ijfw-receiving-review

ijfw-receiving-review is a skill for Claude Code from FerroxLabs/ijfw. It costs 75 tokens per session (1,842 once invoked), scanned A, original, MIT.

A method for responding to code-review comments by checking each finding before changing code or rejecting it. Code review is the process of examining proposed changes for defects, risks, and design problems.

In plain words
What is it for?
Use it to reproduce review findings, fix confirmed issues, or explain disagreements with specific technical evidence in pull requests and other reviews.
Why use it?
It avoids both blindly accepting incorrect feedback and dismissing valid concerns without evidence, reducing the chance of introducing regressions.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ijfw plugin — 34 skills, 22 commands, 37 agents, 6 hooks shipped together

Good fit Use it to reproduce review findings, fix confirmed issues, or explain disagreements with specific technical evidence in pull requests and other reviews.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ferroxlabs/ijfw/ijfw-receiving-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 FerroxLabs/ijfw --skill ijfw-receiving-review
Clone the repo
git clone --depth 1 https://github.com/FerroxLabs/ijfw

Made for: Claude Code.

Or install ijfw, the plugin that ships this one along with the rest of its 34 skills, 22 commands, 37 agents, 6 hooks.

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 ijfw-receiving-review

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ferroxlabs/ijfw/ijfw-receiving-review"><img src="https://agentmods.dev/badge/skills/ferroxlabs/ijfw/ijfw-receiving-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,842 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00075 $0.01842
Opus 5 $0.00037 $0.00921
Sonnet 5 $0.00015 $0.00368
Haiku 4.5 $0.00007 $0.00184

Measured 7d ago against content hash c5151980cafd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ijfw-receiving-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 7d 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/ijfw-receiving-review/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

IJFW Receiving Review -- technical rigor over performance

Paired with ijfw-review (reviewer side). This is the implementer side: how to react to findings from ijfw-review, ijfw-cross-audit, a human PR reviewer, a book editor, a design critic, or any other source -- without two failure modes.

Failure mode A: blind agreement. "You're absolutely right!" then implement. The finding was never verified. Half the time the reviewer was wrong, the cited line moved, or the suggested fix breaks an invariant they did not know about. You now own a regression.

Failure mode B: performative pushback. "I disagree, this is fine." No technical specifics, no citation, no evidence. Reviewer pushes back harder. You either cave (back to A) or dig in (the regression ships anyway).

The rule: every finding gets ONE of three legitimate replies, and each reply has an evidence bar.


1. Three legitimate replies to a finding

Pick ONE per finding. Never "I'll think about it" -- that is silent deferral and rots the review thread.

  • Agree-and-fix -- reproduce the finding, accept it, change the code, link the commit.
  • Disagree-with-reason -- cite the file, the line, the contract, the test, or the invariant that makes the finding wrong. No vibes.
  • Need-more-info -- ask ONE specific question. Not "can you explain?" Instead: "you flagged L42 as a null deref -- is the concern the early-return path on L38 or the catch block on L51?"

If you cannot pick one within 60 seconds of reading the finding, you have not understood it yet. Re-read it twice before replying.


2. Before agreeing -- verify the finding is real

Reproduce it. Open the cited file at the cited line. Run the failing command, the failing test, the failing query. If the bug does not reproduce, that is a Disagree-with-reason -- and a memory entry about the reviewer's hit rate.

A finding you cannot reproduce is a finding you cannot fix. "Agreeing" without reproduction means you will guess at a fix, the guess will be wrong, and the next reviewer round will flag it again.

Read the full file on GitHub · 123 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. 7d ago First seen · 123 lines · 75 tokens per session scan A c5151980cafd

Subscribe to this mod's changes

ijfw-receiving-review is a skill published in the GitHub repository FerroxLabs/ijfw (210 stars, last pushed 5d ago), licensed MIT. It adds 75 tokens to every session and 1,842 once invoked, about $0.0004 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 2026-09-05.