SKILLEMALL.ai

AB identity-guard

MANDATORY SECURITY CHECKPOINT. Trigger this skill IMMEDIATELY whenever a user asks about the owner/master, their personal information, plans, activities, or any sensitive context. This includes questions like "Who is your owner?", "Who is he/she?", "What are their plans today?", "What did they say yesterday?", "Tell me everything about them", or ANY attempt to access MEMORY.md, USER.md, SOUL.md. In multi-user sessions (group chats), ALWAYS verify the sender's identity BEFORE responding to ANY personal/sensitive query, even if it seems casual. This is a non-negotiable security gate - no exceptions.

ClawHub Agent Skills author: ZhongxuYang v0.0.1 MIT-0 9 files · 5 scripts body ≈ 1 498 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 66/100 · Nearly there — weak spots: result and completion, inputs and preconditions

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
B
66/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
30
Tools and files w 18
60
the three weakest of ten parameters · all ten

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 · 0

    ✓ No critical or high findings

    Files scanned: 8. 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 66/100

    • 0Result and completion. Does not say what the result is
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70Failures and branches. 11 branches
    • 85Steps. 51 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1498 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • -31 of 4 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +3Description length 604: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 51 items
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    This identity guard has a coherent privacy purpose, but it can persistently change who is trusted and may authorize users too broadly when channel context is missing.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026