phantom-neural-cortex: Skill for Claude Code

.claude/skills/review-implementing/SKILL.md

review-implementing is a skill for Claude Code from LEEI1337/phantom-neural-cortex. It costs 68 tokens per session (933 once invoked), scanned A, original, MIT.

A method for turning code-review comments into specific implementation tasks and applying them systematically.

In plain words
What is it for?
Use it when working through pull-request feedback, reviewer notes, or requested fixes to code and tests.
Why use it?
It prevents reviewer requests from being missed and keeps each requested change clear and traceable.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md; names the TodoWrite tool.

This is LEEI1337/phantom-neural-cortex's own configuration. It tells Claude Code how to work on phantom-neural-cortex 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 phantom-neural-cortex configures →

Reuse

Borrowing it

Nothing to install: this file belongs to LEEI1337/phantom-neural-cortex. 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/LEEI1337/phantom-neural-cortex/master/.claude/skills/review-implementing/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/LEEI1337/phantom-neural-cortex

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 review-implementing

README.md
[![agentmods](https://agentmods.dev/badge/skills/leei1337/phantom-neural-cortex/review-implementing.svg)](https://agentmods.dev/skills/leei1337/phantom-neural-cortex/review-implementing)
Your own site
<a href="https://agentmods.dev/skills/leei1337/phantom-neural-cortex/review-implementing"><img src="https://agentmods.dev/badge/skills/leei1337/phantom-neural-cortex/review-implementing.svg" alt="Measured on agentmods" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 933 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00068 $0.00933
Opus 5 $0.00034 $0.00466
Sonnet 5 $0.00014 $0.00187
Haiku 4.5 $0.00007 $0.00093

Measured 6d ago against content hash c6fb3bc5272a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

review-implementing 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 6d 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/review-implementing/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Feedback Implementation

Systematically process and implement changes based on code review feedback.

When to Use

Automatically activate when the user:

  • Provides reviewer comments or feedback
  • Pastes PR review notes
  • Mentions implementing review suggestions
  • Says "address these comments" or "implement feedback"
  • Shares a list of changes requested by reviewers

Systematic Workflow

1. Parse Reviewer Notes

Identify individual feedback items:

  • Split numbered lists (1., 2., etc.)
  • Handle bullet points or unnumbered feedback
  • Extract distinct change requests
  • Clarify any ambiguous items before starting

2. Create Todo List

Use TodoWrite tool to create actionable tasks:

  • Each feedback item becomes one or more todos
  • Break down complex feedback into smaller tasks
  • Make tasks specific and measurable
  • Mark first task as in_progress before starting

Example:

- Add type hints to extract function
- Fix duplicate tag detection logic
- Update docstring in chain.py
- Add unit test for edge case

3. Implement Changes Systematically

For each todo item:

Locate relevant code:

  • Use Grep to search for functions/classes
  • Use Glob to find files by pattern
  • Read current implementation

Make changes:

  • Use Edit tool for modifications
  • Follow project conventions (CLAUDE.md)
  • Preserve existing functionality unless changing behavior

Verify changes:

  • Check syntax correctness
  • Run relevant tests if applicable
  • Ensure changes address reviewer's intent

Update status:

  • Mark todo as completed immediately after finishing
  • Move to next todo (only one in_progress at a time)

4. Handle Different Feedback Types

Code changes:

  • Use Edit tool for existing code
  • Follow type hint conventions (PEP 604/585)
  • Maintain consistent style

New features:

  • Create new files with Write tool if needed
  • Add corresponding tests
  • Update documentation

Documentation:

  • Update docstrings following project style
  • Modify markdown files as needed
  • Keep explanations concise

Read the full file on GitHub · 156 lines

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. 6d ago First seen · 156 lines · 68 tokens per session scan A c6fb3bc5272a

Subscribe to this mod's changes

review-implementing is a skill published in the GitHub repository LEEI1337/phantom-neural-cortex (5 stars, last pushed 6mo ago), licensed MIT. It adds 68 tokens to every session and 933 once invoked, about $0.0003 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.

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