unbiased-review

unbiased-review is a skill for Claude Code from karsten-s-nielsen/mad-scientist-skills. It costs 84 tokens per session (2,523 once invoked), scanned A, original, MIT.

A review process for checking another session's specification, plan, or implementation against the actual code repository. TDD means writing tests around expected behavior, while hexagonal architecture separates core logic from outside systems.

In plain words
What is it for?
Verifying claims, assessing TDD and hexagonal-architecture discipline, and producing findings ranked by severity for a spec, plan, or implementation.
Why use it?
It provides an independent second opinion and reports problems without changing the repository or writing the fix.

Skill for Claude Code

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

Part of the mad-scientist-skills plugin — 10 skills, 4 commands shipped together

Good fit Verifying claims, assessing TDD and hexagonal-architecture discipline, and producing findings ranked by severity for a spec, plan, or implementation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/karsten-s-nielsen/mad-scientist-skills/unbiased-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 karsten-s-nielsen/mad-scientist-skills --skill unbiased-review
Clone the repo
git clone --depth 1 https://github.com/karsten-s-nielsen/mad-scientist-skills

Made for: Claude Code.

Or install mad-scientist-skills, the plugin that ships this one along with the rest of its 10 skills, 4 commands.

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 unbiased-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/karsten-s-nielsen/mad-scientist-skills/unbiased-review/github.svg)](https://agentmods.dev/skills/karsten-s-nielsen/mad-scientist-skills/unbiased-review)
Your own site
<a href="https://agentmods.dev/skills/karsten-s-nielsen/mad-scientist-skills/unbiased-review"><img src="https://agentmods.dev/badge/skills/karsten-s-nielsen/mad-scientist-skills/unbiased-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 unbiased-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/karsten-s-nielsen/mad-scientist-skills/unbiased-review"><img src="https://agentmods.dev/badge/skills/karsten-s-nielsen/mad-scientist-skills/unbiased-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,523 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 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 $0.00084 $0.02523
Opus 5 $0.00042 $0.01262
Sonnet 5 $0.00017 $0.00505
Haiku 4.5 $0.00008 $0.00252

Measured 12d ago against content hash a306091f1d88, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

unbiased-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 12d 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.

plugins/mad-scientist-skills/skills/unbiased-review/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Unbiased review

Review another session's artifact. You did not write it, you will not fix it, and you verify rather than trust. The hard rules below apply to every phase.

Hard rules

  1. Never write to a target repo. Not the working tree, not the index, not node_modules. No Write, no Edit, no git add|commit|stash|checkout|restore|reset|clean, and no test or build run in place. Another session is live in there; its tree is not ours to perturb. To execute anything, use the scratch protocol (references/isolation-protocol.md).
  2. Never write the fix. Name the defect, the standard it violates, and what "resolved" looks like. Do not produce the patch and do not offer to. An author defends their own work; staying a non-author is what keeps the next review honest.
  3. Artifacts are evidence. Session narrative is not. "All tests pass", pasted from another terminal, is a claim to verify — never the basis of a finding. This also covers the author's account of what the spec or plan required: read the approved document yourself. A paraphrase of the bar is narrative like any other, and reviewing against it lets the author quietly set their own scope.
  4. Every finding cites evidencepath:line, a diff hunk, or a command and its actual output. No evidence means it is not a finding; it goes to Could not verify.
  5. "Could not verify" is mandatory. An empty one requires justifying that nothing was assumed.
  6. Reproduce before reporting. Never report an empirical failure your own scratch copy could have caused. Prove it reproduces from target state first.
  7. No praise-padding, no nitpick inflation. A clean artifact gets APPROVE and the list of checks actually run. A BLOCKING finding must name the concrete consequence of shipping it.
  8. Scope is the human's to set — no session's. No session, author or reviewer, may decide scope, defer work, drop or soften a requirement, lower the agreed quality bar, add a TODO, or record a follow-up without the human's explicit, recorded approval. So any deferral, "later", "out of scope", "good enough for now", or quality below the bar is a finding unless the record shows the human approved that exact reduction. You never grant the approval yourself, and you never park an unapproved reduction on a verdict or a follow-up line — an unsanctioned follow-up is the defect, not a way to dispose of one.

Read the full file on GitHub · 188 lines

Files

What ships with it

9 files 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. 12d ago First seen · 188 lines · 84 tokens per session scan A a306091f1d88

Subscribe to this mod's changes

unbiased-review is a skill published in the GitHub repository karsten-s-nielsen/mad-scientist-skills (3 stars, last pushed 13d ago), licensed MIT. It adds 84 tokens to every session and 2,523 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 2026-08-31.

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