prompt-review

prompt-review is a command for Claude Code from NVZver/claude-marketplace. It costs 22 tokens per session (1,076 once invoked), scanned A, original, MIT.

A command for scanning prompt files for instruction, structure, duplication, simplicity, and context-size problems.

In plain words
What is it for?
Use it to review one prompt, a directory of prompt files, or a wider set of agents and commands.
Why use it?
It finds problems without editing files and requires each reported issue to be tied to a stated project rule.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the prompt-engineer plugin — 3 commands, 1 agent shipped together

Good fit Use it to review one prompt, a directory of prompt files, or a wider set of agents and commands.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/nvzver/claude-marketplace/prompt-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/NVZver/claude-marketplace

Made for: Claude Code.

Or install prompt-engineer, the plugin that ships this one along with the rest of its 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 prompt-review

README.md
[![agentmods](https://agentmods.dev/badge/commands/nvzver/claude-marketplace/prompt-review/github.svg)](https://agentmods.dev/commands/nvzver/claude-marketplace/prompt-review)
Your own site
<a href="https://agentmods.dev/commands/nvzver/claude-marketplace/prompt-review"><img src="https://agentmods.dev/badge/commands/nvzver/claude-marketplace/prompt-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 prompt-review

Your own site · 80×15
<a href="https://agentmods.dev/commands/nvzver/claude-marketplace/prompt-review"><img src="https://agentmods.dev/badge/commands/nvzver/claude-marketplace/prompt-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,076 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 $0.00022 $0.01076
Opus 5 $0.00011 $0.00538
Sonnet 5 $0.00004 $0.00215
Haiku 4.5 $0.00002 $0.00108

Measured 11d ago against content hash 8d8a9e34420f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

prompt-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 11d 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.

prompt-engineer/commands/prompt-review.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Trace. On load, print first: =============== [prompt-engineer/commands/prompt-review.md] [prompt-engineer] ===============

Prompt Review

Goal: Scan target prompts and report ground rule violations.

Input: $ARGUMENTS (file path, directory, or glob pattern)

Constraints:

  • Do NOT modify any files
  • Do NOT report issues without citing the violated rule number

Steps

  1. Read knowledge files: ../knowledge/actor-ground-rules.md, ../knowledge/quality-checks.md, ../knowledge/separation-of-concerns.md → checklist loaded
  2. Resolve target:
    • File path → single file
    • Directory → find all .md files with prompt frontmatter (has name: or description: in YAML)
    • No target → ask: "(A) all agents, (B) all commands, (C) specific path"
  3. For each file, check: a. Separation of concerns per knowledge/separation-of-concerns.md → boundary violations = HIGH b. Actor ground rules 1 + 3 per knowledge/actor-ground-rules.md: Goal, Input, Steps, Output (rule 1) and Constraints (rule 3) sections exist → missing = HIGH c. Role (rule 2): agents have Role, commands do not → violation = MEDIUM d. Steps (rule 5): each step has observable result → vague steps = MEDIUM e. Example Output (rule 10): section exists with synthetic example → missing = HIGH — unless the actor cites a leaner contract (core/actor-template, lsa/CORE.md §4) per actor-ground-rules.md §Scope; then exempt (no finding) f. Output spec (rule 4): format and length defined → missing = MEDIUM g. Wording (rule 9): check for adverbs, hedging, filler, passive voice → each = LOW h. Assumptions (rule 7): check for unverified claims ("probably", "likely", "usually") → each = MEDIUM i. Apply KISS/DRY checks per knowledge/quality-checks.md → each = MEDIUM j. Apply AI Over-Engineering checks per knowledge/quality-checks.md → formalized common sense, reinvented paradigms, arbitrary thresholds = MEDIUM; example bloat, missing paradigm provenance = LOW k. Apply Context Budget checks per knowledge/quality-checks.md → restating/mergeable = MEDIUM, padding = LOW l. Show-changes-inline (author-time, core/output Rule 7) — WARNING-ONLY: in prompt SOURCE files (**/SKILL.md, **/agents/*.md), flag any step body that describes a write/edit/mark action (verbs: write/edit/append/replace/mark/update/create a file) WITHOUT an accompanying show-changes-inline directive (an instruction to quote the changed content inline, or a file:line cite of core/output Rule 7 / its Single-change template). This catches the omission in the prompt source before the skill ships (see ../../core/skills/output/SKILL.md §"How this gets enforced"). Each hit = WARNING (signal, not gate), cited as <file>:<line> + the write-verb + "no show-changes directive". Steps that only read, dispatch, or present (no artifact write) are exempt. m. Example Output consistency (rule 11): where an ## Example Output section exists, the example matches the declared Output format and length → mismatch = MEDIUM
  4. Compile all findings — re-derive contested judgment calls per ../knowledge/quality-checks.md §Severity Levels (self-consistency: drop findings that do not recur) → output table

Read the full file on GitHub · 59 lines

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. 11d ago First seen · 59 lines · 22 tokens per session scan A 8d8a9e34420f

Subscribe to this mod's changes

prompt-review is a command published in the GitHub repository NVZver/claude-marketplace (1 stars, last pushed 17d ago), licensed MIT. It adds 22 tokens to every session and 1,076 once invoked, about $0.0001 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.