call-rlhf-self-reflection-scorer SKILL.md skillA

call-rlhf-self-reflection-scorer from calle-ai/awesome-phone-call-agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add calle-ai/awesome-phone-call-agents/call-rlhf-self-reflection-scorer@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
calle-ai/awesome-phone-call-agents
Path
skills/call-rlhf-self-reflection-scorer/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Sep 18, 2026
Size
2,907 bytes
Repository stars
112
License
MIT

Offline experimental post-call feedback scorer using supplied ratings and text heuristics. Use to demonstrate advisory review suggestions; no LLM inference, RLHF training, or memory integration is included.

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

# RLHF Self-Reflection Scorer

This skill demonstrates post-call QA with a small lexical scorer. It accepts a supplied transcript and optional rating, then returns predefined review suggestions. It does not collect user feedback, call an LLM, train a model, store RAG memories, or apply prompt changes. These are possible future host integrations, not delivered behavior.

## Scientific Foundation

| Paper / Concept | Relevance |
|---|---|
| **LLM-as-a-Judge** | Using a strong LLM to evaluate the outputs of an agentic LLM correlates highly with human CSAT (Customer Satisfaction). |
| **Self-Reflection (Reflexion)** | Agents that critique their own past transcripts and generate "verbal reinforcement" prompts perform significantly better on subsequent tasks. |
| **RLHF (Reinforcement Learning from Human Feedback)** | Incorporating explicit user scores (if provided post-call) alongside automated critiques bridges the gap between simulated and real-world quality. |

## How it works

1. The skill receives the transcript and any explicit CSAT score given by the user (if applicable).
2. If the user gave a high score (>= 4), the interaction is marked as successful.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add calle-ai/awesome-phone-call-agents/call-rlhf-self-reflection-scorer@sha256:89445b7954b40488

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_c75wyh27a56dda5b.svg)](https://markdownregistry.com/a/art_c75wyh27a56dda5b)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 18, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-09-18 d331b58 2,907 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (2907 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

GitHub

calle-ai/awesome-phone-call-agents · 112 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_c75wyh27a56dda5b
GET https://markdownregistry.com/api/v1/resolve?ref=calle-ai/awesome-phone-call-agents/call-rlhf-self-reflection-scorer
GET https://markdownregistry.com/api/v1/blob/89445b7954b40488fe1b7adb37b5c053665ca9579cf7dffebcc7d40409839c2f

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.

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