Get Job
agentenatalie/get-job.skill
实习.skill / get-job.skill：从岗位调研、简历改写到分轮次面试准备的全流程求职 skill。适合找工作、投实习、校招、秋招、春招、暑期实习、社招、跳槽、转行、跨专业求职、留学生求职，以及产品经理、运营、市场、咨询、AI 产品、AI Coding、数据分析、技术岗等目标岗位准备。
Plan beta reading rounds for practical nonfiction and turn reader comments, abandonment, confusion, skepticism, and negative feedback into manuscript revisions.
Install Beta Reader Feedback
$ npx skills add hashgraph-online/awesome-codex-plugins --skill beta-reader-feedback -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins beta-reader-feedback --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/beta-reader-feedback .claude/skills/beta-reader-feedback && rm -rf skills-srcUse ~/.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/
Install the "beta-reader-feedback" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/beta-reader-feedback into .claude/skills/beta-reader-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "beta-reader-feedback", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/beta-reader-feedbackType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill beta-reader-feedback -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins beta-reader-feedback --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/beta-reader-feedback .agents/skills/beta-reader-feedback && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "beta-reader-feedback" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/beta-reader-feedback into .agents/skills/beta-reader-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "beta-reader-feedback", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill beta-reader-feedback -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins beta-reader-feedback --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/beta-reader-feedback .cursor/skills/beta-reader-feedback && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "beta-reader-feedback" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/beta-reader-feedback into .cursor/skills/beta-reader-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "beta-reader-feedback", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hashgraph-online/awesome-codex-plugins.git --path plugins/LVTD-LLC/skills/skills/beta-reader-feedback--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill beta-reader-feedback -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins beta-reader-feedback --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/beta-reader-feedback .gemini/skills/beta-reader-feedback && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "beta-reader-feedback" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/beta-reader-feedback into .gemini/skills/beta-reader-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "beta-reader-feedback", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hashgraph-online/awesome-codex-plugins beta-reader-feedbackInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hashgraph-online/awesome-codex-plugins --skill beta-reader-feedback -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/beta-reader-feedback .github/skills/beta-reader-feedback && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "beta-reader-feedback" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/beta-reader-feedback into .github/skills/beta-reader-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "beta-reader-feedback", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill beta-reader-feedback -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins beta-reader-feedback --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/beta-reader-feedback .opencode/skills/beta-reader-feedback && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "beta-reader-feedback" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/beta-reader-feedback into .opencode/skills/beta-reader-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "beta-reader-feedback", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
beta-reader-feedback- GitHub stars
- 1.2k
- Token cost
- ~918 tokens
- SKILL.md length
- 398 words
- Files
- 7 (incl. references)
- Skills in repo
- 736
- Repo updated
- First seen
- Licence
- MIT
At a glance
Plan beta reading rounds for practical nonfiction and turn reader comments, abandonment, confusion, skepticism, and negative feedback into manuscript revisions.
- Works in 5 steps: Confirm Beta-Readiness → Choose The Reader Batch → Prepare The Feedback Surface → …
- Recruiting beta readers
- 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
Beta Reader Feedback is an agent skill from hashgraph-online/awesome-codex-plugins. Plan beta reading rounds for practical nonfiction and turn reader comments, abandonment, confusion, skepticism, and negative feedback into manuscript revisions. Use when recruiting beta readers, preparing reader instructions, synthesizing feedback, deciding whether a book is ready, or improving a draft from real reader data.
Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/core/checklist.md`, `references/core/examples.md` and `references/core/knowledge.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.
It sits in Business, Finance & HR, covering Recruiting and HR. 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
- Recruiting beta readers
- Preparing reader instructions
- Synthesizing feedback
- Deciding whether a book is ready
Example prompts
- “/beta-reader-feedback”
Requirements
- 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.
What it can do on your machine
Read from SKILL.md and the folder at commit 16b4156. 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
Beta Reader Feedback loads about 918 tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 87 tokens; SKILL.md has 398 words of instructions outside code blocks.
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 16b4156, republished under its MIT licence (© hashgraph-online). 398 words, ~918 tokens.
Download SKILL.mdSave it as
.claude/skills/beta-reader-feedback/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- beta-reader-feedback
- description
- Plan beta reading rounds for practical nonfiction and turn reader comments, abandonment, confusion, skepticism, and negative feedback into manuscript revisions. Use when recruiting beta readers, preparing reader instructions, synthesizing feedback, deciding whether a book is ready, or improving a draft from real reader data.
- compatibility
- Codex, Claude Code, and other Agent Skills-compatible clients.
- license
- MIT
- metadata.version
- 0.1.0
- metadata.displayName
- Beta Reader Feedback
- metadata.category
- Writing
- metadata.tags
- writing,books,nonfiction,beta-readers,feedback
Beta Reader Feedback
Core Lens
Beta reading is product testing for a useful nonfiction manuscript. The goal is not praise, proofreading, or opinion collection. The goal is to discover whether readers want the promise, receive the value, stay engaged, and know what to do next.
Use this skill to:
- Plan beta reader rounds.
- Recruit the right readers.
- Write reader instructions.
- Classify and synthesize comments.
- Detect hidden boredom from abandonment.
- Decide what to revise next.
- Decide when the manuscript is ready for polishing.
