pr-review-dashboard

pr-review-dashboard is a skill for Claude Code, Codex from surajssd/dotfiles. It costs 112 tokens per session (2,853 once invoked), scanned A, original, MIT.

A review tool that creates a single-file HTML dashboard for the pull request represented by the current Git branch. A pull request is a proposed set of code changes awaiting review.

In plain words
What is it for?
Use it to review or explain the current branch's pull request. It assesses committed changes and creates an interactive dashboard without changing the reviewed code or posting a review.
Why use it?
It helps an unfamiliar reviewer understand what changed, check whether it is safe, and decide what to do next using evidence from the repository and the branch history.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument; mentions AGENTS.md.

Good fit Use it to review or explain the current branch's pull request. It assesses committed changes and creates an interactive dashboard without changing the reviewed code or posting a review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/surajssd/dotfiles/pr-review-dashboard
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 surajssd/dotfiles --skill pr-review-dashboard
Clone the repo
git clone --depth 1 https://github.com/surajssd/dotfiles

Made for: Claude Code, Codex.

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 pr-review-dashboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/surajssd/dotfiles/pr-review-dashboard/github.svg)](https://agentmods.dev/skills/surajssd/dotfiles/pr-review-dashboard)
Your own site
<a href="https://agentmods.dev/skills/surajssd/dotfiles/pr-review-dashboard"><img src="https://agentmods.dev/badge/skills/surajssd/dotfiles/pr-review-dashboard/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 pr-review-dashboard

Your own site · 80×15
<a href="https://agentmods.dev/skills/surajssd/dotfiles/pr-review-dashboard"><img src="https://agentmods.dev/badge/skills/surajssd/dotfiles/pr-review-dashboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 112 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,853 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 $0.00112 $0.02853
Opus 5 $0.00056 $0.01426
Sonnet 5 $0.00022 $0.00571
Haiku 4.5 $0.00011 $0.00285

Measured 8d ago against content hash 825f216116eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

pr-review-dashboard 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 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate_dashboard.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/pr-review-dashboard/SKILL.md · 197 lines

How it starts

The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR Review Dashboard

Act as a staff-level code reviewer. Produce a decision aid that helps an unfamiliar reviewer understand the change, verify its safety, and know what to do next.

Put correctness, evidence, and actionable findings ahead of visual quantity. Use diagrams to compress relationships that prose cannot; do not use them as decoration. Do not modify the reviewed code, submit a GitHub review, or post comments unless the user explicitly asks.

Read references/review-method.md completely before evaluating the change. For any non-trivial PR, also read references/diagram-selection.md completely before choosing visualizations.

1. Establish the review boundary

Run from the repository root and capture the local state before reviewing:

ROOT=$(git rev-parse --show-toplevel) || exit 1
cd "$ROOT"
CURRENT=$(git symbolic-ref --quiet --short HEAD || true)
HEAD_SHA=$(git rev-parse HEAD)
git status --short

Stop if CURRENT is empty: a detached HEAD does not identify a feature branch reliably. Record any working-tree changes. Review only committed $BASE...HEAD changes unless the user explicitly includes local changes; never silently attribute unrelated uncommitted work to the PR.

Discover and read applicable repository guidance before judging the code. Check root and changed-path scopes for AGENTS.md, CONTRIBUTING*, review guides, architecture docs, test instructions, and language-specific conventions. Prefer rg --files for discovery.

Fetch remote refs on a best-effort basis:

git fetch origin --quiet

If fetching fails, continue only when a usable local base ref exists. Disclose that remote freshness was not verified.

2. Resolve the PR and its actual base before diffing

Resolve author intent and the target branch before gathering the diff. A PR may target develop, a release branch, or another non-default branch; the repository default is only a fallback.

Read the full file on GitHub · 197 lines

Files

What ships with it

4 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. 8d ago First seen · 197 lines · 112 tokens per session scan A 825f216116eb

Subscribe to this mod's changes

pr-review-dashboard is a skill published in the GitHub repository surajssd/dotfiles (5 stars, last pushed 2d ago), licensed MIT. It adds 112 tokens to every session and 2,853 once invoked, about $0.0006 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 2026-08-31.