manuscript-review

manuscript-review is a skill for Claude Code, Codex from semoji-ai/auto_kairos. It costs 34 tokens per session (1,586 once invoked), scanned A, original, no licence file.

A scoring process for reviewing a finished manuscript from the viewer’s perspective and from a content expert’s perspective, using an editorial brief to weight the assessment.

In plain words
What is it for?
Use it to evaluate completed scripts or other manuscripts and produce a score based on audience impact and content quality.
Why use it?
It provides a structured way to judge whether a manuscript meets its intended content and editorial goals.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: model in frontmatter.

Good fit Use it to evaluate completed scripts or other manuscripts and produce a score based on audience impact and content quality.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/semoji-ai/auto_kairos/manuscript-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 semoji-ai/auto_kairos --skill manuscript-review
Clone the repo
git clone --depth 1 https://github.com/semoji-ai/auto_kairos

Made for: Claude Code, Codex.

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 manuscript-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/semoji-ai/auto_kairos/manuscript-review/github.svg)](https://agentmods.dev/skills/semoji-ai/auto_kairos/manuscript-review)
Your own site
<a href="https://agentmods.dev/skills/semoji-ai/auto_kairos/manuscript-review"><img src="https://agentmods.dev/badge/skills/semoji-ai/auto_kairos/manuscript-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 manuscript-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/semoji-ai/auto_kairos/manuscript-review"><img src="https://agentmods.dev/badge/skills/semoji-ai/auto_kairos/manuscript-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,586 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 unknown 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 $0.00034 $0.01586
Opus 5.5 $0.00014 $0.00634
Sonnet 5.5 $0.00007 $0.00317
Haiku 4.5 $0.00003 $0.00159

Measured 2mo ago against content hash 45a21ac3faf6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

manuscript-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 2mo 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.

adobe/skills/manuscript-review/SKILL.md · 110 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2mo ago First seen · 110 lines · 34 tokens per session scan A 45a21ac3faf6

Subscribe to this mod's changes

manuscript-review is a skill published in the GitHub repository semoji-ai/auto_kairos (5 stars, last pushed 2d ago), with no licence file. It adds 34 tokens to every session and 1,586 once invoked, about $0.0001 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 2026-08-31.

Related

manuscript-review compared with skills from other repositories

manuscript-review next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
manuscript-reviewsemoji-ai/auto_kairosSkill52d agononeA34Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code