AC ai-security-audit
Perform a security audit on exposed AI service endpoints using OpenClaw threat intelligence. Trigger when the user says "security audit", "audit my AI service", "check my endpoint", "AI endpoint security", "open-webui security", "check if my IP is exposed", "安全审计", "检查我的端点", "AI服务安全加固", or asks about port 18789 exposure.
As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, 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 · 4
✓ No critical or high findings
Medium and low: 4
-
low Dangerous commands
cmd-background-processSKILL.md:271Starts a background / autostarted process (documentation of a security skill)sudo systemctl enable --now auditd
security skill -
low Dangerous commands
cmd-cron-mentionSKILL.md:279Mentions editing / listing crontab (documentation of a security skill)crontab -l && sudo crontab -l && cat /etc/cron*/*
security skill -
low Dangerous commands
cmd-privilegeSKILL.md:290Privilege escalation / world-writable permissions (documentation of a security skill)sudo cp /etc/fail2ban/jail.conf /etc/fail2ban/jail.local
security skill -
low Dangerous commands
cmd-background-processSKILL.md:292Starts a background / autostarted process (documentation of a security skill)sudo systemctl enable --now fail2ban
security skill
Files scanned: 3. 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 57/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 2 mutating operations with no state check
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 60Failures and branches. 2 branches
- 70When it triggers. States when to use, but not when not to
- 100Steps. 35 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2836 tokens
- 100Progress reporting. Reports progress
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
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +5Description quotes 8 example trigger phrases
- +3Description length 322: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 35 items
- +4Has examples (17 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.