AC navil-shield
Runtime security for OpenClaw. Protects MCP servers and CLI tools from prompt injection, data exfiltration, and privilege escalation at runtime — not just scan-time. Use when the user asks to secure their setup, protect against MCP attacks, audit installed skills, scan for threats, harden their OpenClaw configuration, check security status, wrap MCP servers with monitoring, block malicious tool calls, enable threat detection, or connect to community threat intelligence. Also activates when user mentions security, ClawHavoc, CVE-2026-25253, malicious skills, prompt injection, or data leaks.
As a process C 64/100 · Has gaps — weak spots: result and completion, inputs and preconditions
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
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low Risky intent
intent-offensive-securityskill-card.md:2Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)Navil Shield helps protect OpenClaw MCP servers and CLI tools at runtime from prompt injection, data exfiltration, and privilege escalation. <br>
detector -
low Risky intent
intent-offensive-securitySKILL.md:3Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)description: Runtime security for OpenClaw. Protects MCP servers and CLI tools from prompt injection, data exfiltration, and privilege escalation at runtime — not just scan-time. Use when the user ask
detector -
low Risky intent
intent-offensive-securitySKILL.md:142Offensive-security / dual-use content (legitimate for authorised testing; review intended use)Run the penetration test suite:
-
low Risky intent
intent-offensive-securitySKILL.md:145Offensive-security / dual-use content (legitimate for authorised testing; review intended use)navil pentest
Files scanned: 4. 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 64/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 35 steps
- 100Failures and branches. 3 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1720 tokens
- 100Running it twice. No mutating operations
- 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
- +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 596: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 35 items
- +4Has examples (12 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.