bounded-auto-loop

bounded-auto-loop is a skill for Codex from uchicago-dsi/ai-sci-skills. It costs 53 tokens per session (681 once invoked), scanned A, original, MIT.

A short, controlled loop for debugging or experiments, where the agent makes a small change, checks the result, and decides whether to continue.

In plain words
What is it for?
Use it to test competing explanations, change code or configuration one variable at a time, run the nearest useful check, and stop when the evidence answers the question.
Why use it?
It allows several autonomous attempts without letting the work expand indefinitely. A fixed iteration budget and stopping rule keep the process focused.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to test competing explanations, change code or configuration one variable at a time, run the nearest useful check, and stop when the evidence answers the question.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/uchicago-dsi/ai-sci-skills/bounded-auto-loop
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.

Any agent
npx skills add uchicago-dsi/ai-sci-skills --skill bounded-auto-loop
Clone the repo
git clone --depth 1 https://github.com/uchicago-dsi/ai-sci-skills

Made for: 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 bounded-auto-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/uchicago-dsi/ai-sci-skills/bounded-auto-loop.svg)](https://agentmods.dev/skills/uchicago-dsi/ai-sci-skills/bounded-auto-loop)
Your own site
<a href="https://agentmods.dev/skills/uchicago-dsi/ai-sci-skills/bounded-auto-loop"><img src="https://agentmods.dev/badge/skills/uchicago-dsi/ai-sci-skills/bounded-auto-loop.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 681 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00053 $0.00681
Opus 5 $0.00026 $0.00341
Sonnet 5 $0.00011 $0.00136
Haiku 4.5 $0.00005 $0.00068

Measured 8d ago against content hash b28d7dabac9a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

bounded-auto-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 8d 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/bounded-auto-loop/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bounded Auto Loop

Use this skill when the user wants a few autonomous iterations without an open-ended research spiral.

Loop Contract

Before starting, lock these down:

  1. Decision to change.
  2. Current control or baseline.
  3. Live hypotheses.
  4. Iteration budget, usually 2-3 iterations.
  5. Stop rule.
  6. Return condition.

If any of these are missing, infer the narrowest reasonable version and state it briefly.

Design The Loop

  • Choose the smallest checks that can change the decision.
  • Freeze everything not under test.
  • Prefer one-variable changes over sweeps.
  • Stay on the cheapest discriminative surface first.
  • When a failure mode is easiest to see, prefer one decisive visual check over a larger batch of scalar metrics.
  • Do not widen the search space mid-loop unless the current loop is falsified.

Run One Iteration At A Time

For each iteration:

  1. State the root-cause or causal hypothesis.
  2. Make the minimal code or config change.
  3. Run the nearest useful validation.
  4. Interpret the result before launching the next step.
  5. Update the plan or stop.

Do not queue multiple speculative branches at once unless they are independent and the stop rule still stays sharp.

Preserve The Active Window

  • Once a user starts a time- or iteration-bounded loop, keep the turn open until the budget expires, the declared stop rule is met, a genuine user-only blocker appears, or the user explicitly cancels or replaces the loop.
  • Treat later steering, priority changes, and status questions as additions to the active loop unless the user clearly says they replace it. Answer them in commentary and continue with the remaining budget.
  • Do not send a final response merely because one subrequest finishes, a worker reaches a decision point, or an intermediate result is ready.
  • After every interruption or new message, recompute the remaining time or iterations and resume the same loop.

Stop Aggressively

Stop early if:

  • the decision is already changed
  • the new branch is materially better than control
  • all plausible local variants fail in the same regime
  • the next move is a scientific or product choice rather than an engineering extension
  • the remaining improvements are too small to justify another cycle

Read the full file on GitHub · 92 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. 8d ago First seen · 92 lines · 53 tokens per session scan A b28d7dabac9a

Subscribe to this mod's changes

bounded-auto-loop is a skill published in the GitHub repository uchicago-dsi/ai-sci-skills (16 stars, last pushed 2d ago), licensed MIT. It adds 53 tokens to every session and 681 once invoked, about $0.0003 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 2026-08-31.

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