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Agent skill

Proposal Final Review

by Optima-CityU in Optima-CityU/LLM4AD_Next

A skill your agent uses when assembling a completed staged Typst proposal and checking its evidence, logic, citations, structure, and export readiness.

BSD-3-ClauseAuto-check passedResearch & Science

Install Proposal Final Review

skills CLI
$ npx skills add Optima-CityU/LLM4AD_Next --skill proposal-final-review -a claude-code

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

GitHub CLI
$ gh skill install Optima-CityU/LLM4AD_Next proposal-final-review --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/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openair-proposal/proposal-final-review .claude/skills/proposal-final-review && 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
proposal-final-review
GitHub stars
574
Token cost
~774 tokens
SKILL.md length
385 words
Files
2 (incl. references)
Skills in repo
24
Repo updated
First seen
Licence
BSD-3-Clause

At a glance

A skill your agent uses when assembling a completed staged Typst proposal and checking its evidence, logic, citations, structure, and export readiness.

  • Works in 8 steps: The proposal foundation, entry document,… → Ensure the entry document includes the… → Preserve the layout system established… → …
  • Assembling a completed staged Typst proposal and checking its evidence
  • SKILL.md covers Workflow and Constraints
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Proposal Final Review is an agent skill from Optima-CityU/LLM4AD_Next. Use when assembling a completed staged Typst proposal and checking its evidence, logic, citations, structure, and export readiness.

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/full-proposal-review.md`).

It sits in Research & Science, covering Citation management. The repository describes itself as: A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use. The licence is BSD-3-Clause.

When your agent uses it

  • Assembling a completed staged Typst proposal and checking its evidence
  • Export readiness

Example prompts

  • “/proposal-final-review”

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. The proposal foundation, entry document, section files, and bibliography describe the assembled proposal. Select the material needed for…
  2. Ensure the entry document includes the completed section files in this logical order
  3. Preserve the layout system established in the first stage. Modify only assembly, document metadata, bibliography wiring, and other…
  4. Apply the complete cross-section review and dependency checks from the reference.
  5. Check citation keys, terminology, symbols, section order, and unresolved foundation questions. Do not silently rewrite another stage's…
  6. If a substantive or blocking section problem remains, describe it in findings with its severity, owning stage, exact file, and required…
  7. Call publish_stage_result from the enabled LLM4AD stage MCP server with the entry path, summary, findings, ready_for_export…
  8. Set ready_for_export to false when any blocking finding remains. A successful publication then records a needs_revision review outcome…

What it can do on your machine

Read from SKILL.md and the folder at commit e3d3f7b. 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.

Context cost

Proposal Final Review loads about 774 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 38 tokens; SKILL.md has 385 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~774
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.7k

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 Optima-CityU/LLM4AD_Next at commit e3d3f7b, republished under its BSD-3-Clause licence (© Optima-CityU). 385 words, ~774 tokens.

Download SKILL.mdSave it as .claude/skills/proposal-final-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
proposal-final-review
description
Use when assembling a completed staged Typst proposal and checking its evidence, logic, citations, structure, and export readiness.
<!-- Adapted from Maxine-1520/OpenAIR_proposal; see ../ATTRIBUTION.md. -->

Proposal Assembly and Final Review

Use this skill only for the final proposal stage. Edit only the proposal entry document specified in the task prompt.

Read the method reference completely before acting: references/full-proposal-review.md.

You may read any project source file for context. You may modify only the entry document. Project documents are optional context. Their names describe their role; decide whether and when to read each one from the current stage and request. The presence of a project document does not make it mandatory input.

Workflow

  1. The proposal foundation, entry document, section files, and bibliography describe the assembled proposal. Select the material needed for the checks performed in this review.
  2. Ensure the entry document includes the completed section files in this logical order:
    • sections/01-rationale.typ
    • sections/02-literature.typ
    • sections/03-value.typ
    • sections/04-objectives.typ
    • sections/05-methods.typ
    • sections/07-plan.typ
    • sections/06-feasibility.typ
  3. Preserve the layout system established in the first stage. Modify only assembly, document metadata, bibliography wiring, and other entry-level Typst configuration.
  4. Apply the complete cross-section review and dependency checks from the reference.
  5. Check citation keys, terminology, symbols, section order, and unresolved foundation questions. Do not silently rewrite another stage's section.
  6. If a substantive or blocking section problem remains, describe it in findings with its severity, owning stage, exact file, and required correction; keep its source untouched so the author can return to that stage.
  7. Call publish_stage_result from the enabled LLM4AD stage MCP server with the entry path, summary, findings, ready_for_export, context_patch, and a stable idempotency key. Use the patch only for durable context explicitly corrected or established during final interaction; use stable model-defined keys and empty arrays when nothing changed.
  8. Set ready_for_export to false when any blocking finding remains. A successful publication then records a needs_revision review outcome instead of pretending the proposal is complete. Set it to true only when the entry document is structurally compilable and no blocking finding remains. Repair and retry only schema, path, or source-validation errors returned by the tool; do not retry merely because the valid review outcome requires revision.
Show full SKILL.md (51 more words)Show less

