editorial-review

editorial-review is a skill for Claude Code from mishahanin/heading-os-marketplace. It costs 71 tokens per session (1,577 once invoked), scanned A, a copy of editorial-review, Apache-2.0.

A structural review of a finished long draft that examines its sections, argument order, evidence links, repetition, and missing material. It suggests edits without rewriting the sentences.

In plain words
What is it for?
Use it to propose moving, cutting, merging, condensing, splitting, or adding sections in a complete but poorly organized draft.
Why use it?
It helps find problems in the draft’s overall organization before spending time polishing the wording.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the heading-ops plugin — 3 skills shipped together

Good fit Use it to propose moving, cutting, merging, condensing, splitting, or adding sections in a complete but poorly organized draft.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add mishahanin/heading-os-marketplace
Claude Code
/plugin install heading-ops

Made for: Claude Code.

Or install heading-ops, the plugin that ships this one along with the rest of its 3 skills.

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-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/mishahanin/heading-os-marketplace/editorial-review/github.svg)](https://agentmods.dev/skills/mishahanin/heading-os-marketplace/editorial-review)
Your own site
<a href="https://agentmods.dev/skills/mishahanin/heading-os-marketplace/editorial-review"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os-marketplace/editorial-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 editorial-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/mishahanin/heading-os-marketplace/editorial-review"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os-marketplace/editorial-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,577 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 91% copy Near-identical to another mod 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 $0.00071 $0.01577
Opus 5 $0.00036 $0.00788
Sonnet 5 $0.00014 $0.00315
Haiku 4.5 $0.00007 $0.00158

Measured 12d ago against content hash a8792bfb5095, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

editorial-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 12d 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

This is a copy

91% identical to editorial-review — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/heading-ops/skills/editorial-review/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Editorial Review (structural pass)

Critique and tighten a long deliverable's argument architecture — then hand the prose off to the humanization layer. This skill operates on structure only; it never rewrites sentences and never challenges the ideas.

The full method (document arcs, operation vocabulary, defect checklist, the hard boundary with humanization.md) lives in reference/editorial-review.md. Load it; do not restate it here.


Phase 0: Load context

  1. Read reference/editorial-review.md (the document-model arcs, the operation vocabulary, the defect checklist, the boundary table).
  2. Read .claude/rules/humanization.md and confirm the boundary. This skill stops at the paragraph. Everything below it belongs to that rule: rhythm, specificity, banned vocabulary, and the calibration gate.
  3. Read the target document in full (the file:<path> argument, or the pasted text). Never review a draft you have only skimmed.

Phase 1: Structural pass

  1. Select one document model from reference/editorial-review.md (proposal arc, intel-brief arc, investor-narrative arc, argument/decision-note arc, or a generic model). State the choice and its primary rule in one sentence. The form is "This deliverable should follow the {model}; its primary rule is {rule}."
  2. Map the structure — list each major section with an approximate word count. This forces measurement before recommendation.
  3. Walk the defect checklist. It covers the orphan section, claim-without-evidence, evidence-without-claim, the buried lede, and flat hierarchy. It also covers redundant paragraphs, missing scaffolding, no document-level stance, and scope violation.
  4. Emit findings. Tag each with exactly one operation, a one-sentence rationale, and a word-impact estimate. The operations are CUT, MERGE, MOVE, CONDENSE, SPLIT, ADD, PROMOTE, DEMOTE, PRESERVE, and QUESTION. PRESERVE protects comprehension aids from over-cutting, because summaries and examples are reinforcement, not redundancy.
  5. Close with the summary block. It carries total recommendations, estimated reduction with its percentage of the original, the meets-length-target verdict, and comprehension trade-offs.
  6. Optional — pull a critique method. For a hard restructure, run python "${CLAUDE_PLUGIN_ROOT}"/scripts/elicit.py show "Critique and Refine" or "Red Team vs Blue Team" from the shared elicitation catalog. Apply it to the argument arc. Skip it when the checklist already bites.
  7. APPROVAL GATE. Present the findings. Apply NO structural edit until the CEO approves (per .claude/rules/voice.md: no structural changes without approval). "No substantive changes recommended — the structure is sound" is a valid, explicit completion. On approval, apply only the approved operations, editing structure (move/cut/merge/condense), never wording.

Read the full file on GitHub · 103 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 103 lines · 71 tokens per session scan A a8792bfb5095

Subscribe to this mod's changes

editorial-review is a skill published in the GitHub repository mishahanin/heading-os-marketplace (2 stars, last pushed 5d ago), licensed Apache-2.0. It adds 71 tokens to every session and 1,577 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to editorial-review, differing in 6 lines, and is treated as a copy.

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