Vibe-Skills is a collection and routing system that helps AI agents discover, select, and coordinate specialized skills for completing tasks. It is intended for agents that need to organize workflows across many installed capabilities. The catalogue entries are skills and an agent belonging to this system.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add foryourhealth111-pixel/Vibe-Skills --skill research-grantsgit clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-SkillsWrote 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/foryourhealth111-pixel/vibe-skills/research-grants)<a href="https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/research-grants"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/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/foryourhealth111-pixel/vibe-skills/research-grants"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/research-grants.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Memory Poisoning · line 121 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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 | $0.07399 |
| Opus 5 | $0.00024 | $0.03700 |
| Sonnet 5 | $0.00010 | $0.01480 |
| Haiku 4.5 | $0.00005 | $0.00740 |
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 9d 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.
Copies of this mod
7 near-identical copies found in the catalogue:
- research-grants — 94% identical, 43 lines differ
- research-grants — 94% identical, 43 lines differ
- research-grants — 92% identical, 66 lines differ
- research-grants — 92% identical, 46 lines differ
- research-grants — 91% identical, 66 lines differ
- research-grants — 89% identical, 72 lines differ
- research-grants — 89% identical, 72 lines differ
How it starts
The opening of the file, as written. The whole thing — 933 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
Proposal Outputs
Grant proposals often benefit from clear visual elements, but visuals are outputs of the grant-writing task rather than a required secondary skill route.
Use visuals when they strengthen the proposal:
- Research workflow or methodology diagram
- Project timeline or milestone chart
- Conceptual framework
- Preliminary data figure plan
- Collaboration structure
- Broader impacts activity map
Do not require a separate helper expert before the grant proposal can be considered complete.
Agency-Specific Overview
NSF (National Science Foundation)
Mission: Promote the progress of science and advance national health, prosperity, and welfare
What ships with it
11 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 21 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/darpa_guidelines.md 20 KB
- references/doe_guidelines.md 19 KB
- references/nih_guidelines.md 29 KB
- references/nsf_guidelines.md 21 KB
- references/nstc_guidelines.md 26 KB
- references/README.md 9.2 KB
- references/specific_aims_guide.md 21 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.
- 9d ago First seen · 933 lines · 48 tokens per session scan A 62187bf7c5aa
research-grants is a skill published in the GitHub repository foryourhealth111-pixel/Vibe-Skills (3,252 stars, last pushed 12d ago), licensed Apache-2.0. It adds 48 tokens to every session and 7,399 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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