Constraints

  • Do not weaken or override the project foundation.
  • Do not fabricate missing references, results, resources, or author facts.
  • Do not copy section content into the entry file; include the owned section files.
  • A warning may remain in findings while the document is exportable, provided the Typst assembly is structurally complete.

© Optima-CityU, BSD-3-Clause. 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 1 other file (references) in skills/openair-proposal/proposal-final-review of Optima-CityU/LLM4AD_Next.

  • SKILL.md
  • references/full-proposal-review.md

Open the folder on GitHubat commit e3d3f7b

Compare with similar skills

Proposal Final Review 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.

Proposal Final Review compared with similar skills
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Proposal Final Review this skillOptima-CityU/LLM4AD_Next574—~774Automated safety check: PassBSD-3-Clause
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Systematic Review ScreenerImbad0202/academic-research-skills51k—~8.4kAutomated safety check: PassCustom licence
NetworkxzLanqing/codex-claude-academic-skills4.7k15 repos~3.2kAutomated safety check: PassBSD-3-Clause
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Openalex Databaseneflibata-feng/MyArxiv-Agent12612 repos~3kAutomated safety check: PassCustom licence

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More from Optima-CityU/LLM4AD_Next

All 24 skills in this repo

  • Proposal Foundation Layout

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  • Llm4ad Task Builder

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  • Document Knowledge Organizer

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  • Proposal Foundation Feasibility

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    A skill your agent uses when documenting a proposal's research foundation, available conditions, team support, feasibility, and risk controls from author-supplied facts.

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  • Proposal Innovation Plan

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    A skill your agent uses when distilling a proposal's innovations and defining milestones, annual plans, contingency points, and expected outcomes.

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  • Proposal Literature Evidence

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Categories

Questions about Proposal Final Review

What does Proposal Final Review do?

A skill your agent uses when assembling a completed staged Typst proposal and checking its evidence, logic, citations, structure, and export readiness. Proposal Final Review is an agent skill from Optima-CityU/LLM4AD_Next. Use when assembling a completed staged Typst proposal and checking its evidence, logic, citations, structure, and export readiness.

When should I use Proposal Final Review?

Proposal Final Review fits situations like: assembling a completed staged Typst proposal and checking its evidence; export readiness.

How do I install Proposal Final Review in Claude Code?

Run `npx skills add Optima-CityU/LLM4AD_Next --skill proposal-final-review -a claude-code`. Or copy the skill folder (skills/openair-proposal/proposal-final-review in Optima-CityU/LLM4AD_Next) into .claude/skills/proposal-final-review in your project. Claude Code loads it when a task matches its description.

How do I install Proposal Final Review in Codex?

Run `npx skills add Optima-CityU/LLM4AD_Next --skill proposal-final-review -a codex`. Or copy the skill folder (skills/openair-proposal/proposal-final-review in Optima-CityU/LLM4AD_Next) into .agents/skills/proposal-final-review in your project. Codex loads it when a task matches its description.

Can I use Proposal Final Review 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 Optima-CityU/LLM4AD_Next --skill proposal-final-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/proposal-final-review, .gemini/skills/proposal-final-review, .github/skills/proposal-final-review and .opencode/skills/proposal-final-review in your project.

What does Proposal Final Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Proposal Final Review is instructions for the agent only.

Does Proposal Final Review 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 Proposal Final Review 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 Proposal Final Review use?

Proposal Final Review is published under the BSD-3-Clause licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Proposal Final Review use?

About 774 tokens (SKILL.md is roughly 3.1k 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 915 tokens, read only when the agent opens those files.

What are the alternatives to Proposal Final Review?

Skills that share tags, products or a category with Proposal Final Review: Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Networkx (zLanqing/codex-claude-academic-skills, 4.7k stars) and Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Proposal Final Review?

Optima-CityU (a GitHub organization) maintains it in Optima-CityU/LLM4AD_Next, which has 574 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 9, 2026.

Source: Optima-CityU/LLM4AD_Next on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.