analyze-results SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
analyze-results from autoconference/autoconference-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add autoconference/autoconference-skill/analyze-results@git:20260924.6751570Pins git:20260924.6751570 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- autoconference/autoconference-skill
- Path
skills/aris/analyze-results/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260924.6751570, committed Sep 24, 2026
- Size
- 1,660 bytes
- Repository stars
- 13
- License
- Apache-2.0
Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Analyze Experiment Results Analyze: $ARGUMENTS ## Workflow ### Step 1: Locate Results Find all relevant JSON/CSV result files: - Check `figures/`, `results/`, or project-specific output directories - Parse JSON results into structured data ### Step 2: Build Comparison Table Organize results by: - **Independent variables**: model type, hyperparameters, data config - **Dependent variables**: primary metric (e.g., perplexity, accuracy, loss), secondary metrics - **Delta vs baseline**: always compute relative improvement ### Step 3: Statistical Analysis - If multiple seeds: report mean +/- std, check reproducibility - If sweeping a parameter: identify trends (monotonic, U-shaped, plateau) - Flag outliers or suspicious results ### Step 4: Generate Insights For each finding, structure as: 1. **Observation**: what the data shows (with numbers) 2. **Interpretation**: why this might be happening 3. **Implication**: what this means for the research question 4. **Next step**: what experiment would test the interpretation ### Step 5: Update Documentation If findings are significant: - Propose updates to project notes or experiment reports …
Read the whole file at its exact version.
How to install
mdr add autoconference/autoconference-skill/analyze-results@sha256:2b97b8ae1a279ac8The line at the top of this page pins the label git:20260924.6751570, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_22cxluocwcsh4kfj)
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Versions
The registry has recorded 1 version of this file, committed on Sep 24, 2026.
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 (1660 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
autoconference/autoconference-skill · 13 stars · license Apache-2.0 · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_22cxluocwcsh4kfj GET https://markdownregistry.com/api/v1/resolve?ref=autoconference/autoconference-skill/analyze-results GET https://markdownregistry.com/api/v1/blob/2b97b8ae1a279ac8a7db14e7d7bea67934c88352d55c95e20fcfb681a8640930
Your AI assistant 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.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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