Session Logger
CheckedThis Session Logger tracks user interactions within a session for analysis and debugging, improving application understanding & troubleshooting.
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 zhaono1/agent-playbook --skill session-logger -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
charon-fan
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 charon-fan/agent-playbook at be7a9d7d17.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- be7a9d7d17
- Manifest
- skills/session-logger/SKILL.md
- Scanned
- 2 files, 91 lines
About this skill
The session-logger skill enables AI agents to automatically record and track user interactions within a specific session. It captures detailed logs of activities, timestamps, and context to provide a complete history of the agent's performance during that interaction window.
When to use it
- Audit complex multi-step workflows to verify every action taken by the agent.
- Debug issues by reviewing exactly what occurred during a failed task execution.
- Generate compliance reports requiring proof of specific user interactions or data access.
- Analyze session duration and activity patterns to optimize future agent responses.
Key capabilities
- Automatic recording of all actions taken within the current session context.
- Timestamped logging of events for precise timeline reconstruction.
- Preservation of interaction history for post-session analysis.
Example prompts
- "Start a new session and log every step you take while setting up the project environment."
- "Before we begin troubleshooting, please enable session logging so I can review your actions later."
- "Log this entire debugging session including all error messages and commands executed."
Tips & gotchas
Ensure the agent has permission to write logs before initiating complex tasks that require auditing. Session data is typically ephemeral; retrieve or export logs immediately after a task concludes if long-term storage isn't configured.