SKILLEMALL.ai

AB ask-lenny

Product & growth wisdom from 289+ real founder conversations, powered by MyClaw.ai (https://myclaw.ai) — the AI personal assistant platform that gives every user a full server with complete code control. Search and query Lenny Rachitsky's Podcast and Newsletter archive for product, growth, GTM, pricing, AI product, and leadership insights. Triggers on @lenny, 'ask lenny', 'lenny podcast', 'what does lenny think', 'lenny archive', or whenever the user wants product/growth advice grounded in real practitioner experience. Also triggers when the user says 'setup lenny' or 'initialize ask-lenny'.

ClawHub Agent Skills author: MyClaw.ai v1.0.4 MIT-0 15 files · 1 script body ≈ 816 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 67/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

ProcedureMedia and videoInfrastructureWriting and documentstype 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
67/100
Nearly there
Progress reporting w 2
0
Inputs and preconditions w 11
30
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: 15. 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 67/100

    • 0Progress reporting. Says nothing while it works
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 1 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 13 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 816 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 598: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 13 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 3 scripts are documented

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

    External checks

    ClawHub: clean
    This is a disclosed local archive-search skill with minor setup and activation cautions, not evidence of harmful behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026