M3E: Skill for Codex

.agents/skills/kiro-review/SKILL.md

kiro-review is a skill for Codex from akaghef/M3E. It costs 39 tokens per session (1,440 once invoked), scanned A, a copy of kiro-review, MIT.

A review workflow for checking a completed task against its approved requirements, design, scope limits, and verification evidence. It is intended for adversarial, task-level review rather than inventing new requirements.

In plain words
What is it for?
Use it after implementation or remediation, before marking a task complete, and before moving it into feature-level validation.
Why use it?
It helps catch incomplete, out-of-scope, or unsupported implementations before a task is accepted. It requires evidence that the work was mechanically checked.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

This is akaghef/M3E's own configuration. It tells Codex how to work on M3E 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 M3E configures →

View source ↗ akaghef/M3E
Reuse

Borrowing it

Nothing to install: this file belongs to akaghef/M3E. 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/akaghef/M3E/main/.agents/skills/kiro-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/akaghef/M3E

Made for: 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 kiro-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/akaghef/m3e/kiro-review/github.svg)](https://agentmods.dev/skills/akaghef/m3e/kiro-review)
Your own site
<a href="https://agentmods.dev/skills/akaghef/m3e/kiro-review"><img src="https://agentmods.dev/badge/skills/akaghef/m3e/kiro-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 kiro-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/akaghef/m3e/kiro-review"><img src="https://agentmods.dev/badge/skills/akaghef/m3e/kiro-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,440 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 100% copy Near-identical to another mod 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 $0.00039 $0.01440
Opus 5.5 $0.00016 $0.00576
Sonnet 5.5 $0.00008 $0.00288
Haiku 4.5 $0.00004 $0.00144

Measured 5d ago against content hash c68435ab6e70, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kiro-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 5d 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.

Origin

This is a copy

100% identical to kiro-review — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/kiro-review/SKILL.md · 172 lines

How it starts

The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.

kiro-review

<background_information> This skill performs task-local adversarial review. It verifies that the implementation is real, complete, bounded, aligned with approved requirements and design, and supported by mechanical verification evidence.

Boundary terminology continuity:

  • discovery identifies Boundary Candidates
  • design fixes Boundary Commitments
  • tasks constrain execution with _Boundary:_
  • review rejects concrete Boundary Violations </background_information>
  • After an implementer reports READY_FOR_REVIEW
  • After remediation for a rejected review
  • Before marking a task [x]
  • Before accepting a task into feature-level validation

Do not use this skill to invent missing requirements or silently reinterpret the spec.

Inputs

Provide:

  • Task ID and exact task text from tasks.md
  • Relevant requirement section numbers
  • Relevant design section numbers
  • Spec file paths (requirements.md, design.md, optionally tasks.md)
  • The implementer's status report
  • The task _Boundary:_ scope constraints
  • Validation commands discovered by the controller
  • Relevant steering excerpts when applicable
  • Relevant ## Implementation Notes entries when applicable

Outputs

Return one of:

  • APPROVED
  • REJECTED

Also return:

  • Mechanical results
  • Findings with severity
  • Required remediation
  • One-sentence summary

Use the language specified in spec.json.

First Action

Run git diff to inspect the actual code changes. If the diff is large or ambiguous, read the changed files directly. Do not trust the implementer report as source of truth.

Core Principle

Read the spec yourself. Read the diff yourself. Verify mechanically where possible. Reject on concrete failures rather than interpretive optimism. The main review question is not just "does it work?" but "does it stay inside the approved responsibility boundary without hiding new coupling?"

Mechanical Checks

Run these checks and use the result as primary signal.

Read the full file on GitHub · 172 lines

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. 5d ago First seen · 172 lines · 39 tokens per session scan A c68435ab6e70

Subscribe to this mod's changes

kiro-review is a skill published in the GitHub repository akaghef/M3E (11 stars, last pushed 5d ago), licensed MIT. It adds 39 tokens to every session and 1,440 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to kiro-review, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

adk-go-self-review

Review an ADK Go change the way a maintainer will — a fresh-context pass over the whole diff, five lenses (correctness and tests, scope, simplicity, style, adk-python parity), and the mutation check that proves your tests pin the change. Use before opening a PR, before any later push that changes code, and when asked…

google/adk-go · 87 tokens

adversarial-reviewer

Stress-test a code change for concrete correctness defects, unsafe assumptions, and failure modes. Use when the user explicitly asks for an adversarial review, a deep bug hunt, or to tear a change apart. Do not use for ordinary review, style feedback, or general improvement suggestions.

emdash-cms/emdash · 62 tokens

go-testing

Trigger: Go tests, go test coverage, Bubbletea teatest, golden files. Apply focused Go testing patterns.

Gentleman-Programming/gentle-ai · 26 tokens

semgrep-rule-variant-creator

Creates language variants of existing Semgrep rules. Use when porting a Semgrep rule to specified target languages. Takes an existing rule and target languages as input, produces independent rule+test directories for each language.

waybarrios/opencode-power-pack · 50 tokens

brooks-sweep

Full-sweep mode: runs a unified analysis across all quality dimensions — code decay, architecture, tech debt, and test quality — then applies fixes directly to the codebase. Safe changes are auto-applied; risky changes are confirmed before execution. Drawing on twelve classic engineering books. Triggers when: user…

hyhmrright/brooks-lint · 178 tokens

include-test-files-that-assert-on-behavior-being-changed-in-decl

When delegating a task affected by this skill, include.

ZaxbyHub/opencode-swarm · 29 tokens