SKILLEMALL.ai

AC solo-leveling

Solo Leveling — a life RPG skill that turns real-world habits into an addictive progression system. Inspired by the manhwa Solo Leveling, this skill features 6 stats (STR/INT/VIT/AGI/PER/CHA), ranks F through S, daily quests, dungeons, titles, and AI-verified accountability. Works with any habits or goals — fitness, coding, studying, creative work, or anything else. The System is cold, ruthless, and never lets you cheat. Use when the user wants to: track habits as quests, check their stats/rank/level, complete or report on daily quests, receive daily quest assignments, get their hunter status card, start or check dungeon progress, or anything related to "The System", leveling up, or gamified habit tracking. Also triggers on: "quest", "rank", "level up", "stats", "hunter status", "dungeon", "streak", "XP", "The System", "arise", "solo leveling".

modbender/skill-library-mcp Agent Skills author: modbender MIT 14 files body ≈ 2 053 tokens Open the sourcegithub.com analyzed 2 d ago

Solo Leveling — a life RPG skill that turns real-world habits into an addictive progression system.

As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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: 14. 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 56/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 5 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 72 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2053 tokens
    • 100Progress reporting. Reports progress
    • low 12 top-level sections: this looks like several domains in one skill

    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 856: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -32 of 3 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 72 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.