autonomous-research-loop

autonomous-research-loop is a skill for Claude Code, Codex from waltstephen/ArgusBot. It costs 79 tokens per session (1,677 once invoked), scanned A, original, MIT.

A working method for letting Codex carry out repository changes, debugging, or research over multiple steps until the stated goal is finished. It includes rules for Git, tests, runtime checks, and keeping notes between sessions.

In plain words
What is it for?
Use it to initialize and synchronize a repository, implement and debug changes, run smoke checks and tests, commit meaningful fixes, optionally push them, and record progress for later sessions.
Why use it?
It reduces the risk of stopping with partial work, untested changes, unsaved commits, or an unclear handoff.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/waltstephen/argusbot/autonomous-research-loop
Any agent
npx skills add waltstephen/ArgusBot --skill autonomous-research-loop
Clone the repo
git clone --depth 1 https://github.com/waltstephen/ArgusBot

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for autonomous-research-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/waltstephen/argusbot/autonomous-research-loop.svg)](https://agentmods.dev/skills/waltstephen/argusbot/autonomous-research-loop)
Your own site
<a href="https://agentmods.dev/skills/waltstephen/argusbot/autonomous-research-loop"><img src="https://agentmods.dev/badge/skills/waltstephen/argusbot/autonomous-research-loop.svg" alt="Measured on agentmods" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,677 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00079 $0.01677
Opus 5 $0.00039 $0.00839
Sonnet 5 $0.00016 $0.00335
Haiku 4.5 $0.00008 $0.00168

Measured 4d ago against content hash 7a1d9839fbe8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

autonomous-research-loop scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/autonomous-research-loop/SKILL.md · 232 lines

How it starts

The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Autonomous Research Loop

Overview

Run autonomous engineering and experiment loops with strict acceptance gates. Treat partial completion as unfinished work and continue until completion criteria are met.

Operating Contract

Apply these rules for every run:

  1. Initialize git context at start.
  2. Keep repository synchronized if remote exists.
  3. Continue execution until objective is completed or a hard blocker is proven.
  4. Validate behavior with runnable checks, not only static edits.
  5. Commit every meaningful fix.
  6. Push when remote is configured and credentials allow push.
  7. Treat tests as hard completion gates, not optional checks.
  8. In YOLO mode (--dangerously-bypass-approvals-and-sandbox), assume full execution power and apply extra caution before any destructive command.
  9. Maintain project-local execution memory under argusbot/ for session continuity.

Step 0: Bootstrap Git Safely

Execute at task start:

git init

Then detect repo and remote status:

git rev-parse --is-inside-work-tree
git remote -v

If a remote and tracked branch exist, try to sync before edits:

git pull --rebase --autostash

If pull fails, continue local work and record reason in status updates.

Step 0.5: Create Local Execution Memory

At project root, create and maintain an argusbot/ directory.

Required files:

  1. argusbot/current-session.md
  2. argusbot/todo.md
  3. argusbot/todo_session.md

Update them at start and after every meaningful loop iteration.

argusbot/current-session.md must contain:

  1. Current objective
  2. What was completed in this session
  3. Latest commands run
  4. Latest validation result
  5. Latest commit hash
  6. Current blockers or risks

argusbot/todo.md must contain:

  1. Remaining work items
  2. Next highest-priority action
  3. Any deferred investigation

argusbot/todo_session.md must contain:

  1. Session-specific objective interpretation
  2. Completed items in this session
  3. Remaining items for this session
  4. Latest operator injects that materially changed scope
  5. What should be checked first in the next session

Read the full file on GitHub · 232 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 232 lines · 79 tokens per session scan A 7a1d9839fbe8

Subscribe to this mod's changes

autonomous-research-loop is a skill published in the GitHub repository waltstephen/ArgusBot (316 stars, last pushed 4mo ago), licensed MIT. It adds 79 tokens to every session and 1,677 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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