BC ape-claw
Use the ape-claw CLI to bridge to ApeChain and execute NFT quote/simulate/buy flows with strict policy gating, confirm phrases, and telemetry. Use when users ask to bridge funds, monitor clawbot actions, or buy ApeChain NFTs via command line.
As a process C 61/100 · Has gaps — weak spots: result and completion, when it triggers, 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 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.
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-shellSKILL.md:12Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)This skill is designed to be used by [OpenClaw](https://openclaw.ai) AI agents (clawbots). Install OpenClaw first (`curl -fsSL https://openclaw.ai/install.sh | bash`), then add this skill to give your
quoted -
medium Dangerous commands
cmd-pipe-to-shell-known-hostSKILL.md:31Pipe-to-shell installer from a well-known host (still executes remote code)curl -fsSL https://raw.githubusercontent.com/simp…r69/ape-claw/main/install.sh | bash
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medium Dangerous commands
cmd-pipe-to-shellSKILL.md:318Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)- **Install OpenClaw**: `curl -fsSL https://openclaw.ai/install.sh | bash` or `npm i -g openclaw && openclaw onboard`
quoted
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 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. 3 mutating operations with no state check
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 32 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2540 tokens
- low 10 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
- +4Description does not say when NOT to use the skill (false activations)
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 242: enough signal without eating the budget
- +4Structure: 31 headings
- +3Step-by-step instructions: 32 items
- +3Output format is stated explicitly
- +4Has examples (28 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.