SKILLEMALL.ai

BB port-a-mod

Port an existing mod to a newer game version or another mod loader while keeping its behaviour, values and quirks. Typical cases are an old Forge 1.7.10 or 1.12 Minecraft mod moving to modern Fabric or NeoForge, a Skyrim LE plugin moving to SE/AE, or a tModLoader 1.3 mod moving to 1.4. It covers pinning one source version, a private decompiled reference, an adaptation matrix, extracting the mod's data with scripts instead of retyping it, porting unit by unit with tests that catch drift, real-client checks, audits against the original, and keeping a long port resumable across sessions and agents. Use when the user wants to update, port, revive or re-implement a mod that already exists, or to continue such a port.

rehan-remade/universal-modder Agent Skills author: rehan-remade MIT 2 files body ≈ 3 864 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Port an existing mod to a newer game version or another mod loader while keeping its behaviour, values and quirks.

As a process B 71/100 · Nearly there — weak spots: result and completion, running it twice

AnalyzerGitHubAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
B
71/100
Nearly there
Result and completion w 14
0
Running it twice w 4
30
Failures and branches w 10
50
the three weakest of ten parameters · all ten

The same skill appears in 2 more places: universal-modder, universal-modder

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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note edit-residue the text marks something as outdated (lines 47, 52, 98, 100, 192): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 71/100

    • 0Result and completion. Does not say what the result is
    • 30Running it twice. 17 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 116 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3864 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 11 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 721: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 116 items
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.