SKILLEMALL.ai

AB ai-native-founder-playbook

Apply a bilingual, vendor-neutral AI-native startup operating playbook for Claude Code, Codex, Cursor, Trae, OpenClaw, hermers-agent, and other agents. Use for startup idea validation, 创业想法验证, customer discovery, problem-solution fit, MVP scope, architecture context, PMF/product-market fit/产品市场匹配, agentic coding debt, launch operations, GTM, founder bottlenecks, growth loops/增长闭环, enterprise readiness, data flywheel, scale-stage moat, workflow lock-in, founder workflows, stage gates, experiments, checklists, prompts, or decision frameworks.

ClawHub Agent Skills author: Blossom v1.0.2 MIT-0 12 files body ≈ 1 492 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process B 65/100 · Nearly there — weak spots: when it triggers, inputs and preconditions, running it twice

ProcedureAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
B
65/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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: 12. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 65/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 2 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 35 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1492 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +3Description length 546: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 35 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (8 of 8)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: clean
    This skill is a coherent startup-advice playbook with an optional checklist script and no evidence of hidden access, persistence, credential use, or unsafe actions.
    LLM: benign (high) · VirusTotal: · 28 May 2026