dglabs-deepclaw: Skill for Codex

.agents/skills/review-pr/SKILL.md

review-pr is a skill for Codex from deepgram/dglabs-deepclaw. It costs 48 tokens per session (1,668 once invoked), scanned A, original, MIT.

A read-only review process for GitHub pull requests, which are proposed code changes waiting to be checked before they are merged. It uses GitHub's command-line tool to inspect the request and produce a structured assessment.

In plain words
What is it for?
Use it to review a pull request, provide organized feedback, and assess whether it is ready for the next preparation step.
Why use it?
It helps find problems and judge whether a pull request is ready without changing the code or repository.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; installed under .agents/ (shared by several agents); built for openclaw.

This is deepgram/dglabs-deepclaw's own configuration. It tells Codex how to work on dglabs-deepclaw itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything dglabs-deepclaw configures →

Reuse

Borrowing it

Nothing to install: this file belongs to deepgram/dglabs-deepclaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/deepgram/dglabs-deepclaw/main/.agents/skills/review-pr/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/deepgram/dglabs-deepclaw

Made for: 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 review-pr

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/deepgram/dglabs-deepclaw/review-pr"><img src="https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/review-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,668 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 $0.00048 $0.01668
Opus 5.5 $0.00019 $0.00667
Sonnet 5.5 $0.00010 $0.00334
Haiku 4.5 $0.00005 $0.00167

Measured 1mo ago against content hash ec5dc42b2acd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-pr 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 1mo 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.

.agents/skills/review-pr/SKILL.md · 229 lines

How it starts

The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review PR

Overview

Perform a thorough review-only PR assessment and return a structured recommendation on readiness for /preparepr.

Inputs

  • Ask for PR number or URL.
  • If missing, always ask. Never auto-detect from conversation.
  • If ambiguous, ask.

Safety

  • Never push to main or origin/main, not during review, not ever.
  • Do not run git push at all during review. Treat review as read only.
  • Do not stop or kill the gateway. Do not run gateway stop commands. Do not kill processes on port 18792.

Execution Rule

  • Execute the workflow. Do not stop after printing the TODO checklist.
  • If delegating, require the delegate to run commands and capture outputs, not a plan.

Known Failure Modes

  • If you see "fatal: not a git repository", you are in the wrong directory. Use ~/dev/openclaw if available; otherwise ask user.
  • Do not stop after printing the checklist. That is not completion.

Writing Style for Output

  • Write casual and direct.
  • Avoid em dashes and en dashes. Use commas or separate sentences.

Completion Criteria

  • Run the commands in the worktree and inspect the PR directly.
  • Produce the structured review sections A through J.
  • Save the full review to .local/review.md inside the worktree.

First: Create a TODO Checklist

Create a checklist of all review steps, print it, then continue and execute the commands.

Setup: Use a Worktree

Use an isolated worktree for all review work.

cd ~/dev/openclaw
# Sanity: confirm you are in the repo
git rev-parse --show-toplevel

WORKTREE_DIR=".worktrees/pr-<PR>"
git fetch origin main

# Reuse existing worktree if it exists, otherwise create new
if [ -d "$WORKTREE_DIR" ]; then
  cd "$WORKTREE_DIR"
  git checkout temp/pr-<PR> 2>/dev/null || git checkout -b temp/pr-<PR>
  git fetch origin main
  git reset --hard origin/main
else
  git worktree add "$WORKTREE_DIR" -b temp/pr-<PR> origin/main
  cd "$WORKTREE_DIR"
fi

# Create local scratch space that persists across /reviewpr to /preparepr to /mergepr
mkdir -p .local

Read the full file on GitHub · 229 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. 1mo ago First seen · 229 lines · 48 tokens per session scan A ec5dc42b2acd

Subscribe to this mod's changes

review-pr is a skill published in the GitHub repository deepgram/dglabs-deepclaw (23 stars, last pushed 5mo ago), licensed MIT. It adds 48 tokens to every session and 1,668 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 2026-08-30.

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