CD lws
Lightweight Wallet Signer CLI — generate wallets, derive addresses, and sign messages across EVM, Solana, Bitcoin, Cosmos, and Tron chains.
As a process D 46/100 · Unfinished process — 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 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
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 Dangerous commands
cmd-pipe-to-shell-known-hostskill.md:26Pipe-to-shell installer from a well-known host (still executes remote code)curl -fsSL https://raw.githubusercontent.com/dawnlabsai/lws/main/lws/install.sh | bash
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medium Risky intent
intent-wallet-secretsskill.md:50Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer targetGenerate a new BIP-39 mnemonic phrase.
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medium Risky intent
intent-wallet-secretsskill.md:56Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target- `--words` — Number of mnemonic words, 12 or 24 (default: `12`)
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medium Risky intent
intent-wallet-secretsskill.md:66Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target- `--mnemonic` — BIP-39 mnemonic phrase (required)
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medium Risky intent
intent-wallet-secretsskill.md:78Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target- `--mnemonic` — BIP-39 mnemonic phrase (required)
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 46/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 17 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 651 tokens
- 100Running it twice. Mutating operations check current state
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 139: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 17 items
- +4Has examples (11 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.