workflow-address-feedback

workflow-address-feedback is a skill for Claude Code from lugassawan/swe-workbench. It costs 85 tokens per session (5,420 once invoked), scanned A, original, MIT.

A workflow for working through review comments on a GitHub pull request. It fetches outstanding feedback, labels each item as addressed, clarified, or deferred, applies approved fixes, and resolves review threads.

In plain words
What is it for?
Use it to triage review threads, make the requested code changes, commit the fixes, update the pull request, and resolve completed discussions.
Why use it?
It turns scattered pull-request feedback into a tracked set of decisions and follow-up changes.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the swe-workbench plugin — 61 skills, 25 commands, 23 agents, 4 hooks shipped together

Good fit Use it to triage review threads, make the requested code changes, commit the fixes, update the pull request, and resolve completed discussions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lugassawan/swe-workbench/workflow-address-feedback
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 lugassawan/swe-workbench --skill workflow-address-feedback
Clone the repo
git clone --depth 1 https://github.com/lugassawan/swe-workbench

Made for: Claude Code.

Or install swe-workbench, the plugin that ships this one along with the rest of its 61 skills, 25 commands, 23 agents, 4 hooks.

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 workflow-address-feedback

README.md
[![agentmods](https://agentmods.dev/badge/skills/lugassawan/swe-workbench/workflow-address-feedback/github.svg)](https://agentmods.dev/skills/lugassawan/swe-workbench/workflow-address-feedback)
Your own site
<a href="https://agentmods.dev/skills/lugassawan/swe-workbench/workflow-address-feedback"><img src="https://agentmods.dev/badge/skills/lugassawan/swe-workbench/workflow-address-feedback/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 workflow-address-feedback

Your own site · 80×15
<a href="https://agentmods.dev/skills/lugassawan/swe-workbench/workflow-address-feedback"><img src="https://agentmods.dev/badge/skills/lugassawan/swe-workbench/workflow-address-feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,420 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 $0.00085 $0.05420
Opus 5.5 $0.00034 $0.02168
Sonnet 5.5 $0.00017 $0.01084
Haiku 4.5 $0.00009 $0.00542

Measured 2d ago against content hash f5204e8cde2f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

workflow-address-feedback 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 2d 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.

skills/workflow-address-feedback/SKILL.md · 221 lines

How it starts

The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workflow: Address Feedback

Announce at start: "I'm using the workflow-address-feedback skill to address review feedback on PR #N."

When to invoke

  • The user runs /swe-workbench:address-feedback <N>.
  • A PR owner wants to systematically work through review threads.
  • Phrases: "address the feedback on PR 123", "help me resolve review comments", "triage and fix the review threads on #456".

When NOT to invoke

  • The reviewer side of the loop → use swe-workbench:workflow-pr-review (first-pass or followup mode).
  • The user just wants to reply to a single comment without the full triage flow.
  • The PR is closed/merged.

Composition

This skill orchestrates:

  • swe-workbench:ticket-context — prepended context when PR references a ticket.
  • swe-workbench:workflow-commit-and-pr — invoked after all ADDRESSED fixes are applied to commit and push.

