Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopnpx agentmods add skills/agentlas-ai/agentlas-desktop/research-grantsWrote 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.
[](https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/research-grants)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/research-grants"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/research-grants/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.
<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/research-grants"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/research-grants.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00048 | $0.02969 |
| Opus 5.5 | $0.00019 | $0.01188 |
| Sonnet 5.5 | $0.00010 | $0.00594 |
| Haiku 4.5 | $0.00005 | $0.00297 |
Grade A, and why
research-grants 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 1mo 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.
This is a copy
98% identical to research-grants — 70 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Grant Writing
Overview
Research grant writing is the process of developing competitive funding proposals for federal agencies and foundations. Master agency-specific requirements, review criteria, narrative structure, budget preparation, and compliance for NSF (National Science Foundation), NIH (National Institutes of Health), DOE (Department of Energy), DARPA (Defense Advanced Research Projects Agency), and Taiwan's NSTC (National Science and Technology Council) submissions.
Critical Principle: Grants are persuasive documents that must simultaneously demonstrate scientific rigor, innovation, feasibility, and broader impact. Each agency has distinct priorities, review criteria, formatting requirements, and strategic goals that must be addressed.
When to Use This Skill
This skill should be used when:
- Writing research proposals for NSF, NIH, DOE, DARPA, or NSTC programs
- Preparing project descriptions, specific aims, or technical narratives
- Developing broader impacts or significance statements
- Creating research timelines and milestone plans
- Preparing budget justifications and personnel allocation plans
- Responding to program solicitations or funding announcements
- Addressing reviewer comments in resubmissions
- Planning multi-institutional collaborative proposals
- Writing preliminary data or feasibility sections
- Preparing biosketches, CVs, or facilities descriptions
Visual Enhancement (Optional)
Strong proposals often include 1–3 figures (timelines, workflow diagrams, preliminary data). Figures support review but are not a substitute for clear aims and methods.
When figures help:
- Research methodology and workflow diagrams
- Project timeline or Gantt charts
- Conceptual framework or system architecture (technical proposals)
- Experimental design flowcharts
- Broader impacts activity diagrams
- NSTC CM03 research architecture diagrams (often expected)
How to create figures:
- Preferred: Use the scientific-schematics skill (
--doc-type grant) for AI-generated diagrams from a natural-language description - Alternative: Build figures in your usual tools (matplotlib, Illustrator, PowerPoint, etc.)
What ships with it
15 files 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.
- assets/budget_justification_template.md 22 KB
- assets/nih_specific_aims_template.md 11 KB
- assets/nsf_project_summary_template.md 5.7 KB
- references/broader_impacts.md 23 KB
- references/core_components.md 15 KB
- references/darpa_guidelines.md 20 KB
- references/doe_guidelines.md 19 KB
- references/nih_guidelines.md 30 KB
- references/nsf_guidelines.md 21 KB
- references/nstc_guidelines.md 26 KB
- references/proposal_types_and_resubmission.md 3.2 KB
- references/README.md 9.5 KB
- references/review_criteria.md 3.1 KB
- references/specific_aims_guide.md 21 KB
- references/writing_principles.md 3.2 KB
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.
- 1mo ago First seen · 314 lines · 48 tokens per session scan A 9208b8b5092e
research-grants is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 48 tokens to every session and 2,969 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to research-grants, differing in 70 lines, and is treated as a copy.
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