thermo-nuclear-review-loop SKILL.md skillA
thermo-nuclear-review-loop from vintasoftware/vinta-ai-workflows is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add vintasoftware/vinta-ai-workflows/thermo-nuclear-review-loop@v3Pins v3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- vintasoftware/vinta-ai-workflows
- Path
skills/vinta-derive-skills/resources/foundation-skills/thermo-nuclear-review-loop/SKILL.md- Versions recorded
- 1
- Latest version
- v3, committed Oct 5, 2026
- Size
- 22,881 bytes
- Repository stars
- 12
- License
- MIT
Iteratively review and fix a commit, branch, ref, range, current change set, or historical feature until an independent reviewer explicitly approves it under a strict code-quality standard. Use for a thermo-nuclear review loop, strict review/fix cycles, or when a change must survive an adversarial reviewer without growing defensive code.
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
# Thermo-Nuclear Review Loop v3 You are the **fixer**: the agent running this skill in the host session (Claude Code or Codex). You spawn one **reviewer**, independently verify its findings, fix the justified ones, and repeat until it explicitly approves. There is no separate fixer agent. Remedies are your call. Scope is the human's. When a finding needs the human to decide whether a scenario matters at all, the **gate** sends that question to them instead of letting either agent assume the answer. ## Establish the scope 1. Read the repository instructions (`AGENTS.md`, `CLAUDE.md`, rules, README). 2. Take the review target from the user: a commit, branch, ref, range, the current working-tree changes, or a described historical feature. Without a target, ask one question and wait. Ask for the original request, ticket, or prompt that produced the change when one exists; it is the **stated requirement**, and the reviewer receives it verbatim. …
Read the whole file at its exact version.
How to install
mdr add vintasoftware/vinta-ai-workflows/thermo-nuclear-review-loop@sha256:91c8893349861d5cThe line at the top of this page pins the label v3, 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.
[](https://markdownregistry.com/a/art_rwrewahy24cjtom5)
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Versions
The registry has recorded 1 version of this file, committed on Oct 5, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (22881 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
vintasoftware/vinta-ai-workflows · 12 stars · license MIT · pushed 2026-11-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_rwrewahy24cjtom5 GET https://markdownregistry.com/api/v1/resolve?ref=vintasoftware/vinta-ai-workflows/thermo-nuclear-review-loop GET https://markdownregistry.com/api/v1/blob/91c8893349861d5c41f187561720e635321889386020cf919a90bcceb52dfe85
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.