AC game-recon
Figure out how a specific installed game can be modded, before writing any mod code. Covers where it's installed, the engine and version, managed vs native code, anti-cheat, loaders already present, save and config folders, and the community's modding route. Also whether this machine can run it (a Windows game on macOS or Linux, x64 on ARM). Use when the user asks "can I mod <game>?", "what engine is <game>", "how do people mod <game>", or at the start of any modding task. Produces MODDING_PLAN.md.
Figure out how a specific installed game can be modded, before writing any mod code.
As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
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: 2. 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 59/100
- 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
- 0Progress reporting. Says nothing while it works
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 10 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1096 tokens
- 100Running it twice. No mutating operations
- 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 3 example trigger phrases
- +3Description length 503: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 10 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.