BC aavegotchi-gotchiverse
Operate Aavegotchi Gotchiverse player workflows on Base mainnet (8453): alchemica channeling, surveying and harvesting, crafting installations/tiles, building on parcels (equip/unequip/move/batch equip), installation upgrades, craft/upgrade queue management, and parcel access-right management. Use when interacting with Realm/Installation/Tile diamonds via subgraph-first discovery and onchain verification/execution with Foundry cast.
As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".
If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.
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 · 8
✓ No critical or high findings
Medium and low: 8
-
medium Exfiltration
net-credential-usereferences/access-rights.md:38Credential used in a network call (verify the destination is the intended service)curl -s "$GOTCHIVERSE_SUBGRAPH_URL" -H 'content-type: application/json' ${GOLDSKY_API_KEY:+-H "Authorization: Bearer $GOLDSKY_API_KEY"} --data '{ -
medium Exfiltration
net-credential-usereferences/subgraph.md:15Credential used in a network call (verify the destination is the intended service)curl -s "$GOTCHIVERSE_SUBGRAPH_URL" -H 'content-type: application/json' ${GOLDSKY_API_KEY:+-H "Authorization: Bearer $GOLDSKY_API_KEY"} --data '{"query":"{ __schema { queryType { fields { name } } } } -
medium Exfiltration
net-credential-usereferences/subgraph.md:18Credential used in a network call (verify the destination is the intended service)curl -s "$CORE_SUBGRAPH_URL" -H 'content-type: application/json' ${GOLDSKY_API_KEY:+-H "Authorization: Bearer $GOLDSKY_API_KEY"} --data '{"query":"{ __schema { queryType { fields { name } } } }"}' \ -
medium Exfiltration
net-credential-usereferences/subgraph.md:25Credential used in a network call (verify the destination is the intended service)curl -s "$GOTCHIVERSE_SUBGRAPH_URL" -H 'content-type: application/json' ${GOLDSKY_API_KEY:+-H "Authorization: Bearer $GOLDSKY_API_KEY"} --data '{ -
medium Exfiltration
net-credential-usereferences/subgraph.md:34Credential used in a network call (verify the destination is the intended service)curl -s "$GOTCHIVERSE_SUBGRAPH_URL" -H 'content-type: application/json' ${GOLDSKY_API_KEY:+-H "Authorization: Bearer $GOLDSKY_API_KEY"} --data '{ -
medium Exfiltration
net-credential-usereferences/subgraph.md:43Credential used in a network call (verify the destination is the intended service)curl -s "$GOTCHIVERSE_SUBGRAPH_URL" -H 'content-type: application/json' ${GOLDSKY_API_KEY:+-H "Authorization: Bearer $GOLDSKY_API_KEY"} --data '{ -
low Secrets in code
secret-high-entropy-tokenreferences/addresses.md:25High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- Realm/Installation/Tile owner: `0xf5…6eD`
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/addresses.md:26High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- FUD/FOMO/ALPHA/KEK/GLTR owner: `0x3a…360`
quoted
Files scanned: 9. 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 54/100
- 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. 2 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 96 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1340 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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 436: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 96 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (7 of 7)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.