NSFC Proposal Review Simulator
huangwb8/ChineseResearchLaTeX
Simulates a panel of expert reviewers on an NSFC grant proposal and returns graded problems, a minimal revision order and a likely pass or fail verdict.
Six-phase workflow for writing, revising and adapting grant proposals for NSF, NIH, DOE, DARPA, NASA and China's NSFC, from profiling through simulated peer review.
Install Grant Proposal Writing Workflow
$ npx skills add OpenLAIR/dr-claw --skill inno-grant-proposal -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenLAIR/dr-claw inno-grant-proposal --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/OpenLAIR/dr-claw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/inno-grant-proposal .claude/skills/inno-grant-proposal && 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 "inno-grant-proposal" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-grant-proposal into .claude/skills/inno-grant-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-grant-proposal", 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/OpenLAIR/dr-claw/tree/main/skills/inno-grant-proposalType 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 OpenLAIR/dr-claw --skill inno-grant-proposal -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenLAIR/dr-claw inno-grant-proposal --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/inno-grant-proposal .agents/skills/inno-grant-proposal && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "inno-grant-proposal" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-grant-proposal into .agents/skills/inno-grant-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-grant-proposal", 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 OpenLAIR/dr-claw --skill inno-grant-proposal -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenLAIR/dr-claw inno-grant-proposal --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/inno-grant-proposal .cursor/skills/inno-grant-proposal && 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 "inno-grant-proposal" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-grant-proposal into .cursor/skills/inno-grant-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-grant-proposal", 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/OpenLAIR/dr-claw.git --path skills/inno-grant-proposal--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 OpenLAIR/dr-claw --skill inno-grant-proposal -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenLAIR/dr-claw inno-grant-proposal --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/inno-grant-proposal .gemini/skills/inno-grant-proposal && 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 "inno-grant-proposal" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-grant-proposal into .gemini/skills/inno-grant-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-grant-proposal", 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 OpenLAIR/dr-claw inno-grant-proposalInstalls 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 OpenLAIR/dr-claw --skill inno-grant-proposal -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/inno-grant-proposal .github/skills/inno-grant-proposal && 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 "inno-grant-proposal" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-grant-proposal into .github/skills/inno-grant-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-grant-proposal", 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 OpenLAIR/dr-claw --skill inno-grant-proposal -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OpenLAIR/dr-claw inno-grant-proposal --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/inno-grant-proposal .opencode/skills/inno-grant-proposal && 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 "inno-grant-proposal" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-grant-proposal into .opencode/skills/inno-grant-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-grant-proposal", 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
inno-grant-proposal- GitHub stars
- 1.2k
- Token cost
- ~9.2k tokens
- SKILL.md length
- 4,213 words
- Files
- 34 (incl. scripts, references)
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Six-phase workflow for writing, revising and adapting grant proposals for NSF, NIH, DOE, DARPA, NASA and China's NSFC, from profiling through simulated peer review.
- Works in 6 steps: Project Profiling & Grant Matching → Structure Planning → Section-by-Section Drafting → …
- Drafting specific aims or a project description for an NIH, NSF or DOE proposal
- SKILL.md covers Core Philosophy, Routing Logic, State Persistence and Safety Rules, plus 5 more sections
- Calls python3
What it does
The skill treats a grant as an argument rather than a request: the proposal must show that the problem matters, that you are the right person, that the approach will work and that the investment is justified. It writes like a domain expert, keeps in mind a tired reviewer scanning dozens of proposals, and wants evidence behind every claim and task traceability behind every expense. Routing picks a CN track for NSFC and other Chinese agencies, drafted in Chinese, or a US track drafted in English, while the conversation can use any language.
Work moves through six phases: profiling, planning, drafting, quality review, simulated peer review and submission prep. Session state is saved in `GRANT_STATE.json` and read at the start of every turn, files are backed up to a `backups/` folder before being overwritten, and your original files are not changed without confirmation. Internal numbered scaffolding is stripped from final output. Bundled references include an NSFC guide, common mistakes, resubmission and post-submission notes, reviewer personas, an AI-flavor checklist and NIH, NSF and NSFC rubrics, alongside scripts and evals.
When your agent uses it
- Drafting specific aims or a project description for an NIH, NSF or DOE proposal
- Writing or polishing an NSFC application in Chinese
- Adapting an earlier proposal for a resubmission or a different agency
- Running a simulated peer review before submitting
Example prompts
- “Help me plan an NSF CAREER proposal and draft the broader impacts section.”
- “Review my R01 specific aims the way a skeptical study section reviewer would.”
- “Adapt last year's proposal into a resubmission and list what the reviewers raised.”
