pedantic-review

pedantic-review is a command for Claude Code from oborchers/fractional-cto. It costs 28 tokens per session (269 once invoked), scanned A, original, MIT.

A command for reviewing the code currently being worked on against a set of detailed code-quality principles. It reports specific violations, suggested fixes, compliant areas, severity totals, priorities, and an overall score.

In plain words
What is it for?
Use it during development to review the current changes for naming, casing, imports, structure, dead code, and related consistency problems.
Why use it?
It replaces vague requests for cleaner code with findings tied to named principles and exact file or line locations. It can also apply language-specific checks for Python, TypeScript, and Go.

Command for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the pedantic-coder plugin — 16 skills, 3 commands, 1 agent shipped together

Good fit Use it during development to review the current changes for naming, casing, imports, structure, dead code, and related consistency problems.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/oborchers/fractional-cto/pedantic-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.

Clone the repo
git clone --depth 1 https://github.com/oborchers/fractional-cto

Made for: Claude Code.

Or install pedantic-coder, the plugin that ships this one along with the rest of its 16 skills, 3 commands, 1 agent.

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 pedantic-review

README.md
[![agentmods](https://agentmods.dev/badge/commands/oborchers/fractional-cto/pedantic-review/github.svg)](https://agentmods.dev/commands/oborchers/fractional-cto/pedantic-review)
Your own site
<a href="https://agentmods.dev/commands/oborchers/fractional-cto/pedantic-review"><img src="https://agentmods.dev/badge/commands/oborchers/fractional-cto/pedantic-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 pedantic-review

Your own site · 80×15
<a href="https://agentmods.dev/commands/oborchers/fractional-cto/pedantic-review"><img src="https://agentmods.dev/badge/commands/oborchers/fractional-cto/pedantic-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 269 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 $0.00028 $0.00269
Opus 5.5 $0.00011 $0.00108
Sonnet 5.5 $0.00006 $0.00054
Haiku 4.5 $0.00003 $0.00027

Measured 5d ago against content hash ee6a9cd1bdb8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pedantic-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.

pedantic-coder/commands/pedantic-review.md · 27 lines

What it actually says

Review the code currently being worked on against the pedantic-coder principles.

Follow this process:

  1. Identify which pedantic areas are relevant to the current context (naming, casing, imports, structure, etc.)
  2. For each relevant area, invoke the corresponding pedantic-coder skill
  3. Evaluate the current code against each skill's review checklist
  4. If the code is in Python, TypeScript, or Go, also invoke the corresponding language pack skill
  5. Report findings organized by principle, using this format for each:

[Principle Name]

  • Violations found (with specific file/line references)
  • What to fix and how
  • Items that already comply
  1. Provide a summary with:
    • Total violations count by severity (critical / important / nitpick)
    • Top 3 most impactful fixes to make first
    • Overall pedantry score (pristine / clean / acceptable / messy / catastrophic)

Focus on concrete, specific violations. Every finding must reference the exact principle being violated. No vague "consider improving" — state what is wrong and what the fix is.

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 · 27 lines · 28 tokens per session scan A ee6a9cd1bdb8

Subscribe to this mod's changes

pedantic-review is a command published in the GitHub repository oborchers/fractional-cto (32 stars, last pushed 5d ago), licensed MIT. It adds 28 tokens to every session and 269 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-13.