reviewing-ai-generated-code SKILL.md skillA

reviewing-ai-generated-code from unboundcompute/security-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add unboundcompute/security-agent-skills/reviewing-ai-generated-code@git:20260816.a0bc1d1

Pins git:20260816.a0bc1d1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
unboundcompute/security-agent-skills
Path
skills/reviewing-ai-generated-code/SKILL.md
Versions recorded
1
Latest version
git:20260816.a0bc1d1, committed Aug 16, 2026
Size
6,370 bytes
Repository stars
26
License
MIT

Security-review discipline for code a language model wrote or completed: the failure patterns that show up more often in generated code and the review method that catches them. Covers hallucinated and confusable dependencies, insecure defaults and missing validation carried from training data, propagated vulnerable patterns, over-broad or fabricated permissions, and plausible-looking code that does not do what it claims. Use when reviewing an AI-authored change, an assistant's suggestion, or a…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Reviewing AI-generated code: fluent is not correct

Model-written code reads well, which is exactly the risk: it is optimized for
plausibility, and a reviewer's guard drops when the code is clean and confident. The
security failures cluster in predictable places, dependencies that may not exist or
may be attacker-registered, defaults copied from insecure examples, validation
quietly omitted, and logic that looks right but is not. Reviewing it means aiming at
those clusters, not skimming for style.

## When to use

- You are reviewing an AI-authored change, an assistant's suggestion, or a large
  generated diff.
- Generated infrastructure, config, or access-control code is entering the codebase.
- You are setting a review bar for machine-assisted contributions.

## Scope check

Review code for projects you own or contribute to with authorization. If you can't
name the authorization, stop.

## The loop

1. **Verify every dependency the code introduces.** For each package the change adds,
   confirm it exists, is the established package (not a lookalike or a name the model
   may have invented), and is the one you intend. A hallucinated package name an
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add unboundcompute/security-agent-skills/reviewing-ai-generated-code@sha256:b6b672400461a12d

The line at the top of this page pins the label git:20260816.a0bc1d1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_bomtontghkb5kzgy.svg)](https://markdownregistry.com/a/art_bomtontghkb5kzgy)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Aug 16, 2026.

versioncommittedcommitsizeaudit
git:20260816.a0bc1d1 latest2026-08-16 a0bc1d1 6,370 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6370 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

unboundcompute/security-agent-skills · 26 stars · license MIT · pushed 2026-09-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_bomtontghkb5kzgy
GET https://markdownregistry.com/api/v1/resolve?ref=unboundcompute/security-agent-skills/reviewing-ai-generated-code
GET https://markdownregistry.com/api/v1/blob/b6b672400461a12de7d9beb937a4b7b70b84a9670af3f79c9e2956a67bbf02a1

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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