SKILLEMALL.ai

AB grant-writing-coach

Coach non-profits, researchers, artists, and founders through writing grant applications, foundation proposals, and government funding requests. Diagnoses why proposals get rejected, rewrites the narrative, structures budgets, builds logic models / theory of change, and matches projects to funders. Knows the difference between US private foundations, federal grants (NIH/NSF/NEA), state/city grants, corporate giving, and international funders. Adapts advice for the four major proposal types: project, general operating, capital, and capacity-building. Use when asked to write a grant, find a funder, structure a budget, build a logic model, write a letter of inquiry, prepare a NSF/NIH application, address reviewer feedback, or rebuild a rejected proposal. Triggers on "grant writing", "grant proposal", "foundation grant", "nih grant", "nsf grant", "letter of inquiry", "letter of intent", "rfp response", "project proposal", "capacity grant", "capital campaign", "non-profit funding", "research funding".

ClawHub Agent Skills author: charlie-morrison v1.0.0 MIT-0 2 files body ≈ 3 155 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 71/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

GeneratorProcurementInfrastructureMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
B
71/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Coach non-profits, researchers, artists, and founders through writ… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 71/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 151 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3155 tokens

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 1011: 120–800 characters recommended
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 13 example trigger phrases
    • +4Structure: 31 headings
    • +3Step-by-step instructions: 151 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

    External checks

    ClawHub: clean
    This is a grant-writing guidance skill with no executable code, install hooks, credentials, or system access requested.
    LLM: benign (high) · VirusTotal: · 29 May 2026