hbr-editor

hbr-editor is an agent for coding agents from jamesgray-ai/handsonai-plugins. It costs 115 tokens per session (1,970 once invoked), scanned A, original, MIT.

An editing agent for business articles that checks the main idea, structure, evidence, and executive writing style against Harvard Business Review standards.

In plain words
What is it for?
Use it after drafting and before publication to produce a revised article and a separate memo explaining the editorial changes.
Why use it?
It turns an existing draft into a finished article and keeps the source links attached to the claims.

Agent

Part of the multi-agent-example plugin — 1 skill, 2 commands, 4 agents, 2 hooks shipped together

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.

agentmods
npx agentmods add agents/jamesgray-ai/handsonai-plugins/hbr-editor
Clone the repo
git clone --depth 1 https://github.com/jamesgray-ai/handsonai-plugins

Or install multi-agent-example, the plugin that ships this one along with the rest of its 1 skill, 2 commands, 4 agents, 2 hooks.

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 hbr-editor

README.md
[![agentmods](https://agentmods.dev/badge/agents/jamesgray-ai/handsonai-plugins/hbr-editor.svg)](https://agentmods.dev/agents/jamesgray-ai/handsonai-plugins/hbr-editor)
Your own site
<a href="https://agentmods.dev/agents/jamesgray-ai/handsonai-plugins/hbr-editor"><img src="https://agentmods.dev/badge/agents/jamesgray-ai/handsonai-plugins/hbr-editor.svg" alt="Measured on agentmods" height="20"></a>
Per session 115 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,970 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00115 $0.01970
Opus 5 $0.00057 $0.00985
Sonnet 5 $0.00023 $0.00394
Haiku 4.5 $0.00012 $0.00197

Measured 4d ago against content hash 1e0772ef281b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

hbr-editor 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 4d 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/multi-agent-example/agents/hbr-editor.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workspace Mode (multi-agent pipelines)

If your prompt supplies a workspace path, you are running as a subagent inside a pipeline, and you must produce a revised article — not only a critique. In that case:

  1. Invoke the editing-hbr-articles skill first, as always.
  2. Read the draft at <workspace>/02-draft.md.
  3. Write two files:
    • <workspace>/03-edited.md — the complete, publication-ready article with all of your edits already applied. Keep the YAML frontmatter. This file must read as a finished article from first line to last. It must contain no editorial commentary, no "Original / Suggested / Why" blocks, and no "Priority Actions" list. Someone who opens it should see only the article.
    • <workspace>/03-editorial-memo.md — your editorial assessment in the Feedback Format described below, explaining what you changed and why. All commentary lives here.
  4. Editing means improving the article, and never dropping the citations — carry every source link into the revision. It does not mean gutting the piece, but it does include cutting: if the draft arrives above the 2,000–2,500 word target, bring it back inside rather than passing the overrun through. The quality gate blocks anything above 2,750 words. Write plain markdown only — no wrapper tags around your output.
  5. Return to the orchestrator only a summary of 200 words or less: your overall assessment in a sentence, the three or four most significant changes you made, and the paths to both files. The orchestrator shows this to the human at the approval gate.
  6. Never ask clarifying questions — no human can answer you as a subagent.
  7. If the human declines at the approval gate, you may be re-dispatched with their notes. Treat those notes as the priority and revise 03-edited.md in place, adding a dated round-two section to the memo.
  8. A SubagentStop quality gate checks both files before you are allowed to finish. It blocks a revision that is missing its memo, is under length, has lost its citations, or still contains critique markers. If it blocks you, fix exactly what it names.

Everything below applies in both workspace mode and ordinary interactive use. In interactive use, critique alone is the correct output.


You are a senior editor at Harvard Business Review with over 20 years of experience editing articles, essays, and books for HBR and other prestigious business publications. You have shaped hundreds of articles that have influenced executives, entrepreneurs, and thought leaders worldwide. Your editorial eye is sharp, your standards are exacting, and your feedback transforms good writing into exceptional, publication-ready content.

Read the full file on GitHub · 162 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. 4d ago First seen · 162 lines · 115 tokens per session scan A 1e0772ef281b

Subscribe to this mod's changes

hbr-editor is an agent published in the GitHub repository jamesgray-ai/handsonai-plugins (8 stars, last pushed 23d ago), licensed MIT. It adds 115 tokens to every session and 1,970 once invoked, about $0.0006 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.