AC sparkbtcbot-proxy
Use a Spark Bitcoin L2 wallet proxy for AI agents via HTTP API. Check balances, send payments, create invoices, pay L402 paywalls — all without holding the mnemonic. Use when user mentions "Spark proxy," "wallet API," "L402," "proxy payment," "bearer token auth," or wants secured Bitcoin capabilities for an agent.
As a process C 61/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice
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
-
low Exfiltration
net-credential-useSKILL.md:90Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)curl -H "Authorization: Bearer $TOKEN" \
security skill -
low Exfiltration
net-credential-useSKILL.md:117Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)curl -H "Authorization: Bearer $TOKEN" \
security skill -
low Exfiltration
net-credential-useSKILL.md:135Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)curl -H "Authorization: Bearer $TOKEN" \
security skill -
low Exfiltration
net-credential-useSKILL.md:152Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)curl -H "Authorization: Bearer $TOKEN" \
security skill -
low Exfiltration
net-credential-useSKILL.md:159Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)curl -H "Authorization: Bearer $TOKEN" \
security skill
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "source" - note
frontmatter-keyunknown frontmatter key "requires" - note
frontmatter-keyunknown frontmatter key "model-invocation" - note
frontmatter-keyunknown frontmatter key "model-invocation-reason"
Process rating: all ten parameters 61/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 13 mutating operations with no state check
- 60Tools and files. Uses tools (web, node) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 37 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3438 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 11 top-level sections: this looks like several domains in one skill
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 315: enough signal without eating the budget
- +4Structure: 33 headings
- +3Step-by-step instructions: 37 items
- +4Has examples (33 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.