engineering-pr-review-expert-review

engineering-pr-review-expert-review is a skill for Claude Code, Codex from aidi1723/safe-agent-skills. It costs 32 tokens per session (350 once invoked), scanned A, original, Apache-2.0.

A review guide for deciding whether a proposed coding-agent skill should be adopted, merged, kept as a reference, or rejected.

In plain words
What is it for?
It is for reviewing metadata-only skill candidates and producing an adoption recommendation and verifier checklist.
Why use it?
It helps reviewers check overlap, licensing, permissions, provenance, and verification requirements before importing a skill.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for reviewing metadata-only skill candidates and producing an adoption recommendation and verifier checklist.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aidi1723/safe-agent-skills/engineering-pr-review-expert-review
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 aidi1723/safe-agent-skills --skill engineering-pr-review-expert-review
Clone the repo
git clone --depth 1 https://github.com/aidi1723/safe-agent-skills

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 engineering-pr-review-expert-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/aidi1723/safe-agent-skills/engineering-pr-review-expert-review/github.svg)](https://agentmods.dev/skills/aidi1723/safe-agent-skills/engineering-pr-review-expert-review)
Your own site
<a href="https://agentmods.dev/skills/aidi1723/safe-agent-skills/engineering-pr-review-expert-review"><img src="https://agentmods.dev/badge/skills/aidi1723/safe-agent-skills/engineering-pr-review-expert-review/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 engineering-pr-review-expert-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/aidi1723/safe-agent-skills/engineering-pr-review-expert-review"><img src="https://agentmods.dev/badge/skills/aidi1723/safe-agent-skills/engineering-pr-review-expert-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 350 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 $0.00032 $0.00350
Opus 5.5 $0.00013 $0.00140
Sonnet 5.5 $0.00006 $0.00070
Haiku 4.5 $0.00003 $0.00035

Measured 1mo ago against content hash 3bb538c86e0a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

engineering-pr-review-expert-review 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.

batches/batch-024-claude-skills-bulk-draft/engineering-pr-review-expert-review/SKILL.md · 51 lines

What it actually says

Pr Review Expert Review

When To Use

Use this draft when reviewing the pr-review-expert metadata-only candidate from claude-skills before deciding whether to author a local OneCode skill, merge it into an existing skill, or keep it reference-only.

Safe Workflow

  1. Identify the task, audience, owner, source domain, target catalog category, and expected artifact.
  2. Compare the candidate with existing trusted Safe-Agent-Skills to avoid duplicate or overlapping guidance.
  3. Draft local OneCode guidance from project requirements and operator review; do not copy upstream skill bodies.
  4. Check provenance, license notes, runtime permissions, and connector assumptions before import.
  5. Produce an adoption recommendation only; Do not execute upstream content or mark this draft trusted.

Expected Output

  • metadata-only candidate summary
  • overlap and merge recommendation
  • local authoring notes
  • required verifier checklist
  • adoption decision: convert, merge, keep reference-only, or reject

Verifier Expectations

  • metadata-only boundary check
  • duplicate skill check
  • provenance and license check
  • import, serial approval, schema-check, maintain-check, and verify before trust

Draft Metadata

  • upstream candidate: pr-review-expert
  • source domain: engineering
  • source path: engineering/skills/pr-review-expert
  • mapped category: engineering
  • score: 41
  • priority: P3
  • adoption before draft: reference_only
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 · 51 lines · 32 tokens per session scan A 3bb538c86e0a

Subscribe to this mod's changes

engineering-pr-review-expert-review is a skill published in the GitHub repository aidi1723/safe-agent-skills (1 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 350 once invoked, about $0.0001 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 2026-09-13.

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