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log-result

Log verified experimental results into docs/EXPERIMENTS.md and update related narratives.

Updated Jun 17, 2025
Search Tags:#documentation#narrative#research#verification#log#experiments
One-click install
npx skills add https://github.com/necatiincekara/Quanvolutional-Neural-Network --skill log-result
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: log-result
Source: https://github.com/necatiincekara/Quanvolutional-Neural-Network/tree/main/.agents/skills/log-result
Command: npx skills add https://github.com/necatiincekara/Quanvolutional-Neural-Network --skill log-result

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill ensures that experimental results are logged accurately and stale or incorrect claims are avoided by updating the study narrative only after verification.

Core Features & Use Cases

  • Read the latest experiment entries from docs/EXPERIMENTS.md.
  • Verify numbers against the strongest available sources (experiment JSON, checkpoint evaluation outputs, notebook results).
  • Propagate updates to related artifacts (paper/draft.md, README.md, CLAUDE.md) when narratives change.
  • Flag and supersede outdated results to maintain a consistent study narrative.

Quick Start

Update docs/EXPERIMENTS.md with the latest verified results from the strongest source.

Frequently Asked Questions about log-result

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

FAQPage Schema
How do I update experimental results in documentation after verification?▼

To update experimental results, verify new metrics against authoritative sources like experiment JSON or checkpoint evaluation outputs, then log them in docs/EXPERIMENTS.md and propagate updates to related artifacts such as paper/draft.md, README.md, and CLAUDE.md.

How do I keep study narratives consistent when experiment results change?▼

Keeping study narratives consistent requires propagating verified updates from docs/EXPERIMENTS.md to related artifacts like paper/draft.md, README.md, and CLAUDE.md, while explicitly marking superseded historical claims as outdated.

What sources should I verify experiment metrics against before logging?▼

Experiment metrics should be verified against the strongest available sources, specifically experiment JSON files, checkpoint evaluation outputs, and notebook results, ensuring logged data is accurate before updating the study narrative.

How do I supersede outdated research claims in markdown documentation?▼

Outdated research claims are superseded by marking historical results as outdated in related files such as paper/draft.md, README.md, and CLAUDE.md when verified updates are propagated from docs/EXPERIMENTS.md.

Can I log experimental results without checking checkpoint evaluation outputs?▼

Logging experimental results without checking checkpoint evaluation outputs risks stale or incorrect claims, so verification against the strongest available sources is enforced before updates are applied to docs/EXPERIMENTS.md.

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