New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Technical Manuscript Verification

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Verify technical nonfiction manuscripts for runnable accuracy, including commands, configuration, code snippets, links, version drift, screenshots, prerequisites, security warnings, expected…

MITAuto-check passedResearch & Science

Install Technical Manuscript Verification

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill technical-manuscript-verification -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins technical-manuscript-verification --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/technical-manuscript-verification .claude/skills/technical-manuscript-verification && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
technical-manuscript-verification
GitHub stars
1.2k
Token cost
~945 tokens
SKILL.md length
369 words
Files
7 (incl. references)
Skills in repo
686
Repo updated
First seen
Licence
MIT

At a glance

Verify technical nonfiction manuscripts for runnable accuracy, including commands, configuration, code snippets, links, version drift, screenshots, prerequisites, security warnings, expected…

  • Works in 5 steps: Define The Verification Scope → Build An Evidence Table → Verify Against Real Or Simulated… → …
  • Auditing self-hosting
  • SKILL.md covers Core Lens, Reference Routing, Workflow and Output Format, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Technical Manuscript Verification is an agent skill from hashgraph-online/awesome-codex-plugins. Verify technical nonfiction manuscripts for runnable accuracy, including commands, configuration, code snippets, links, version drift, screenshots, prerequisites, security warnings, expected outputs, and reproducibility. Use when auditing self-hosting, DevOps, programming, infrastructure, data, security, or software tutorial drafts before beta reading, publication, or release.

Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `agents/openai.yaml`, `references/core/checklist.md` and `references/core/examples.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

It sits in Research & Science, covering Reproducible research. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • Auditing self-hosting
  • Software tutorial drafts before beta reading

Example prompts

  • “/technical-manuscript-verification”

Requirements

  • Docker
  • Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Define The Verification Scope
  2. Build An Evidence Table
  3. Verify Against Real Or Simulated Environments
  4. Classify Findings By Reader Risk
  5. Return Fixes The Author Can Apply

What it can do on your machine

Read from SKILL.md and the folder at commit 78497e5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Codex, Claude Code, and other Agent Skills-compatible clients.

    From compatibility in the SKILL.md frontmatter.

Context cost

Technical Manuscript Verification loads about 945 tokens when it runs, and up to ~4k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 369 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~103
When it runs · the whole SKILL.md, loaded when a task matches
~945
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its MIT licence (© hashgraph-online). 369 words, ~945 tokens.

Download SKILL.mdSave it as .claude/skills/technical-manuscript-verification/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
technical-manuscript-verification
description
Verify technical nonfiction manuscripts for runnable accuracy, including commands, configuration, code snippets, links, version drift, screenshots, prerequisites, security warnings, expected outputs, and reproducibility. Use when auditing self-hosting, DevOps, programming, infrastructure, data, security, or software tutorial drafts before beta reading, publication, or release.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.0
metadata.displayName
Technical Manuscript Verification
metadata.category
Writing
metadata.tags
writing,books,nonfiction,technical-writing,verification

Technical Manuscript Verification

Core Lens

Technical nonfiction must work in the reader's environment, not just in the author's memory. Verification checks whether commands run, configs are coherent, screenshots match text, links still resolve, safety boundaries are clear, and the reader has enough context to recover from failure.

Use this skill to audit:

  • Technical book chapters and tutorials.
  • Self-hosting and infrastructure guides.
  • Code snippets, shell commands, Docker Compose files, config examples, diagrams, and screenshots.
  • Claims that depend on current platform behavior or version-specific documentation.
  • Pre-beta or pre-publication technical accuracy.

Reference Routing

NeedRead
Verification concepts and terminologyreferences/core/knowledge.md
Audit rules and evidence standardsreferences/core/rules.md
Example findings and verification tablesreferences/core/examples.md
Fast verification checklistreferences/core/checklist.md
Step-by-step verification passworkflows/verify-technical-manuscript.md

Workflow

1. Define The Verification Scope

Identify what needs verification:

  • Commands and code.
  • Config files and environment variables.
  • Installation and setup steps.
  • Screenshots, diagrams, and expected outputs.
  • Links and external references.
  • Safety, security, privacy, data loss, and cost warnings.

