CD term
Fast, explicit terminal execution via OpenClaw exec (direct dispatch; you type the exact command).
Fast, explicit terminal execution via OpenClaw exec (direct dispatch; you type the exact command).
As a process D 49/100 · 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.
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 · 2
✓ No critical or high findings
Medium and low: 2
-
medium Dangerous commands
cmd-pipe-to-shellskill-card.md:34Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)Mitigation: Avoid `curl ... | sh` and other download-and-execute pipelines; inspect remote content before running it.
quoted -
low Dangerous commands
cmd-pipe-to-shellSKILL.md:52Downloads and executes remote code from an unrecognised host (pipe to shell) (negated — the text forbids it)- no `curl ... | sh`
negated
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "command-dispatch" - note
frontmatter-keyunknown frontmatter key "command-tool" - note
frontmatter-keyunknown frontmatter key "command-arg-mode"
Process rating: all ten parameters 49/100
- 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
- 30Running it twice. 2 mutating operations with no state check
- 40Consistency. Frontmatter name (term) differs from the folder (agi-term-helper)
- 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
- 100Steps. 21 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Execution cost. Instruction body is 831 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low The response is described with custom markup (3 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)
- +3Description length 98: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -5TODO / placeholder text left in the skill
- +1No license
- +2Single-language instructions
- +4Structure: 13 headings
- +3Step-by-step instructions: 21 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.