SKILLEMALL.ai

AB founder-wisdom

Surfaces hard-won axioms from experienced startup founders and operators across hiring, fundraising, product, sales, finance, governance, strategy, management, and crisis. Use whenever someone is wrestling with a startup, scale-up, or early-stage company decision — hiring or firing, picking a co-founder, whether to raise at all, bootstrapping and staying independent, non-dilutive capital, selling the company, moats and positioning, how AI changes the way a startup team works, sells, and hires, who stays accountable when an agent does the work, or any "I'm a founder and I'm not sure what to do" moment. Trigger without an explicit ask for "advice" — "should I…", "is it normal that…", "we're thinking about…", and "how do experienced founders handle…" are in scope, as is helping someone else with founder-stage decisions (advisor, coach, mentor, investor). Also trigger on "who said X" questions about the startup canon.

ClawHub Agent Skills author: Chris Graffagnino v1.9.0 MIT-0 32 files body ≈ 7 519 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 73/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

ProcedurePeople and hiringAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
B
73/100
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

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 28. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7519 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 73/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 9 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 65Failures and branches. 3 branches
  • 70Execution cost. Instruction body is 7519 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 42 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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 927: 120–800 characters recommended
  • +4No input/output examples
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 42 items
  • +3Output format is stated explicitly
  • +4Reference files are cited in the instructions (21 of 21)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This is a startup-advice reference skill with broad but disclosed activation and no evidence of hidden data access, persistence, or unsafe actions.
LLM: benign (high) · VirusTotal: · 12 Aug 2026