Journal
CheckedThis "Journal" skill allows you to record and revisit your AI interactions for reflection and analysis, boosting understanding & iterative improvement.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add kazukinagata/shinkoku --skill journal -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
kazukinagata
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned kazukinagata/shinkoku at 607574d5e5.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 607574d5e5
- Manifest
- skills/journal/SKILL.md
- Scanned
- 3 files, 610 lines
About this skill
What it does
The journal skill allows an AI agent to maintain a persistent, searchable record of its activities and thoughts. It can store information like tasks completed, decisions made, and observations encountered during interactions. This provides a valuable memory for the agent and enables users to review past actions and understand reasoning processes.
When to use it
- Debugging complex workflows: Review the journal to trace an AI's steps when encountering errors or unexpected behavior.
- Long-term project management: Track progress, decisions, and roadblocks in ongoing tasks over extended periods.
- Personalized learning & adaptation: Allow the agent to learn from past experiences by analyzing its stored journal entries.
- Auditing AI actions: Maintain a record of an AI's activities for compliance or accountability purposes.
Key capabilities
- Persistent storage of agent activity logs
- Searchable journal entries
- Record tasks completed
- Record decisions made
- Record observations encountered
Example prompts
- "Show me my journal entries from yesterday."
- "What was the last decision I made regarding project X?"
- "Summarize all observations related to customer feedback."
Tips & gotchas
The effectiveness of the journal skill depends on clear and consistent prompting. Ensure you instruct the agent to log relevant information for optimal results.