feedback-resolution

feedback-resolution is a skill for Claude Code from synaptiai/synapti-marketplace. It costs 103 tokens per session (1,499 once invoked), scanned A, original, Apache-2.0.

A workflow guide for handling pull-request review comments with focused code changes that can be traced back to each comment.

In plain words
What is it for?
It helps apply review-requested fixes, separate small cleanup commits, and decide when a review comment is factually wrong or would break tests.
Why use it?
It prevents unrelated edits from being mixed into review fixes and helps recover the right code context when line numbers have changed.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: agent in frontmatter; mentions CLAUDE.md.

Part of the flow plugin — 31 skills, 21 commands, 9 agents shipped together

Good fit It helps apply review-requested fixes, separate small cleanup commits, and decide when a review comment is factually wrong or would break tests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/synaptiai/synapti-marketplace/feedback-resolution
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add synaptiai/synapti-marketplace --skill feedback-resolution
Clone the repo
git clone --depth 1 https://github.com/synaptiai/synapti-marketplace

Made for: Claude Code.

Or install flow, the plugin that ships this one along with the rest of its 31 skills, 21 commands, 9 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for feedback-resolution

README.md
[![agentmods](https://agentmods.dev/badge/skills/synaptiai/synapti-marketplace/feedback-resolution/github.svg)](https://agentmods.dev/skills/synaptiai/synapti-marketplace/feedback-resolution)
Your own site
<a href="https://agentmods.dev/skills/synaptiai/synapti-marketplace/feedback-resolution"><img src="https://agentmods.dev/badge/skills/synaptiai/synapti-marketplace/feedback-resolution/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for feedback-resolution

Your own site · 80×15
<a href="https://agentmods.dev/skills/synaptiai/synapti-marketplace/feedback-resolution"><img src="https://agentmods.dev/badge/skills/synaptiai/synapti-marketplace/feedback-resolution.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,499 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00103 $0.01499
Opus 5 $0.00051 $0.00749
Sonnet 5 $0.00021 $0.00300
Haiku 4.5 $0.00010 $0.00150

Measured 6d ago against content hash b51457370b86, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

feedback-resolution scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/flow/skills/feedback-resolution/SKILL.md · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feedback Resolution

Domain skill for systematically addressing PR review comments.

Iron Law

EVERY FIX TRACES TO A SPECIFIC REVIEW COMMENT OR THE BOY SCOUT RULE. Untraceable changes that fail the proximity test are out-of-context changes.

If you can't point to the review comment or the Boy Scout proximity test that motivated a change, the change doesn't belong in this round.

Focused Change Principle

When addressing feedback, fix what the feedback requires — and apply the Boy Scout Rule to files you're already modifying:

  • Each feedback fix should be traceable to a specific review comment
  • Don't add features while addressing feedback
  • Don't change formatting in files not mentioned in feedback
  • Boy Scout cleanup in files being modified for feedback is allowed if it passes the proximity test (see code-quality-principles)
  • Boy Scout fixes get separate improve: commits, never mixed with feedback fixes

Feedback Collection

Fetch all review feedback:

PR_NUM=$ARGUMENTS
REPO=$(gh repo view --json nameWithOwner --jq '.nameWithOwner')

# Review comments with file:line context
gh api repos/$REPO/pulls/$PR_NUM/comments --jq '.[] | {id: .id, path: .path, line: .line, body: .body, author: .user.login}'

# Review summaries and states
gh pr view $PR_NUM --json reviews --jq '.reviews[] | {state: .state, body: .body, author: .author.login}'

# Root conversation threads (for grouping replies)
gh api repos/$REPO/pulls/$PR_NUM/comments --jq '.[] | select(.in_reply_to_id == null) | .id'

Feedback Categorization

Categorize each comment:

Category Action
P1 — Must fix Code bug, security issue, logic error
P2 — Should fix Convention violation, missing test, unclear code
P3 — Consider Style preference, optimization suggestion
Question Needs response, not necessarily a code change
Resolved Already fixed or no longer relevant

Context Recovery

Don't trust line numbers from review comments — code may have changed since the review:

Read the full file on GitHub · 143 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 143 lines · 103 tokens per session scan A b51457370b86

Subscribe to this mod's changes

feedback-resolution is a skill published in the GitHub repository synaptiai/synapti-marketplace (6 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 103 tokens to every session and 1,499 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

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