feedback-loops SKILL.md skillA
feedback-loops from jnpiyush/agentx is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jnpiyush/agentx/feedback-loops@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jnpiyush/agentx
- Path
.github/skills/ai-systems/feedback-loops/SKILL.md- Versions recorded
- 4
- Latest version
- v1.0.0, committed Sep 15, 2026
- First version recorded
- Mar 1, 2026
- Size
- 13,035 bytes
- Repository stars
- 19
- License
- Apache-2.0
Design and implement feedback loops for continuous AI/ML improvement. Use when building RLHF/RLAIF pipelines, user feedback collection systems, reward modeling, iterative model refinement workflows, or online learning strategies.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Feedback Loops > **Purpose**: Build systems that continuously improve AI/ML models through structured human and automated feedback mechanisms. --- ## When to Use This Skill - Collecting and integrating user feedback into model improvement - Implementing RLHF (Reinforcement Learning from Human Feedback) pipelines - Designing reward models for preference-based training - Building automated feedback systems (RLAIF - AI feedback) - Creating annotation pipelines for training data refinement - Establishing continuous improvement cycles for production AI systems ## Prerequisites - Deployed AI system with feedback collection capability - Storage for feedback data (structured database) - Annotation pipeline or LLM-as-judge for automated feedback - Retraining pipeline (connects to Model Fine-Tuning skill) ## Decision Tree ``` Setting up feedback? +- What type of feedback? | +- User signals (thumbs up/down, ratings)? | -> Implicit feedback collection | +- User corrections (edited responses)? | -> Explicit feedback with preference pairs | +- Expert annotations (labeled data)? | -> Annotation pipeline | +- Automated (LLM-as-judge)? | -> RLAIF pipeline …
Read the whole file at its exact version.
How to install
mdr add jnpiyush/agentx/feedback-loops@sha256:6688a4671e0ea608The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_cgs6agmwwhtvjkjc)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Mar 1, 2026 and Sep 15, 2026, about one every 66 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-09-15 | f17c505 | 13,035 B | A | view · diff |
| v1.0.0 | 2026-04-22 | 7f3a017 | 13,033 B | A | view · diff |
| v1.0.0 | 2026-03-01 | 969f335 | 13,020 B | A | view · diff |
| v1.0.0 | 2026-03-01 | ac76f34 | 11,265 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13035 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
jnpiyush/agentx · 19 stars · license Apache-2.0 · pushed 2026-11-04 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_cgs6agmwwhtvjkjc GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/feedback-loops GET https://markdownregistry.com/api/v1/blob/6688a4671e0ea6088f5b5002be385782b3bec2326bc508c07c68c7d6445446c8
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.