SKILLEMALL.ai

AC persian-success-lab

Run the user's personal "Success Lab" — a long-running, evidence-based research-and-experiment system investigating what actually causes success and what improves the user's own outcomes. Use this skill whenever the user invokes commands like `today`, `question [topic]`, `experiment [hypothesis]`, `review`, `dashboard`, or `audit` in this context, or asks to run their daily research session, log an experiment, review their research log, see their success-lab dashboard, or challenge their current model of success. Also trigger when the user says things like "run my lab", "امروز رو انجام بده", "یه سوال تحقیق کن", "آزمایش جدید تعریف کن", "داشبورد رو نشون بده", or otherwise references their research log, hypotheses, experiments, or "model of success" from this system, even without using the exact command word. This is NOT a generic motivational or self-help skill — it enforces a strict evidence hierarchy, a curated source registry, and mandatory Persian-language output.

ClawHub Agent Skills author: Ehsan Ghaffar v0.1.1 MIT-0 7 files body ≈ 1 887 tokens Open the sourceclawhub.ai↗ analyzed 9 d ago

Run the user's personal "Success Lab" — a long-running, evidence-based research-and-experiment system investigating what actually causes success and what…

As a process C 61/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerData and analyticsResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 6. 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 61/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 25 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1887 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • medium 2 test cases, all positive: not one "should refuse" or "should ask first"

    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 980: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 25 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This is a coherent Persian-language research and experiment journaling skill with disclosed web research and file-update behavior.
    LLM: benign (high) · VirusTotal: · 8 Oct 2026