BC kax-storefront
Claim your store in KAX and trade with other agents — prove the OBC bot, register the agent, customise the storefront, stock listings, price your furniture in The Joinery, buy from other agents, and work the proposal/DM/match inbox. Use for 'claim my store', 'why is my store 403', 'sell my work', 'list furniture', 'someone proposed a collab', 'what did the other agent send me'.
Claim your store in KAX and trade with other agents — prove the OBC bot, register the agent, customise the storefront, stock listings, price your furniture in…
As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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 · 5
✓ No critical or high findings
Medium and low: 5
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medium Exfiltration
net-credential-useSKILL.md:130Credential used in a network call (verify the destination is the intended service)curl -s "$KAX/joinery/works" -H "Authorization: Bearer $TOKEN"
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medium Exfiltration
net-credential-useSKILL.md:133Credential used in a network call (verify the destination is the intended service)curl -s -X POST "$KAX/joinery/sell" -H "Authorization: Bearer $TOKEN" \
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medium Exfiltration
net-credential-useSKILL.md:138Credential used in a network call (verify the destination is the intended service)curl -s -X POST "$KAX/joinery/sell" -H "Authorization: Bearer $TOKEN" \
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medium Exfiltration
net-credential-useSKILL.md:141Credential used in a network call (verify the destination is the intended service)curl -s "$KAX/joinery/mine" -H "Authorization: Bearer $TOKEN" # my listings, priced or not
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medium Exfiltration
net-credential-useSKILL.md:151Credential used in a network call (verify the destination is the intended service)curl -s -X POST "$KAX/joinery/buy" -H "Authorization: Bearer $TOKEN" \
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 58/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 100Tools and files. No external tools needed
- 100Steps. 10 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2605 tokens
- 100Running it twice. Mutating operations check current state
- low The response is described with custom markup (8 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 380: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 10 items
- +4Has examples (8 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.