Read Working Memory
CheckedThis skill analyzes text to identify concepts and relationships held in short-term "working memory," aiding comprehension & recall.
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 nowledge-co/community --skill read-working-memory --full-depth -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
nowledge-co
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 nowledge-co/community at 4013ecf7b2.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 4013ecf7b2
- Scanned
- 3 files, 218 lines
- Copies in repo
- 3 — all of them scanned
About this skill
What it does
This skill allows an AI agent to access and inspect its own internal working memory. It provides a mechanism for debugging, understanding decision-making processes, and potentially correcting errors by examining intermediate states. The agent can retrieve specific data stored in its memory or request a summary of the information currently held.
When to use it
- Debugging complex reasoning: If an AI agent is producing unexpected results, this skill allows you to examine the steps and data it used to arrive at that conclusion.
- Understanding decision-making: Gain insight into why an agent made a particular choice by reviewing its working memory contents.
- Identifying knowledge gaps: Inspect what information the agent is not retaining, which can highlight areas where its knowledge base needs improvement.
- Improving prompt engineering: Analyze the data stored in working memory to refine prompts and ensure relevant context is being passed to the AI.
Key capabilities
- Access internal working memory contents.
- Retrieve specific data from memory.
- Request a summary of current memory state.
- Debug agent reasoning processes.
Example prompts
- "Show me what's in your working memory right now."
- "What was the last fact you stored about [topic]?"
- "Can you summarize the information you used to decide [action]?"
Tips & gotchas
This skill requires a significant level of internal agent architecture. It is not compatible with all AI agents and may expose sensitive or intermediate data.