skills.rest
opensquilla
opensquillaOFFICIAL
Explore all skills by this author →
WebsiteGitHub

paper-experiment-stub

Generates a deterministic 20-row results CSV seeded from a topic hash.

6.8k|540|Updated May 6, 2026
Search Tags:#Python#deterministic#demo#synthetic data#CSV#SHA-256#experiment stub
One-click install
npx skills add https://github.com/opensquilla/opensquilla --skill paper-experiment-stub
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paper-experiment-stub
Source: https://github.com/opensquilla/opensquilla/tree/main/src/opensquilla/skills/bundled/paper-experiment-stub
Command: npx skills add https://github.com/opensquilla/opensquilla --skill paper-experiment-stub

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Demo and testing workflows for the meta-paper-write pipeline need a repeatable experiment output without running real experiments, and this Skill produces a stable placeholder dataset on demand.

Core Features & Use Cases

  • Deterministic CSV Generation: Creates a 20-row results.csv with columns x, y_baseline, and y_ours seeded from the SHA-256 hash of the topic phrase.
  • Reproducible Re-runs: The same topic always yields identical rows, making it suitable for testing downstream paper-writing or plotting steps.
  • Use Case: While developing an automated paper-writing workflow, invoke this stub with a topic like "graph routing" to instantly get a synthetic baseline-versus-ours results table for formatting and rendering tests.

Quick Start

Ask the agent to run the stub experiment for your topic, for example: generate stub experiment results for the topic "agent routing".

Frequently Asked Questions about paper-experiment-stub

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate deterministic test data in Python?▼

Seed Python's random.Random with a stable value derived from your input, such as the first 8 bytes of its SHA-256 hash. This stub uses that approach so the same topic string always produces the same 20-row CSV.

What does the generated results.csv contain?▼

The CSV has a header row x, y_baseline, y_ours followed by 20 data rows. Baseline values grow slightly with x, and y_ours adds a random improvement of 0.05 to 0.15 capped at 0.99.

Does this stub require any external Python packages?▼

No, it uses only the Python standard library: argparse, csv, hashlib, random, and pathlib. Any Python 3 interpreter can run it without installing dependencies.

Can I use this stub for real research results?▼

No, the output is explicitly demo-only synthetic data and not real science. It exists to test the meta-paper-write pipeline's formatting and rendering steps, not to produce valid experimental findings.

Why do repeated runs with the same topic give identical output?▼

The random generator is seeded from the SHA-256 digest of the topic string rather than system entropy. Identical input therefore always produces the identical sequence of random values.

Related Skills

Explore More Education & Research Skills→
lhy0718lhy0718
5

paper-scale-research-loop

Evaluate AutoLabOS experiments against paper-scale evidence criteria for manuscript readiness.

Community
Advanced
zhuyingqinzhuyingqin
1

paper-figure

Generate publication-quality plots, tables, and LaTeX snippets from experiment data.

Community
Intermediate
box755box755

academic-paper

Orchestrate a 12-agent workflow to draft academic papers with citation checks and peer review.

Community
Advanced
OpenMOSSOpenMOSS
410

sglang-auto-benchmark

Automate SGLang benchmark sweeps with dataset preparation and CSV export.

Official
Advanced