SKILLEMALL.ai

AD new-hire-detection

Watch your whole market for people who just took a role you sell to, qualify the company each one joined against your ICP, and post the ones that fit to Slack with the verdict and the links. A deployed pipeline on a Sales Navigator job-change search; checking or writing the CRM is an optional variation. Triggers: "watch our market for new hires", "put new VPs of Sales in our market into HubSpot", "post in Slack when a new VP Sales joins a company in our ICP", "a decision-maker just joined a company in our market", "new KDM detection", "route new hires into the CRM", "tell the deal owner when a new decision-maker lands mid-deal", "run our new-hire play on a schedule". Cargo CDK, Sales Navigator, Slack, HubSpot, Salesforce, Attio. Skip when: your own CRM contacts may have moved jobs, which is track-job-changes; or you want a list of people once, which is find-b2b-leads.

ClawHub Agent Skills author: Cargo v0.1.0 MIT-0 17 files · 9 scripts body ≈ 4 718 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Watch your whole market for people who just took a role you sell to, qualify the company each one joined against your ICP, and post the ones that fit to Slack…

As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerSlackSalesforceHubSpotSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
D
47/100
Unfinished process
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
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: 15. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 47/100

    • 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. 23 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 70Execution cost. Instruction body is 4718 tokens
    • 100Steps. 24 steps
    • 100Consistency. Name and required fields are in place
    • 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)
    • +3Description length 880: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 8 example trigger phrases
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 24 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: suspicious
    The skill is mostly coherent for new-hire alerts, but it includes high-impact CRM-routing options and LLM-gated posting patterns that need careful review before use.
    LLM: suspicious (medium) · VirusTotal: · 2 Oct 2026