dx-pr-review-report

dx-pr-review-report is a skill for Claude Code from easingthemes/dx-aem-flow. It costs 60 tokens per session (3,688 once invoked), scanned A, original, MIT.

A report generator for an existing pull-request review. It groups review comments, records which issues were fixed, and can publish the result to an Azure DevOps Wiki or Confluence.

In plain words
What is it for?
Use it to document one pull-request review, organize findings by type, and track the outcome of proposed changes.
Why use it?
It turns scattered review comments into a record that is easier to understand and revisit. This avoids manually sorting comments and checking which fixes were completed.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the dx-core plugin — 49 skills, 7 agents shipped together

Good fit Use it to document one pull-request review, organize findings by type, and track the outcome of proposed changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/easingthemes/dx-aem-flow/dx-pr-review-report
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 easingthemes/dx-aem-flow --skill dx-pr-review-report
Clone the repo
git clone --depth 1 https://github.com/easingthemes/dx-aem-flow

Made for: Claude Code.

Or install dx-core, the plugin that ships this one along with the rest of its 49 skills, 7 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 dx-pr-review-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/easingthemes/dx-aem-flow/dx-pr-review-report/github.svg)](https://agentmods.dev/skills/easingthemes/dx-aem-flow/dx-pr-review-report)
Your own site
<a href="https://agentmods.dev/skills/easingthemes/dx-aem-flow/dx-pr-review-report"><img src="https://agentmods.dev/badge/skills/easingthemes/dx-aem-flow/dx-pr-review-report/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 dx-pr-review-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/easingthemes/dx-aem-flow/dx-pr-review-report"><img src="https://agentmods.dev/badge/skills/easingthemes/dx-aem-flow/dx-pr-review-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,688 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00060 $0.03688
Opus 5.5 $0.00024 $0.01475
Sonnet 5.5 $0.00012 $0.00738
Haiku 4.5 $0.00006 $0.00369

Measured 2d ago against content hash b9fa1a08a84a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dx-pr-review-report 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.

plugins/dx-core/skills/dx-pr-review-report/SKILL.md · 377 lines

How it starts

The opening of the file, as written. The whole thing — 377 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You generate a structured report from an existing PR review. The report groups review comments by category, summarizes patch outcomes, and optionally posts to the ADO wiki.

Defaults

Read shared/ado-config.md and shared/provider-config.md for how to look up project config from .ai/config.yaml.

  • Provider: read from .ai/config.yaml tracker.provider — ado (default) or jira
  • Organization: read from .ai/config.yaml scm.org — NEVER hardcode
  • Project: read from .ai/config.yaml scm.project
  • Wiki parent page (ADO): read from .ai/config.yaml scm.wiki-pr-review-root — parent wiki page for PR review reports
  • Confluence space (Jira): read from .ai/config.yaml confluence.space-key
  • Confluence PR review root (Jira): read from .ai/config.yaml confluence.pr-review-root — parent page title for PR review reports

1. Parse Input

The argument is either:

  • Full URL: https://{org}.visualstudio.com/{project}/_git/{repo}/pullrequest/{id} or https://dev.azure.com/{org}/{project}/_git/{repo}/pullrequest/{id} — extract project, repo, and pullRequestId. URL-decode the project. The URL-extracted project takes precedence over the config default.
  • PR ID only (number): Detect repo from git remote get-url origin, read .ai/config.yaml for repo → ADO project mapping

Load MCP tools before any ADO calls:

ToolSearch("+ado repo")
ToolSearch("+ado pull request thread")
ToolSearch("+ado wiki")
ToolSearch("+ado work item")

2. Fetch PR Details

Resolve the repo ID first:

mcp__ado__repo_repository
  action: "get"
  project: "<project from URL if provided, otherwise from config>"
  repositoryNameOrId: "<repo name>"

Then fetch the PR:

mcp__ado__repo_pull_request
  action: "get"
  repositoryId: "<repo ID>"
  pullRequestId: <PR ID>

Extract:

  • Title, PR ID, Author (displayName)
  • Source branch, Target branch
  • Status (active, completed, abandoned)
  • Created date, Closed date (if completed)
  • Reviewers and their votes
  • Description — for understanding the PR intent
  • Work item links — from resourceRef relations (artifact links with vstfs:///Git/PullRequestId/)

Read the full file on GitHub · 377 lines

Files

What ships with it

1 file 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 · -1 lines · +2 tokens per session b9fa1a08a84a
  2. 19d ago Changed · +10 lines 0a87390ac05c
  3. 1mo ago Changed 3b143a0b283e
  4. 1mo ago First seen · 368 lines · 58 tokens per session scan A 8d9f965947f8

Subscribe to this mod's changes

dx-pr-review-report is a skill published in the GitHub repository easingthemes/dx-aem-flow (6 stars, last pushed 2d ago), licensed MIT. It adds 60 tokens to every session and 3,688 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

autoreview

Structured code review through the shared OpenClaw agent-skills installation.

openclaw/clawhub · 17 tokens

omh-code-review

This is an OMH code-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

rlaope/oh-my-hermes · 48 tokens

revdiff-plan

Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…

umputun/revdiff · 84 tokens

asplos-writing-style

Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and…

brycewang-stanford/Awesome-Journal-Skills · 65 tokens

explore-unknowns

Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the…

dzhng/skills · 162 tokens

re0-merge

Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…

LilMGenius/paperthin · 70 tokens