AC mod-any-game
Mod a PC game the user owns, taking an idea to working in the real game and recorded. It covers new items, weapons, enemies, bosses, units, civilizations, mechanics, art, sound, VR and cross-game mashups. Use when the user wants to mod, extend, hack on, reverse engineer or mash up a game ("add a nuke to Terraria", "make a new civ for Age of Empires", "put Minecraft inside X", "can I mod this game?"). It covers recon (engine, loaders, anti-cheat), choosing the route, a safe lab, a first vertical slice, fal-generated assets, in-game verification and a showcase clip.
Mod a PC game the user owns, taking an idea to working in the real game and recorded.
As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
The same skill appears in 2 more places: universal-modder, universal-modder
How to improve
- 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: 19. 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 58/100
- 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. 10 mutating operations with no state check
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 85Steps. 50 steps, 1 vague phrases
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2950 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 The response is described with custom markup (12 tags): a typed call is more reliable
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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 570: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 50 items
- +4Has examples (0 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.