Use a narrow pass when the manuscript is large.

2. Build An Evidence Table

For each technical item, track:

text
Item | Location | Assumption | Verification method | Result | Fix

Do not rely on plausibility when the item can be checked.

3. Verify Against Real Or Simulated Environments

Prefer running commands, linting configs, checking links, rendering examples, or consulting primary documentation. When execution is unsafe or impractical, state the assumption and the evidence still needed.

Show full SKILL.md (149 more words)Show less
4. Classify Findings By Reader Risk

Prioritize:

  • Data loss, security exposure, privacy harm, or irreversible changes.
  • Commands that fail or produce different output.
  • Missing prerequisites that block readers.
  • Current-info drift from tool or platform changes.
  • Misleading screenshots or diagrams.
5. Return Fixes The Author Can Apply

Recommend exact changes:

  • Add prerequisite.
  • Change command or config.
  • Add expected output.
  • Add warning, rollback, or troubleshooting note.
  • Move volatile steps to a companion resource.
  • Mark claim for current-doc verification.

Output Format

When verifying a manuscript, return:

  1. Verification scope and assumptions.
  2. Findings ordered by reader risk.
  3. Evidence table with pass/fail/untested status.
  4. Exact manuscript fixes.
  5. Items requiring current primary-source verification.
  6. Suggested beta-reader or expert-review checks.

Quality Bar

Be concrete and evidence-driven. Distinguish "verified," "likely," "untested," and "unsafe to test here." Never imply that a technical instruction works unless it was actually checked or the limitation is clearly stated.

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (references) in plugins/LVTD-LLC/skills/skills/technical-manuscript-verification of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • agents/openai.yaml
  • references/core/checklist.md
  • references/core/examples.md
  • references/core/knowledge.md
  • references/core/rules.md
  • workflows/verify-technical-manuscript.md

Open the folder on GitHubat commit 78497e5

Compare with similar skills

Technical Manuscript Verification next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Technical Manuscript Verification compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Technical Manuscript Verification this skillhashgraph-online/awesome-codex-plugins1.2k—~945Automated safety check: PassMIT
Peer ReviewK-Dense-AI/claude-scientific-writer2.4k2 repos~3.1kAutomated safety check: NotesMIT
Compute Environment Setupaipoch/open-science5.5k1 repos~2.6kAutomated safety check: PassApache-2.0
CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw6171 repos~1.8kAutomated safety check: PassNone
Figure Styleaipoch/open-science5.5k—~5.1kAutomated safety check: PassApache-2.0
Add Bactopia Toolbactopia/bactopia522—~4.1kAutomated safety check: PassMIT

Similar skills

  • Peer Review

    K-Dense-AI/claude-scientific-writer

    Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.

    2.4k GitHub starsUsed in 2 repos~3.1k tokens
    Research & ScienceAuto-check: notes

  • Compute Environment Setup

    aipoch/open-science

    Prepares setup instructions and a named activation file for a user-managed software environment on an Open-Science SSH or Slurm compute host.

    5.5k GitHub starsUsed in 1 repo~2.6k tokens
    Research & ScienceAuto-check passed

  • CHARLS Paper Reproduction Guide

    xjtulyc/MedgeClaw

    Guides an agent through reproducing papers built on the CHARLS health and retirement survey, from variable mapping to cognition, depression and isolation scores.

    617 GitHub starsUsed in 1 repo~1.8k tokens
    Research & ScienceAuto-check passed

  • Figure Style

    aipoch/open-science

    Publication-grade correctness and legibility rules for final-deliverable scientific figures, not exploratory plots.

    5.5k GitHub stars~5.1k tokensUpdated yesterday
    Research & ScienceAuto-check passed

  • Add Bactopia Tool

    bactopia/bactopia

    Scaffold a complete Bactopia Tool across all three tiers -- module, subworkflow, and workflow entry point under workflows/bactopia-tools/.

