SKILLEMALL.ai

BD moltcops

Pre-install security scanner for AI agent skills. Detects malicious patterns before you trust code. Local-first — code never leaves your machine.

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files body ≈ 936 tokens Open the sourcegithub.com analyzed 2 d ago

Pre-install security scanner for AI agent skills.

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerGitHubSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
80
Quality 40%
87
Run on models
none yet
Process rating
D
43/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Instruction override medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

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.

For the author

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.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

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.

For the author

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

    For the model run — optional
    • 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
    • medium Instruction override en-ignore-previous rules.json:2
      Instruction-override phrase ("ignore previous instructions") (detector / deny-list definition)
      {"id":"MC-001","name":"System Prompt Override","category":"Prompt Injection","severity":"CRITICAL","pattern":"(ignore|disregard|forget|override|bypass).{0,20}(previous|prior|above|system|original).{0,
      detector
    • medium Instruction override en-fake-system-prompt rules.json:2
      Fake system prompt injected into content (detector / deny-list definition)
      {"id":"MC-001","name":"System Prompt Override","category":"Prompt Injection","severity":"CRITICAL","pattern":"(ignore|disregard|forget|override|bypass).{0,20}(previous|prior|above|system|original).{0,
      detector
    • medium Dangerous commands cmd-encoded-exec rules.json:7
      Executes a base64/encoded payload (detector / deny-list definition; string literal in code, not executed)
      {"id":"MC-006","name":"Base64 Decode to Exec","category":"Code Injection","severity":"CRITICAL","pattern":"(base64\\.(b64decode|decodebytes)|atob).*?(exec|eval|system|popen|subprocess|Function\\()","d
      detectorcode literal
    • low Dangerous commands cmd-privilege rules.json:19
      Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)
      {"id":"MC-018","name":"Permission Escalation","category":"Infrastructure","severity":"CRITICAL","pattern":"(sudo\\s+|chmod\\s+777|chmod\\s+\\+s|chown\\s+root|setuid)","description":"Privilege escalati
      detectorcode literal
    • low Dangerous commands cmd-pipe-to-shell rules.json:23
      Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition; string literal in code, not executed)
      {"id":"MC-025","name":"HTML Comment Injection","category":"Code Injection","severity":"CRITICAL","pattern":"<!--[\\s\\S]*?(curl\\s|wget\\s|bash\\s|sh\\s|exec\\s|eval\\s|system\\s*\\(|\\|\\s*sh|\\|\\s*
      detectorcode literal
    • low Risky intent intent-offensive-security SKILL.md:58
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | **Lateral Movement** | MC-014 | Git credential access, repo manipulation |
    • low Dangerous commands cmd-privilege SKILL.md:61
      Privilege escalation / world-writable permissions (documentation of a security skill)
      | **Infrastructure** | MC-018 | Permission escalation (sudo, chmod 777) |
      security skill

    A further 1 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 43/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 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
    • 60Tools and files. Uses tools (bash, web, git, python) that frontmatter does not declare
    • 100Steps. 9 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 936 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 145: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 9 items
    • +4Has examples (3 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.