SKILLEMALL.ai

AC nemoclaw-email-policy

Enforce email safety policies at the network level with NemoClaw. Use when user says "email policy," "send guardrail," "prevent accidental send," "email allowlist," "NemoClaw email," "outlook policy," "agent email security," "email sandbox," or "enterprise email safety." Covers NemoClaw setup, the Outlook preset, and policy enforcement for production email agents.

ClawHub Agent Skills author: Steven Obiajulu v0.1.1 MIT-0 2 files body ≈ 1 493 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Enforce email safety policies at the network level with NemoClaw.

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice

IntegrationOutlookGitHubAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
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: 2. 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 56/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 20 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 20 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1493 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +5Description quotes 9 example trigger phrases
    • +3Description length 366: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 20 items
    • +4Has examples (5 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: suspicious
    This documentation-only skill is mostly coherent, but its default Outlook policy leaves Microsoft Graph send-capable POST access open despite being advertised as an email send guardrail.
    LLM: suspicious (high) · VirusTotal: · 16 Sept 2026