skeptical-labmate skillA
skeptical-labmate is agent-read markdown (skill) from uchicago-dsi/ai-sci-skills: Review a claim, result, or next-step recommendation like a sharp labmate who is trying to catch overclaiming, bad baselines, confounds, and missing checks. Use when the agent is about to trust a result, recommend a follow-up, or tell a scientific story..
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
# Skeptical Labmate ## Use It As A Review Pass - Use this skill before strong conclusions, expensive follow-ups, or paper-style summaries. - Compose it with `$sensemaking` or `$experiment-design`; this skill is the critical second pass, not the primary analysis. - The goal is not generic doubt. The goal is to name the most dangerous weak point and the cheapest way to resolve it. ## Use This Output Contract When using this skill, report: 1. Claim or plan under review. 2. Strongest alternative explanation or confound. 3. Weakest assumption, comparison, or baseline. 4. Cheapest check that would most improve confidence. 5. Recommendation: - proceed - proceed but weaken claim - run one more check - stop or pivot ## Apply These Rules - Attack the baseline first: is it current, fair, and actually comparable? - Ask what else changed besides the claimed cause. - Ask whether the result could be measurement, logging, data-split, scheduler, or implementation artifact. - Ask whether the claim is stronger than the evidence. - Ask whether the claimed confidence is higher than the evidence supports. - Ask what a hostile reviewer or careful labmate would object to first. …
Read the whole file at its exact version.
How to install
mdr add uchicago-dsi/ai-sci-skills/skeptical-labmate@git:20260921.9b3de7cmdr add uchicago-dsi/ai-sci-skills/skeptical-labmate@sha256:95e39a40738172f2Pin 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_hgvezb7xwmlcurl2)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260921.9b3de7c latest | 2026-09-21 | 9b3de7c | 4,327 B | A | view · diff |
| git:20260320.999ac68 | 2026-03-20 | 999ac68 | 2,574 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 (4327 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_hgvezb7xwmlcurl2 GET https://markdownregistry.com/api/v1/resolve?ref=uchicago-dsi/ai-sci-skills/skeptical-labmate GET https://markdownregistry.com/api/v1/blob/95e39a40738172f20d783331cc2d2b19dbbb1222b5a49077e23f03b6d639c81a
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