemini/skills/autoresearch, .github/skills/autoresearch and .opencode/skills/autoresearch in your project.

What does Autoresearch need to run?

SKILL.md names no scripts, command-line tools or credentials: Autoresearch is instructions for the agent only.

Does Autoresearch 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 Autoresearch 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 Autoresearch use?

Autoresearch is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Autoresearch use?

About 261 tokens (SKILL.md is roughly 1k 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 Autoresearch?

Skills that share tags, products or a category with Autoresearch: Autoresearch (Yeachan-Heo/oh-my-claudecode, 40k stars), Show Me Your Work Decision Log (cursor/plugins, 11k stars), Autoresearch Iteration Loop (uditgoenka/autoresearch, 6.5k stars) and Install Loop Engineering (cobusgreyling/loop-engineering, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Autoresearch?

jmstar85 (a GitHub user) maintains it in jmstar85/oh-my-githubcopilot, which has 159 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on May 20, 2026.

Source: jmstar85/oh-my-githubcopilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.