Reference Routing
| Need | Read |
|---|---|
| Core beta-reading model and terminology | references/core/knowledge.md |
| Operating rules and decision criteria | references/core/rules.md |
| Example instructions, feedback classes, and synthesis patterns | references/core/examples.md |
| Quick checklist for setup and review | references/core/checklist.md |
| Run a beta iteration | workflows/run-beta-iteration.md |
| Synthesize comments into revision decisions | workflows/synthesize-feedback.md |
Workflow
1. Confirm Beta-Readiness
Start beta reading after the draft is coherent enough for motivated readers, but before it has been polished so heavily that major changes feel costly.
If the draft is still a vague TOC, use book-toc-lab. If it needs structural pacing work first, use reader-experience-edit.
2. Choose The Reader Batch
For each iteration, define:
- Target reader profile.
- Desired number of deeply engaged readers.
- Invitation list, usually larger than the desired reader count.
- Any influential readers to save for a later, stronger draft.
3. Prepare The Feedback Surface
Use a tool that supports live comments and engagement visibility.
- Prefer cloud-hosted commenting.
- Do not email PDFs around as the main workflow.
- Tell readers what feedback matters now.
- Ask for confusion, skepticism, missing information, boredom, value, and applicability.
Show full SKILL.md (146 more words)Show less
4. Classify Feedback
Group feedback by signal:
- Evidence of value.
- Confusion or missing information.
- Skepticism or weak proof.
- Factual issues, overgeneralization, or oversimplification.
- Unnecessary drama or distracting sentences.
- Boredom, abandonment, or comment drop-off.
- Application problems after reading.
5. Revise By Signal Strength
Prioritize changes that unblock more readers.
- Treat abandonment as data.
- Treat negative feedback as a lens, not a command.
- Do not argue with readers in the document.
- Follow up when the book is supposed to change behavior after reading.
Output Format
When helping with beta feedback, return:
- Beta-readiness or setup diagnosis.
- Reader recruitment and instruction plan.
- Feedback taxonomy or synthesis table.
- Ordered revision priorities.
- Finish criteria: what evidence would make the manuscript ready for polish.
Quality Bar
Separate reader signals from author defensiveness. Do not merely summarize comments. Convert them into revision decisions, open questions, and next beta-round tests.
© 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/beta-reader-feedback of hashgraph-online/awesome-codex-plugins.
- SKILL.md
- references/core/checklist.md
- references/core/examples.md
- references/core/knowledge.md
- references/core/rules.md
- workflows/run-beta-iteration.md
- workflows/synthesize-feedback.md
Open the folder on GitHubat commit 16b4156
Compare with similar skills
Beta Reader Feedback 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Beta Reader Feedback this skillhashgraph-online/awesome-codex-plugins | 1.2k | — | ~918 | Automated safety check: Pass | MIT | |
| Get Jobagentenatalie/get-job.skill | 623 | — | ~1.7k | Automated safety check: Pass | CC-BY-NC-ND-4.0 | |
| Resume Reviewerweeelin98/ResumeDom | 158 | — | ~2.4k | Automated safety check: Pass | None | |
| Build Resume Portfolio Sitetao943/build-resume-portfolio-site | 195 | — | ~5.8k | Automated safety check: Pass | None | |
| Cyber Resume Reviewermubix/cyber-resume-reviewer-skill | 182 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Repo To Resume TailorSsabby1/repo-to-resume-tailor | 127 | — | ~1.8k | Automated safety check: Pass | MIT |
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Categories
Questions about Beta Reader Feedback
What does Beta Reader Feedback do?
Plan beta reading rounds for practical nonfiction and turn reader comments, abandonment, confusion, skepticism, and negative feedback into manuscript revisions. Beta Reader Feedback is an agent skill from hashgraph-online/awesome-codex-plugins. Plan beta reading rounds for practical nonfiction and turn reader comments, abandonment, confusion, skepticism, and negative feedback into manuscript revisions.
When should I use Beta Reader Feedback?
Beta Reader Feedback fits situations like: recruiting beta readers; preparing reader instructions; synthesizing feedback; deciding whether a book is ready.
How do I install Beta Reader Feedback in Claude Code?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill beta-reader-feedback -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/beta-reader-feedback in hashgraph-online/awesome-codex-plugins) into .claude/skills/beta-reader-feedback in your project. Claude Code loads it when a task matches its description.
How do I install Beta Reader Feedback in Codex?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill beta-reader-feedback -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/beta-reader-feedback in hashgraph-online/awesome-codex-plugins) into .agents/skills/beta-reader-feedback in your project. Codex loads it when a task matches its description.
Can I use Beta Reader Feedback 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 beta-reader-feedback -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/beta-reader-feedback, .gemini/skills/beta-reader-feedback, .github/skills/beta-reader-feedback and .opencode/skills/beta-reader-feedback in your project.
What does Beta Reader Feedback need to run?
SKILL.md names no scripts, command-line tools or credentials: Beta Reader Feedback is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..
Does Beta Reader Feedback 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 Beta Reader Feedback 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 Beta Reader Feedback use?
Beta Reader Feedback 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 Beta Reader Feedback use?
About 918 tokens (SKILL.md is roughly 3.7k 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 2.9k tokens, read only when the agent opens those files.
What are the alternatives to Beta Reader Feedback?
Skills that share tags, products or a category with Beta Reader Feedback: Get Job (agentenatalie/get-job.skill, 623 stars), Resume Reviewer (weeelin98/ResumeDom, 158 stars), Build Resume Portfolio Site (tao943/build-resume-portfolio-site, 195 stars) and Cyber Resume Reviewer (mubix/cyber-resume-reviewer-skill, 182 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Beta Reader Feedback?
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,232 GitHub stars. The repository holds 736 skills in this directory. The repository was last updated on October 6, 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.