arcadedb: Skill for Claude Code

.claude/skills/pr-review-surfaces/SKILL.md

pr-review-surfaces is a skill for Claude Code from ArcadeData/arcadedb. It costs 59 tokens per session (360 once invoked), scanned A, original, Apache-2.0.

A guide to finding and responding to automated pull-request reviews on GitHub. A pull request is a proposed code change, and different review bots may place findings in comments, formal reviews, or inline discussion threads.

In plain words
What is it for?
Use it to poll review results, inspect bot comments and threads, re-trigger a silent review, and decide whether a pull request is ready to merge.
Why use it?
Reading only one GitHub review area can miss findings and make a change appear ready when it is not. The guide explains where each bot writes and how to re-run or answer reviews.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is ArcadeData/arcadedb's own configuration. It tells Claude Code how to work on arcadedb 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 arcadedb configures →

About the project

ArcadeDB is a database management system that stores and works with several kinds of data, including graph, document, key-value, time-series, geospatial, and vector data. It is used by applications that need one database supporting interfaces such as SQL, Cypher, Gremlin, HTTP/JSON, MongoDB, and Redis. The catalogue add-on operates ArcadeDB.

ArcadeData/arcadedb · 1,225 stars · on GitHub · arcadedb.com

Reuse

Borrowing it

Nothing to install: this file belongs to ArcadeData/arcadedb. 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/ArcadeData/arcadedb/main/.claude/skills/pr-review-surfaces/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ArcadeData/arcadedb

Made for: Claude Code.

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-surfaces

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/arcadedata/arcadedb/pr-review-surfaces"><img src="https://agentmods.dev/badge/skills/arcadedata/arcadedb/pr-review-surfaces.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 360 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 $0.00059 $0.00360
Opus 5.5 $0.00024 $0.00144
Sonnet 5.5 $0.00012 $0.00072
Haiku 4.5 $0.00006 $0.00036

Measured 29d ago against content hash e09c4488515e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pr-review-surfaces 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 29d 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.

.claude/skills/pr-review-surfaces/SKILL.md · 21 lines

What it actually says

PR review surfaces

The automated reviewers on a PR write to three different places, and a poll that reads only one of them misses findings for hours (PR #7437):

  • gh pr view <N> --json comments shows the ISSUE comments only: the claude-review job, Codacy, Codecov.
  • CodeRabbit posts PR REVIEWS: gh api repos/ArcadeData/arcadedb/pulls/<N>/reviews carries their bodies (the nitpicks and the "outside diff range" findings) and gh api repos/ArcadeData/arcadedb/pulls/<N>/comments the inline threads, one per actionable finding. Reply to a thread with POST pulls/<N>/comments/<id>/replies: CodeRabbit re-verifies the next push, answers in the thread and resolves it itself, and it re-reviews every push.
  • The claude-review job often finishes with permission_denials_count > 0 in its result block and posts nothing. gh run rerun <runId> gets a real review on the same commit without writing a comment; never use the @claude trigger phrase in a comment.
  • A PR is ready when the latest substantive review says nothing blocks the merge, no major issue is open, every CodeRabbit thread is resolved and the checks are green.
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. 29d ago First seen · 21 lines · 59 tokens per session scan A e09c4488515e

Subscribe to this mod's changes

pr-review-surfaces is a skill published in the GitHub repository ArcadeData/arcadedb (1,225 stars, last pushed today), licensed Apache-2.0. It adds 59 tokens to every session and 360 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 2026-09-30.

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