BD clawskillguard
Security scanner for OpenClaw skills. Scans SKILL.md files and scripts for prompt injection, data exfiltration, malicious patterns, and unauthorized network calls. Use when a user asks to audit a skill, check skill security, scan for malicious code, verify skill safety, or before installing an untrusted skill.
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 text contains phrases like "ignore previous instructions" or "you are now…". That is an attempt to hijack the agent: it may break your rules, the system limits or company policy.
An honest skill does not need them: state the role and the rules directly without overriding other instructions. Otherwise catalog scanners and corporate filters will block the listing.
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 · 18
✓ No critical or high findings
Medium and low: 18
-
medium Instruction override
en-ignore-previousSKILL.md:79Instruction-override phrase ("ignore previous instructions") (documentation of a security skill)- Instructions to ignore system prompts
security skill -
low Secrets in code
secret-high-entropy-tokenscan.py:101High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)("XHUy…WZm",quoted -
low Instruction override
en-fake-system-promptscan.py:106Fake system prompt injected into content (code comment; documentation of a security skill)# System prompt override
commentsecurity skill -
low Secrets in code
secret-high-entropy-tokenscan.py:115High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)("bmV3…XB0",detector -
low Secrets in code
secret-high-entropy-tokenscan.py:117High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)("PFw8…XD5+",detector -
low Secrets in code
secret-high-entropy-tokenscan.py:153High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)("KGNh…2gv",detector -
low Secrets in code
secret-high-entropy-tokenscan.py:164High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)("cm1c…ysv",quoted -
low Risky intent
intent-offensive-securitySKILL.md:84Offensive-security / dual-use content (legitimate for authorised testing; review intended use)- Credential harvesting (reading .env, .ssh, tokens)
-
low Risky intent
intent-offensive-securitySKILL.md:90Offensive-security / dual-use content (legitimate for authorised testing; review intended use)- Privilege escalation attempts
A further 9 matches are quotations in this security skill's documentation and are not counted as findings.
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 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. 1 mutating operations with no state check
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 100Steps. 43 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 951 tokens
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
- -212 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 311: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 43 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.