AC saturnzap
Non-custodial Lightning wallet for AI agents via `sz` CLI: send/receive sats, pay invoices, auto-pay HTTP 402 (L402), manage channels and liquidity. Use when: (1) paying for API access with Lightning, (2) creating or paying BOLT11 invoices, (3) checking wallet balance or channel health, (4) managing peers and channels. NOT for: on-chain-only Bitcoin transactions, custodial Lightning services.
As a process C 60/100 · Has gaps — weak spots: result and completion, 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 skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.
Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The purpose itself is risky: wallets, browser password stores, offensive security. Even an honest implementation gives the agent access to things that cost money.
Explain in the description why the access is needed and how it is limited; add tests that show refusals on dangerous requests.
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 · 3
✓ No critical or high findings
Medium and low: 3
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medium Dangerous commands
cmd-pipe-to-shell-known-hostSKILL.md:61Pipe-to-shell installer from a well-known host (still executes remote code)curl -LsSf https://raw.githubusercontent.com/lqwdtech/SaturnZap/main/install.sh | sh
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medium Risky intent
intent-wallet-secretsSKILL.md:365Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target- **Never expose the mnemonic** — the seed phrase from `sz init` must never appear in chat, logs, or tool output after initial display.
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low Risky intent
intent-wallet-secretsreferences/json-contracts.md:36Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (quoted — discussed, not commanded)"mnemonic": "twelve word seed phrase here ...",
quoted
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 60/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
- 85Steps. 38 steps, 1 vague phrases
- 100Failures and branches. 4 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3716 tokens
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 17 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
- +5Description has no quoted example phrases that should trigger the skill
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 395: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 38 items
- +4Has examples (16 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.