Requirements
- A working folder where `GRANT_STATE.json` and backups can be written
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Project Profiling & Grant Matching
- Structure Planning
- Section-by-Section Drafting
- Quality Review
- Simulated Review
- Final Optimization & Submission Prep
What it can do on your machine
Read from SKILL.md and the folder at commit d51b64e. 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
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
python3
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
Grant Proposal Writing Workflow loads about 9.2k tokens when it runs, and up to ~68k if it reads all its reference files. Until then it costs about 165 tokens; SKILL.md has 4,213 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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 4,213 words (~9,234 tokens).
- name
- inno-grant-proposal
- source
- dr-claw
Files
SKILL.md and 33 other files (scripts, references) in skills/inno-grant-proposal of OpenLAIR/dr-claw.
- SKILL.md
- CREDITS.md
- agents/openai.yaml
- config.yaml
- evals/evals.json
- references/cn/nsfc_guide.md
- references/common/ai_flavor_checklist.md
- references/common/common_mistakes.md
- references/common/post_submission.md
- references/common/resubmission.md
- references/common/reviewer_personas.md
- references/rubrics/nih_rubric.json
- references/rubrics/nsf_rubric.json
- references/rubrics/nsfc_rubric.json
- references/us
- … and 19 more
Open the folder on GitHubat commit d51b64e
Compare with similar skills
Grant Proposal Writing Workflow 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 |
|---|---|---|---|---|---|---|
| Grant Proposal Writing Workflow this skillOpenLAIR/dr-claw | 1.2k | — | ~9.2k | Automated safety check: Pass | Custom licence | |
| NSFC Proposal Review Simulatorhuangwb8/ChineseResearchLaTeX | 2.9k | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| Academic Paper ReviewerImbad0202/academic-research-skills | 51k | — | ~11k | Automated safety check: Pass | Custom licence | |
| Academic HumanizerAIScientists-Dev/academic-humanizer | 1.9k | 1 repos | ~4.2k | Automated safety check: Pass | MIT | |
| Academic Research PipelineImbad0202/academic-research-skills | 51k | — | ~15k | Automated safety check: Pass | Custom licence |
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Related
Categories
Questions about Grant Proposal Writing Workflow
What does Grant Proposal Writing Workflow do?
Six-phase workflow for writing, revising and adapting grant proposals for NSF, NIH, DOE, DARPA, NASA and China's NSFC, from profiling through simulated peer review. The skill treats a grant as an argument rather than a request: the proposal must show that the problem matters, that you are the right person, that the approach will work and that the investment is justified. It writes like a domain expert, keeps in mind a tired reviewer scanning dozens of proposals, and wants evidence behind every claim and task traceability behind every expense.
When should I use Grant Proposal Writing Workflow?
Grant Proposal Writing Workflow fits situations like: drafting specific aims or a project description for an NIH, NSF or DOE proposal; writing or polishing an NSFC application in Chinese; adapting an earlier proposal for a resubmission or a different agency; running a simulated peer review before submitting.
How do I install Grant Proposal Writing Workflow in Claude Code?
Run `npx skills add OpenLAIR/dr-claw --skill inno-grant-proposal -a claude-code`. Or copy the skill folder (skills/inno-grant-proposal in OpenLAIR/dr-claw) into .claude/skills/inno-grant-proposal in your project. Claude Code loads it when a task matches its description.
How do I install Grant Proposal Writing Workflow in Codex?
Run `npx skills add OpenLAIR/dr-claw --skill inno-grant-proposal -a codex`. Or copy the skill folder (skills/inno-grant-proposal in OpenLAIR/dr-claw) into .agents/skills/inno-grant-proposal in your project. Codex loads it when a task matches its description.
Can I use Grant Proposal Writing Workflow 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 OpenLAIR/dr-claw --skill inno-grant-proposal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/inno-grant-proposal, .gemini/skills/inno-grant-proposal, .github/skills/inno-grant-proposal and .opencode/skills/inno-grant-proposal in your project.
What does Grant Proposal Writing Workflow need to run?
Going by SKILL.md and its folder, Grant Proposal Writing Workflow needs the command-line tools its instructions call (python3). Our summary lists: A working folder where `GRANT_STATE.json` and backups can be written.
Does Grant Proposal Writing Workflow 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 Grant Proposal Writing Workflow 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Grant Proposal Writing Workflow use?
Grant Proposal Writing Workflow has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Grant Proposal Writing Workflow use?
About 9.2k tokens (SKILL.md is roughly 37k 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 59k tokens, read only when the agent opens those files.
What are the alternatives to Grant Proposal Writing Workflow?
Skills that share tags, products or a category with Grant Proposal Writing Workflow: NSFC Proposal Review Simulator (huangwb8/ChineseResearchLaTeX, 2.9k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars), Academic Paper Reviewer (Imbad0202/academic-research-skills, 51k stars) and Academic Humanizer (AIScientists-Dev/academic-humanizer, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Grant Proposal Writing Workflow?
OpenLAIR (a GitHub organization) maintains it in OpenLAIR/dr-claw, which has 1,155 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on September 17, 2026.
Source: OpenLAIR/dr-claw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.