receiving-code-review

receiving-code-review is a skill for Claude Code from artk0de/TeaRAGs-MCP. It costs 150 tokens per session (3,025 once invoked), scanned A, original, no licence file.

A code-review workflow that checks a proposed rename, refactor, move, or extraction against imports, change history, and affected code.

In plain words
What is it for?
Use it to assess review comments, estimate a change's blast radius, and decide whether a reviewer’s suggestion is safe.
Why use it?
It shows how widely a suggested change may affect the project before you accept or reject it.

Skill for Claude Code

Written for Claude Code: a Claude Code plugin manifest.

Part of the dinopowers plugin — 10 skills shipped together

Good fit Use it to assess review comments, estimate a change's blast radius, and decide whether a reviewer’s suggestion is safe.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/artk0de/tearags-mcp/receiving-code-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 artk0de/TeaRAGs-MCP --skill receiving-code-review
Clone the repo
git clone --depth 1 https://github.com/artk0de/TeaRAGs-MCP

Made for: Claude Code.

Or install dinopowers, the plugin that ships this one along with the rest of its 10 skills.

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 receiving-code-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/artk0de/tearags-mcp/receiving-code-review/github.svg)](https://agentmods.dev/skills/artk0de/tearags-mcp/receiving-code-review)
Your own site
<a href="https://agentmods.dev/skills/artk0de/tearags-mcp/receiving-code-review"><img src="https://agentmods.dev/badge/skills/artk0de/tearags-mcp/receiving-code-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 receiving-code-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/artk0de/tearags-mcp/receiving-code-review"><img src="https://agentmods.dev/badge/skills/artk0de/tearags-mcp/receiving-code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 150 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,025 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 unknown 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 $0.00150 $0.03025
Opus 5 $0.00075 $0.01512
Sonnet 5 $0.00030 $0.00605
Haiku 4.5 $0.00015 $0.00302

Measured 9d ago against content hash 42f8de06a263, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

receiving-code-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 9d 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-plugin/dinopowers/skills/receiving-code-review/SKILL.md · 263 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 9d ago First seen · 263 lines · 150 tokens per session scan A 42f8de06a263

Subscribe to this mod's changes

receiving-code-review is a skill published in the GitHub repository artk0de/TeaRAGs-MCP (11 stars, last pushed 24d ago), with no licence file. It adds 150 tokens to every session and 3,025 once invoked, about $0.0007 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 2026-08-30.

Related

Other skills, from other repositories

ch015-verifier

Run CH015 adversarial verification workflows to independently validate security reports, recheck file-line evidence, find false positives, severity errors, missed findings, and dependencies.

ch015/code-pentester · 37 tokens

intelligence-review-skills

Audit the intelligence layer for duplication, drift, size, hardcoded paths and framing.

ainova-systems/intelligence-sync · 22 tokens

holdout-validation

Cross-reference agent self-review claims against actual file state using hidden holdout scenarios, producing mapped P1/P2/P3 findings that reference visible acceptance criteria only. Use when verifying implementation completeness after self-review in start (Phase 4 VERIFY), address (convergence check), or review…

synaptiai/synapti-marketplace · 120 tokens

team-coordination

Coordinate agent teams for adversarial review (paired skeptic/verifier per facet, challenge round with disposition vocabulary, consolidated findings with confidence) or parallel implementation (task sizing 5-6 per teammate, non-overlapping files). Enforces independent analysis before shared conclusions. Reference only…

synaptiai/synapti-marketplace · 80 tokens

code-review-methodology

Conduct two-stage code review: Stage 1 verifies spec compliance (criterion-to-code mapping), Stage 2 evaluates security, correctness, performance, and maintainability across 6 parallel facets with P1/P2/P3 synthesis and deduplication by file:line. Use when reviewing code changes or pull requests. This skill MUST be…

synaptiai/synapti-marketplace · 90 tokens

ch015-pentest

Run CH015 penetration testing workflows for attacker-minded source-code review, exploit scenarios, POC generation, dry-run or live verification, and security findings.

ch015/code-pentester · 35 tokens