Phase flow

Phase 1 — Pre-flight + fetch

command -v swe-workbench-address-feedback-fetch >/dev/null 2>&1 || {
  echo "swe-workbench runtime commands not on PATH — reinstall or update the swe-workbench plugin." >&2
  exit 1
}
RESULT=$(swe-workbench-address-feedback-fetch --pr "$PR" \
  | swe-workbench-result-check swb.address-feedback-fetch/1) || exit 1
STATE=$(printf '%s' "$RESULT" | jq -r '.data.state')
JSON=$(printf '%s' "$RESULT" | jq -r '.data.pr_json_path')
[ "$STATE" = "OPEN" ] || { swe-workbench-clean-state-files "$JSON"; echo "PR #$PR is $STATE — address-feedback only applies to open PRs."; exit 1; }
OWNER=$(printf '%s' "$RESULT" | jq -r '.data.owner')
REPO=$(printf '%s' "$RESULT" | jq -r '.data.repo')
AUTHOR_LOGIN=$(printf '%s' "$RESULT" | jq -r '.data.author_login')
CURRENT_USER=$(printf '%s' "$RESULT" | jq -r '.data.current_user')
PR_BRANCH=$(printf '%s' "$RESULT" | jq -r '.data.pr_branch')
THREADS_PATH=$(printf '%s' "$RESULT" | jq -r '.data.threads_path')
PR_COMMENTS_PATH=$(printf '%s' "$RESULT" | jq -r '.data.pr_comments_path')
TRIAGE_PATH=$(printf '%s' "$RESULT" | jq -r '.data.triage_path')
RESUME_TRIAGE_PATH=$(printf '%s' "$RESULT" | jq -r '.data.resume_triage_path')
ELIGIBLE_THREADS=$(printf '%s' "$RESULT" | jq -r '.data.eligible_threads')
SKIPPED_THREADS_CLARIFIED=$(printf '%s' "$RESULT" | jq -r '.data.skipped_threads_clarified')
ELIGIBLE_PR_COMMENTS=$(printf '%s' "$RESULT" | jq -r '.data.eligible_pr_comments')
SKIPPED_PR_COMMENTS=$(printf '%s' "$RESULT" | jq -r '.data.skipped_pr_comments')
RUN_DIR=$(swe-workbench-new-run-dir address-feedback "$PR")

swe-workbench-address-feedback-fetch handles gh auth status, fetches the PR JSON to $JSON (via swe-workbench-preflight-pr), and — when the PR is OPEN — paginates review threads, PR-level conversation comments and submitted-review bodies, projecting eligible/skip_reason onto each entry. A valid generated PR batch — in a conversation comment, or in a review body (the posting core folds PR-level findings into the review: summary first, then the batch marker on its own line) — becomes one projected PR feedback item per finding, each with .parent_comment_id (the comment id, or review-<review-id> for a review body), .finding_id, .triage_key (prcomment:<id>:finding:<n> or review:<id>:finding:<n>), .handled_marker, and the extracted .body (the trailing finding-key bookkeeping line is stripped); unmarked third-party comments stay one legacy item, a plain review summary is not feedback, and a marked batch that fails strict parsing surfaces as one legacy item. Bot exclusion remains absolute; valid batches from the PR author/current runner are retained. It writes those projections to $THREADS_PATH/$PR_COMMENTS_PATH. The [ "$STATE" = "OPEN" ] gate runs immediately after the fetch and before $RUN_DIR is allocated, so a rejected PR reaps $JSON inline via swe-workbench-clean-state-files rather than leaking it — $RUN_DIR never exists on this path, so there is nothing else to reap. new-run-dir.sh allocates $RUN_DIR — a mode-0700 scratch directory under /tmp/swe-workbench-run/ for this run's own ad-hoc bash artifacts, distinct from the deliberate PR-keyed state files above (including $TRIAGE_PATH, which is a cross-invocation resume point and must never move here). All four state paths are repo-scoped: the fetch resolves the owner-repo slug itself — explicit --repo when the invocation carried a full PR URL, else the checkout's origin remote, else legacy un-scoped names — so same-numbered PRs in different repositories never collide.

Read the full file on GitHub · 221 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago Changed f5204e8cde2f
  2. 11d ago Changed 8eb3f9d95e09
  3. 16d ago Changed 89c2ee767e24
  4. 26d ago Changed b7d765a3f478
  5. 29d ago Changed e4db00da9e96
  6. 1mo ago Changed · +2 lines 463f1ad63c2e
  7. 1mo ago First seen · 219 lines · 85 tokens per session scan A 8a1b8d3e11ec

Subscribe to this mod's changes

workflow-address-feedback is a skill published in the GitHub repository lugassawan/swe-workbench (3 stars, last pushed yesterday), licensed MIT. It adds 85 tokens to every session and 5,420 once invoked, about $0.0003 per session on Opus 5.5. 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.

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