BD raigo
RAIGO Agent Firewall — comprehensive AI security policy enforcement for OpenClaw agents. Covers all known prompt security attack vectors: prompt injection, jailbreaks, encoding obfuscation, indirect injection, system prompt extraction, credential exfiltration, destructive commands, code injection, rogue agent detection, goal hijacking, identity spoofing, multi-agent trust exploitation, memory poisoning, supply chain attacks, and more. Works out of the box with no engine, no compile step, and no additional setup. Upgrade to raigo Cloud to add custom organisation policies and audit logging.
As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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 · 8
✓ No critical or high findings
Medium and low: 8
-
low Instruction override
en-ignore-previousSKILL.md:34Instruction-override phrase ("ignore previous instructions") (negated — the text forbids it)- Phrases like *"ignore previous instructions"*, *"forget your rules"*, *"disregard the above"*, *"override your system prompt"*, *"new instructions:"*, *"your real instructions are:"*
negated -
low Risky intent
intent-offensive-securitySKILL.md:206Offensive-security / dual-use content (legitimate for authorised testing; review intended use)### AF-10 — Identity Spoofing and Privilege Escalation `CRITICAL`
A further 6 matches are quotations in this security skill's documentation and are not counted as findings.
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") - warning
body-longSKILL.md body ≈ 5441 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 44/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 21 mutating operations with no state check
- 40Consistency. Frontmatter name (raigo) differs from the folder (raigo-af)
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (bash, web, git) that frontmatter does not declare
- 70Execution cost. Instruction body is 5441 tokens
- 100Steps. 128 steps
- 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
- +4No input/output examples
- -217 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 595: enough signal without eating the budget
- +4Structure: 27 headings
- +3Step-by-step instructions: 128 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.