bounded-auto-loop skillA
bounded-auto-loop is agent-read markdown (skill) from uchicago-dsi/ai-sci-skills: Run a short, bounded autonomous loop of debugging or experiments before checking back in. Use when the user wants the agent to iterate for a few cycles, keep going autonomously, or stop only after a fixed budget or explicit stop rule is met..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 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. …
Read the whole file at its exact version.
How to install
mdr add uchicago-dsi/ai-sci-skills/bounded-auto-loop@git:20260728.3acf544mdr add uchicago-dsi/ai-sci-skills/bounded-auto-loop@sha256:b28d7dabac9a3367Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_ghtwnbn6mf6bp7az)
1 badge views in 30 days
Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260728.3acf544 latest | 2026-07-28 | 3acf544 | 3,237 B | A | view · diff |
| git:20260320.999ac68 | 2026-03-20 | 999ac68 | 2,510 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3237 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
uchicago-dsi/ai-sci-skills · 20 stars · license MIT · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ghtwnbn6mf6bp7az GET https://markdownregistry.com/api/v1/resolve?ref=uchicago-dsi/ai-sci-skills/bounded-auto-loop GET https://markdownregistry.com/api/v1/blob/b28d7dabac9a3367a17754c6f96e2822bfb146c148a798f22c1fcbb4c228c8d2
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.