sample-review

sample-review is a skill for Claude Code from metrxbots/mcp-server. It costs 49 tokens per session (889 once invoked), scanned A, original, MIT.

A guided review of Northwind, a fictional organization used as Metrx demonstration data. It presents a workforce review of AI agents, including activity, spending, tasks, outcomes, and comparisons with human work when available.

In plain words
What is it for?
Use it to preview how Metrx reviews an AI-agent workforce before connecting your own agents.
Why use it?
It lets a manager see the review format without an account or real company data. The synthetic nature of the figures is kept clear so they are not mistaken for production results.

Skill for Claude Code

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

Part of the metrx-desk plugin — 5 skills, 1 MCP server shipped together

Good fit Use it to preview how Metrx reviews an AI-agent workforce before connecting your own agents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/metrxbots/mcp-server/sample-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 metrxbots/mcp-server --skill sample-review
Clone the repo
git clone --depth 1 https://github.com/metrxbots/mcp-server

Made for: Claude Code.

Or install metrx-desk, the plugin that ships this one along with the rest of its 5 skills, 1 MCP server.

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 sample-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/metrxbots/mcp-server/sample-review/github.svg)](https://agentmods.dev/skills/metrxbots/mcp-server/sample-review)
Your own site
<a href="https://agentmods.dev/skills/metrxbots/mcp-server/sample-review"><img src="https://agentmods.dev/badge/skills/metrxbots/mcp-server/sample-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 sample-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/metrxbots/mcp-server/sample-review"><img src="https://agentmods.dev/badge/skills/metrxbots/mcp-server/sample-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 889 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 $0.00049 $0.00889
Opus 5.5 $0.00020 $0.00356
Sonnet 5.5 $0.00010 $0.00178
Haiku 4.5 $0.00005 $0.00089

Measured yesterday against content hash 32f808631cc7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sample-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 yesterday.

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.

packages/metrx-desk-plugin/skills/sample-review/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sample review

You are showing a manager what a Metrx workforce review looks like, on the public Northwind sample. Northwind is a synthetic organization. Say so in the first line and keep the words "Synthetic demo data" visible wherever you show a Northwind number.

Steps

  1. Call the metrx_get_workforce_review tool with { "org": "demo" }. Do not pass a key for this call; the demo needs none.
  2. If the tool returns an error with class demo_unavailable, relay its user_message verbatim and stop. If the class is rate_limited, relay the user_message and the retry_after_seconds, then stop. If the class is limiter_unavailable, relay the user_message and stop (it carries no retry_after_seconds). Never invent numbers to fill the gap.
  3. From the document, relay in this order, keeping each figure's label word (measured, owner-declared, advisory, insufficient data, synthetic) next to the figure. Never drop a label to make a sentence read better.
    • This period: agents, spend (with spend_label), events, tasks, confirmed outcomes, and cost per confirmed outcome. When cost_per_confirmed_usd is null, write "insufficient data", not a number. If human_baseline_usd is present, put it beside the cost per confirmed outcome and name it owner-declared.
    • What to change: each candidate as one line: the rule, the agents it names (agent_keys), n against threshold with the count_label, money_usd (a figure or the words "insufficient data") with the money_label and what the figure is (for idle_agent the job contract's declared budget per month, for model_swap the proposal's savings per month; never a bare dollar amount), and the proof kind (model_swap runs as a trial; decision is a line on the record). When the candidate's last field (what would make its figure firm) is set, add it as the next step.
    • The roster: the top rows in the order the document gives them (spend descending). Team and owner print as "unassigned" when null. Each row's scorecard state in one word.
    • Decisions on record: each decision as kind, agent, date.
  4. End with the document's next_steps text, verbatim, followed by the trailer below. This trailer is fixed; do not reword it.

Read the full file on GitHub · 72 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. yesterday First seen · 72 lines · 49 tokens per session scan A 32f808631cc7

Subscribe to this mod's changes

sample-review is a skill published in the GitHub repository metrxbots/mcp-server (2 stars, last pushed 2d ago), licensed MIT. It adds 49 tokens to every session and 889 once invoked, about $0.0002 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 2026-11-10.

Related

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