Atlas / Skills / brycewang-stanford / Grant Budget Guide

Grant Budget GuideSAFE

skills/brycewang-stanford/grant-budget-guide

🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
1 documented
License
NOASSERTION
Stars
4,537
01

Overview

🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.

Read from source at commit e1ba289846fdOBSERVED · 2026-10-08
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
openclawmentioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: grant-budget-guide
description: "Prepare and justify research grant budgets across funding agencies"
metadata:
  openclaw:
    emoji: "💸"
    category: "research"
    subcategory: "funding"
    keywords: ["grant budget", "budget justification", "cost estimation", "indirect costs", "personnel costs", "funding agencies"]
    source: "wentor-research-plugins"
---

# Grant Budget Guide

A skill for preparing realistic, well-justified research grant budgets. Covers common budget categories across major funding agencies (NSF, NIH, ERC, EPSRC, NSERC), cost estimation methods, budget justification writing, common mistakes that trigger reviewer concerns, and strategies for handling budget cuts during negotiation.

## Budget Categories

### Standard Budget Structure

Most funding agencies use similar budget categories, though terminology and rules vary. Understanding the universal structure helps when applying to any funder.

```
Standard Grant Budget Categories:

1. PERSONNEL (typically 50-70% of total)
   a. Principal Investigator (PI) salary + benefits
   b. Co-PI salary + benefits
   c. Postdoctoral researchers
   d. Graduate research assistants (stipend + tuition)
   e. Undergraduate assistants
   f. Research technicians / lab managers
   g. Administrative support (if justified)

2. EQUIPMENT (items > agency threshold, e.g., > $5,000)
   a. Major equipment purchases
   b. Fabrication costs
   c. Computer hardware (if specialized)
   Note: Standard office computers usually NOT allowed

3. TRAVEL
   a. Domestic conference travel
   b. International conference travel
   c. Fieldwork travel
   d. Collaboration visits
   e. Per diem and accommodation

4. MATERIALS AND SUPPLIES
   a. Lab consumables (reagents, chemicals, glassware)
   b. Software licenses
   c. Computing costs (cloud, HPC allocations)
   d. Participant incentives / compensation
   e. Printing, copying, publication charges

5. OTHER DIRECT COSTS
   a. Subcontracts / subawards
   b. Consultant fees
   c. Human subjects costs (IRB fees, participant payments)
   d. Publication fees (open access charges)
   e. Specialized services (sequencing, imaging, surveys)

6. INDIRECT COSTS (F&A - Facilities and Administration)
   a. Calculated as percentage of modified total direct costs
   b. Rate negotiated between institution and government
   c. Typical US university rate: 50-65% (on-campus)
   d. Some agencies cap indirect costs
```

## Cost Estimation

### Personnel Cost Calculation

```
Estimating personnel costs:

PI salary:
  Monthly salary = Annual salary / 12
  Person-months requested = Calendar months of effort
  Cost = Monthly salary x Person-months
  Benefits = Cost x Fringe benefit rate

  Example:
    Annual salary: $120,000
    Effort: 2 summer months (of 12 calendar months)
    Salary cost: $120,000 / 12 x 2 = $20,000
    Fringe benefits at 30%: $6,000
    Total PI cost: $26,000 per year

Postdoc salary:
  Check institution's postdoc salary scale
  NIH NRSA stipend levels provide a common benchmark
  Include annual raises (3-4% per year)
  Include full benefits (health insurance, retirement)

  Example (3-year project):
    Year 1: $56,000 + 30% fringe = $72,800
    Year 2: $57,680 + 30% fringe = $74,984
    Year 3: $59,410 + 30% fringe = $77,233
    Total: $225,017

Graduate student:
  Stipend (12 months): varies by institution ($25,000-$40,000)
  Tuition remission: often charged to the grant ($15,000-$50,000)
  Health insurance: $2,000-$5,000/year
  Total per student per year: $42,000-$95,000
```

### Inflation and Multi-Year Projections

```python
def project_costs(base_cost, years, inflation_rate=0.03):
    """
    Project costs over multiple years with inflation.

    Most agencies expect 3% annual inflation for personnel
    and 2-5% for supplies depending on the field.
    """
    yearly_costs = []
    for year in range(years):
        adjusted = base_cost * (1 + inflation_rate) ** year
        yearly_costs.append(round(adjusted, 2))
    return yearly_costs

# Example: $50,000 postdoc base over 4 years
# project_costs(50000, 4, 0.03)
# Returns: [50000.00, 51500.00, 53045.00, 54636.35]
```

## Budget Justification Writing

### Structure and Tone

The budget justification is a narrative document that explains WHY each cost is necessary. It should demonstrate that every dollar serves the scientific goals.

```
Budget Justification Template:

A. Personnel

Principal Investigator (Dr. Jane Smith): 2 calendar months of
effort per year ($20,000 salary + $6,000 fringe = $26,000/year).
Dr. Smith will oversee all aspects of the project, including
experimental design, data analysis, and manuscript preparation.
Her expertise in computational neuroscience (see Biographical
Sketch) is essential for the proposed machine learning analyses.

Postdoctoral Researcher (TBD): 12 calendar months of effort per
year ($56,000 salary + $16,800 fringe = $72,800 Year 1, with 3%
annual increases). The postdoc will conduct the primary
computational analyses, develop the novel algorithms described in
Aim 2, and train graduate students on the methodology.

B. Equipment

GPU Computing Server ($35,000): A dedicated server with 4 NVIDIA
A100 GPUs is required for training the deep learning models
described in Aim 2. Cloud computing was considered but would cost
approximately $45,000 over the project period based on estimated
compute hours, making a dedicated server more cost-effective.

C. Travel

Conference travel ($3,000/year): Funds for the PI or postdoc to
attend one domestic conference (estimated: $1,800 for
registration, airfare, hotel, and per diem) and one workshop
($1,200). Target venues include NeurIPS and the Computational
Neuroscience annual meeting, where we will present project
results and recruit collaborators.

D. Materials and Supplies

Cloud computing ($5,000/year): AWS credits for preliminary
analyses and data storage. Estimated 500 GPU-hours at $3/hour
plus 10 TB storage at $0.023/GB/month.

Software licenses ($2,000/year): MAT
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-08 · audit v0.4.1 · source sha e1ba289846fdfull audit observations/trust-audit/skill/brycewang-stanford__grant-budget-guide.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-08e1ba289846fdSAFEB89first audit
06

Questions

What does the Grant Budget Guide skill do?

🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.

Is Grant Budget Guide safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Grant Budget Guide access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does Grant Budget Guide work with?

Its documentation mentions openclaw. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (e1ba289846fd), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.

Advertisement