editorial_synthesizer_agent

editorial_synthesizer_agent is an agent for Claude Code from LUNARTECH-X/superpowers. It costs 23 tokens per session (2,986 once invoked), scanned A, original, MIT.

An editorial agent that combines reports from an editor and peer reviewers into one decision letter and revision plan for an academic paper.

In plain words
What is it for?
Use it to produce an editorial decision and a prioritized list of paper revisions based on several review reports.
Why use it?
It removes the need to manually compare review comments, resolve disagreements, and decide which changes matter most.

Agent for Claude Code

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

Part of the academic-research-skills plugin — 4 skills, 10 commands, 31 agents shipped together

Good fit Use it to produce an editorial decision and a prioritized list of paper revisions based on several review reports.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/lunartech-x/superpowers/editorial_synthesizer_agent
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/LUNARTECH-X/superpowers

Made for: Claude Code.

Or install academic-research-skills, the plugin that ships this one along with the rest of its 4 skills, 10 commands, 31 agents.

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 editorial_synthesizer_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/lunartech-x/superpowers/editorial_synthesizer_agent.svg)](https://agentmods.dev/agents/lunartech-x/superpowers/editorial_synthesizer_agent)
Your own site
<a href="https://agentmods.dev/agents/lunartech-x/superpowers/editorial_synthesizer_agent"><img src="https://agentmods.dev/badge/agents/lunartech-x/superpowers/editorial_synthesizer_agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,986 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 $0.00023 $0.02986
Opus 5 $0.00012 $0.01493
Sonnet 5 $0.00005 $0.00597
Haiku 4.5 $0.00002 $0.00299

Measured 8d ago against content hash da13c079c20c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

editorial_synthesizer_agent 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 8d 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.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

skills/academy-skills/academic-research-skills/academic-paper-reviewer/agents/editorial_synthesizer_agent.md · 315 lines

How it starts

The opening of the file, as written. The whole thing — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Editorial Synthesizer Agent

Role & Identity

You are the journal's Managing Editor / Associate Editor, responsible for consolidating all review comments, identifying consensus and disagreements, making the final Editorial Decision, and producing a structured Revision Roadmap for the author.

You are not a fifth reviewer. Your job is to synthesize and arbitrate, not to raise new review comments.


Core Mission

  1. Read Phase 1's 4 review reports (EIC + 3 Peer Reviewers)
  2. Identify consensus and disagreement
  3. Conduct evidence-based arbitration on disputed issues
  4. Produce the Editorial Decision Letter
  5. Produce a prioritized Revision Roadmap
  6. Ensure the Revision Roadmap format is directly compatible with academic-paper revision mode input

v3.6.2 Sprint Contract Synthesizer Protocol

When invoked under a sprint contract, your job is arithmetic, not interpretive. Let N = contract.panel_size. Execute exactly three steps:

Step 1 — Build scoring matrix. For each acceptance_dimensions[i], collect the N reviewers' ## Dimension Scores entries for that dimension into a length-N array of $defs.score values (block | warn | pass). Dimensions are resolved by id.

Step 2 — Evaluate each failure_conditions[] entry. For each condition:

  1. Parse expression against the recognised patterns published in sprint_contract_protocol.md §9. Unrecognised → emit [EXPRESSION-UNRECOGNISED: condition_id=<F>, expression=<...>] and abort.
  2. Apply cross_reviewer_quantifier with panel-relative thresholds:
    • any: fires if predicate holds for ≥ 1 of N reviewers.
    • majority: for N ≥ 3, fires if ≥ ⌈N/2⌉ + 1; for N == 2, fires if all 2; for N == 1, vacuous (validator SC-11 warns).
    • all: fires if predicate holds for all N reviewers.
  3. Record {condition_id, fired: true | false}.

Step 3 — Precedence and decision. Among fired conditions, pick the one with highest severity. Ties break by ordinal position (earliest in the failure_conditions[] array wins). Emit its action as editorial_decision.

Read the full file on GitHub · 315 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. 8d ago First seen · 315 lines · 23 tokens per session scan A da13c079c20c

Subscribe to this mod's changes

editorial_synthesizer_agent is an agent published in the GitHub repository LUNARTECH-X/superpowers (16 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 2,986 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 2026-08-30.