Context Audit
CheckedAnalyzes conversation history to identify missing context & suggests prompts for improved AI responses.
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 hjewkes/agent-skills --skill context-audit -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
hjewkes
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 hjewkes/agent-skills at f3c9318438.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f3c9318438
- Manifest
- skills/context-audit/SKILL.md
- Scanned
- 2 files, 244 lines
About this skill
What it does
The hjewkes-context-audit skill provides a mechanism to analyze and evaluate the context being used by an AI agent. It helps identify potential issues like excessive length, irrelevant information, or outdated data impacting performance. This allows for optimization of prompts and improved agent accuracy.
When to use it
- Debugging unexpected behavior: If an agent is producing inconsistent or incorrect results, audit its context to see if extraneous information is interfering.
- Optimizing prompt efficiency: Determine if the current context length is unnecessarily long, impacting speed and cost.
- Maintaining data freshness: Regularly check the context for outdated information that could lead to inaccurate responses.
- Improving agent reliability: Ensure the context consistently provides relevant information for better decision-making.
Key capabilities
- Context analysis
- Identification of irrelevant information
- Evaluation of context length
- Detection of outdated data
Example prompts
- "Audit the current context being used by the agent."
- "Show me the longest sections in the agent's context."
- "Identify any data points older than one week within the agent’s context."
Tips & gotchas
The skill requires access to the agent's active context. Ensure appropriate permissions are granted for accurate analysis and reporting.