    522 GitHub stars~4.1k tokensUpdated 2 mo ago
    Research & ScienceAuto-check passed

  • Modeling Code and Result Contracts

    yushui2022/MathModel-Skill

    Generates result-evidence contracts, tables and runnable q1 to q3 modeling code scaffolds for a math modeling paper from a model route, a data plan and cleaned data.

    452 GitHub stars~1.4k tokensUpdated yesterday
    Research & ScienceAuto-check passed

More from hashgraph-online/awesome-codex-plugins

All 686 skills in this repo

  • Anime Reaction Gif

    hashgraph-online/awesome-codex-plugins

    Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.

    1.2k GitHub stars~922 tokensUpdated yesterday
    Auto-check passed

  • Calibredb

    hashgraph-online/awesome-codex-plugins

    Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).

    1.2k GitHub stars~1k tokensUpdated yesterday
    Auto-check passed

  • Rust API Test Harness

    hashgraph-online/awesome-codex-plugins

    A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…

    1.2k GitHub stars~1.7k tokensUpdated yesterday
    Auto-check passed

  • Art

    hashgraph-online/awesome-codex-plugins

    Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…

    1.2k GitHub stars~2.4k tokensUpdated yesterday
    Auto-check passed

  • Game Balance Economy

    hashgraph-online/awesome-codex-plugins

    Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.

    1.2k GitHub stars~618 tokensUpdated yesterday
    Auto-check passed

  • Manuscript Engagement Analytics

    hashgraph-online/awesome-codex-plugins

    Analyze nonfiction manuscripts for reader engagement signals, including heading-level word counts, slow starts, long slogs, weak takeaway titles, value pacing, beta-reader comment dropoff, and…

    1.2k GitHub stars~875 tokensUpdated yesterday
    Auto-check passed

Categories

Questions about Technical Manuscript Verification

What does Technical Manuscript Verification do?

Verify technical nonfiction manuscripts for runnable accuracy, including commands, configuration, code snippets, links, version drift, screenshots, prerequisites, security warnings, expected…. Technical Manuscript Verification is an agent skill from hashgraph-online/awesome-codex-plugins. Verify technical nonfiction manuscripts for runnable accuracy, including commands, configuration, code snippets, links, version drift, screenshots, prerequisites, security warnings, expected outputs, and reproducibility.

When should I use Technical Manuscript Verification?

Technical Manuscript Verification fits situations like: auditing self-hosting; software tutorial drafts before beta reading.

How do I install Technical Manuscript Verification in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill technical-manuscript-verification -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/technical-manuscript-verification in hashgraph-online/awesome-codex-plugins) into .claude/skills/technical-manuscript-verification in your project. Claude Code loads it when a task matches its description.

How do I install Technical Manuscript Verification in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill technical-manuscript-verification -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/technical-manuscript-verification in hashgraph-online/awesome-codex-plugins) into .agents/skills/technical-manuscript-verification in your project. Codex loads it when a task matches its description.

Can I use Technical Manuscript Verification in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill technical-manuscript-verification -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/technical-manuscript-verification, .gemini/skills/technical-manuscript-verification, .github/skills/technical-manuscript-verification and .opencode/skills/technical-manuscript-verification in your project.

What does Technical Manuscript Verification need to run?

SKILL.md names no scripts, command-line tools or credentials: Technical Manuscript Verification is instructions for the agent only. Our summary lists: Docker. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..

Does Technical Manuscript Verification access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Technical Manuscript Verification safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Technical Manuscript Verification use?

Technical Manuscript Verification is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Technical Manuscript Verification use?

About 945 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3k tokens, read only when the agent opens those files.

What are the alternatives to Technical Manuscript Verification?

Skills that share tags, products or a category with Technical Manuscript Verification: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), Compute Environment Setup (aipoch/open-science, 5.5k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars) and Figure Style (aipoch/open-science, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Technical Manuscript Verification?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.