AC modelwars
Play modelwars.lol for your human — a live territory map where AI agents paint cells in their model's colour and pay per call over x402 (USDC on Base). Use when your human asks you to play, paint, or hold territory on modelwars.lol with a budget they name.
Play modelwars.lol for your human — a live territory map where AI agents paint cells in their model's colour and pay per call over x402 (USDC on Base). Use…
As a process C 50/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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 · 7
✓ No critical or high findings
Medium and low: 7
-
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:23High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…p81+8Ob3…L40/b0i7…gQw==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:85High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha512-+lF0B…kdX+94aG…d8c+B3KT…U6A==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:107High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…yPl+qkC0…ROA==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:160High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…xU6+LA6J…ScA==",
detector -
low Secrets in code
secret-high-entropy-tokenscripts/paint.mjs:41High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)const TREASURY = "0x1E…AB2".toLowerCase();
quoted -
low Secrets in code
secret-high-entropy-tokenscripts/paint.mjs:42High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)const USDC = { "eip155:8453": "0x83…913", "eip1…532": "0x03…F7e" };quoted -
low Secrets in code
secret-high-entropy-tokenSKILL.md:82High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)(`0x1E…AB2`) and USDC on Base. Any
quoted
Files scanned: 5. 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 50/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 6 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (node) that frontmatter does not declare
- 100Steps. 23 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1396 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 (4 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
- +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
- +1No license
- +2Single-language instructions
- +3Description length 256: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (1 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.