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ccam80
ccam80COMMUNITY
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log-session

Synthesizes session checkpoint notes and conversation context into an auditable authorship log entry for approval.

6|Updated Jan 25, 2026
Search Tags:#documentation#audit-trail#AI-assisted-writing#thesis-writing#authorship-log#session-checkpoints
One-click install
npx skills add https://github.com/ccam80/thesis-writer --skill log-session-ccam80
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: log-session
Source: https://github.com/ccam80/thesis-writer/tree/main/skills/log-session
Command: npx skills add https://github.com/ccam80/thesis-writer --skill log-session-ccam80

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill creates an auditable, author-approved record of AI-assisted thesis sessions by synthesizing checkpoint notes and the current conversation context into a draft entry, then presenting it for author review and appending to the project's authorship_log.md after approval.

Core Features & Use Cases

  • Structured session logs: Generates a reproducible, defensible record of decisions, revisions, and agent contributions tied to a specific writing session.
  • Approval-driven workflow: Presents a draft for author review before integration into the log to ensure accuracy and accountability.
  • Context consolidation: Aggregates checkpoint drafts (authorship_log_draft.md) and conversation context, maintaining a clear narrative of the development process.

Quick Start

After a writing session, run the log-session skill to generate a draft entry and prompt for author approval. The skill reads existing logs, includes latest checkpoints, and prepares the update for the author's review.

Frequently Asked Questions about log-session

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

FAQPage Schema
How do I create an auditable authorship log for AI-assisted thesis writing?▼

An authorship log tracks AI-assisted thesis writing by recording session checkpoints and conversation context. The log-session skill synthesizes these inputs into a structured, defensible entry for author approval before appending it to authorship_log.md.

What is the approval workflow for appending session checkpoints to documentation?▼

The approval workflow requires generating a draft entry from conversation context and mid-session checkpoints, presenting it for author review, and appending it to authorship_log.md only after explicit author approval.

Do I need a local draft file before generating an audit trail for thesis revisions?▼

Yes, you need a local authorship_log_draft.md file to store mid-session checkpoints. The log-session skill reads this draft file alongside existing logs and conversation context to consolidate the session audit trail.

Can I use this session logging skill for planning sessions or only for writing?▼

You can use this session logging skill for planning, writing, and revision sessions. It synthesizes conversation context from any of these session types to produce a reproducible record of decisions and agent contributions.

What is the best way to maintain an audit trail of AI contributions in academic documentation?▼

The best way to maintain an audit trail of AI contributions is to apply a logging skill at the end of each session that consolidates checkpoint drafts and context into an author-approved, structured entry appended to a central log file.

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