Feedback Application
CheckedThis skill automatically applies suggested feedback from Qodex to relevant code, streamlining remediation and ensuring consistent best practices.
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 qodex-ai/ai-agent-skills --skill feedback-application -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
qodex-ai
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 qodex-ai/ai-agent-skills at 6ea9f00885.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6ea9f00885
- Scanned
- 1 file, 135 lines
About this skill
What it does
The feedback-application skill allows AI agents to apply user feedback directly. It facilitates iterative improvement of agent behavior and responses based on explicit input, enabling more personalized and effective interactions. This includes understanding and incorporating suggestions for changes in tone, accuracy, or content.
When to use it
- Refining Agent Responses: After an initial interaction, a user provides specific feedback ("That answer was too technical, please simplify").
- Improving Tone & Style: A user requests a change in the agent's communication style ("Can you be more friendly and conversational?").
- Correcting Factual Errors: A user points out an inaccuracy in the agent’s response (“The date you provided is incorrect; it should be…”).
- Adjusting Content Focus: A user guides the agent to a different aspect of a topic ("Instead of focusing on X, please discuss Y").
Key capabilities
- Feedback Incorporation: Understands and integrates user feedback.
- Iterative Improvement: Enables adjustments to agent behavior over time.
- Response Modification: Allows for direct changes to previous responses.
- Style Adjustment: Adapts the agent’s tone and communication style.
Example prompts
- "The last response was helpful, but could you explain it in simpler terms?"
- "Please rewrite your previous answer to be more concise."
- “That information is outdated; can you update it with [new information]?”
Tips & gotchas
To ensure accurate feedback application, provide specific and actionable instructions. The agent’s ability to understand complex or ambiguous feedback may vary.