# Receive Feedback

> Process external code review feedback with technical rigor. Use when receiving feedback from another LLM, human reviewer, or CI tool. Verifies claims before implementing, tracks disposition. Use when this capability is needed.

- Skill: `tomevault-io/receive-feedback` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/receive-feedback`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/receive-feedback/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/receive-feedback

---


# Receive Feedback

## Overview

Process code review feedback with verification-first discipline.
No performative agreement. Technical correctness over social comfort.

## Quick Reference

```
┌─────────────┐     ┌──────────────┐     ┌─────────────┐
│   VERIFY    │ ──▶ │   EVALUATE   │ ──▶ │   EXECUTE   │
│ (tool-based)│     │ (decision    │     │ (implement/ │
│             │     │  matrix)     │     │  reject/    │
└─────────────┘     └──────────────┘     │  defer)     │
                                         └─────────────┘
```

## Core Principle

**Verify before implementing. Ask before assuming.**

## When To Use

- Receiving code review from another LLM session
- Processing PR review comments
- Evaluating CI/linter feedback
- Handling suggestions from pair programming

## Workflow

For each feedback item:

1. **Verify** - Use tools to check if feedback is technically valid
2. **Evaluate** - Apply decision matrix to determine action
3. **Execute** - Implement, reject with evidence, or defer

## Command Workflow

Use this skill from the `/receive-feedback` command or by invoking it directly with a feedback file path.

1. **Read** the feedback file at `$ARGUMENTS`
2. **Parse** individual feedback items, whether numbered, bulleted, or freeform
3. **Load** this skill: `Skill(skill: "beagle-core:receive-feedback")`
4. **Process** each item through verify → evaluate → execute
5. **Produce** the structured response summary defined in `RESPONSE.md`

## Expected Feedback File Format

The feedback file may contain numbered or bulleted items:

```markdown
1. Remove unused import on line 15
2. Add error handling to the API call
3. Consider using a generator for large datasets
4. Fix typo in variable name: `usr` → `user`
```

Freeform prose is also acceptable; extract actionable items from the text.

## Example

```bash
/receive-feedback reviews/pr-123-feedback.md
```

Reads the file, processes each item with technical verification, and outputs a structured response table.

## Files

- `VERIFICATION.md` - Tool-based verification workflow
- `EVALUATION.md` - Decision matrix and rules
- `RESPONSE.md` - Structured output format
- `references/skill-integration.md` - Using with code-review skills

---
> Converted and distributed by [TomeVault](https://tomevault.io/claim/existential-birds) — claim your Tome and manage your conversions.
<!-- tomevault:4.0:skill_md:2026-04-11 -->