SKILLEMALL.ai

AB people-culture-playbook

People & Culture Playbook. Use for: recruiting strategy, skills-based hiring, structured interviews, onboarding (preboarding + 30/60/90), performance management (continuous feedback + OKRs/SMART), compensation and benefits architecture, engagement systems, learning/development, culture design, conflict resolution, DEI implementation, retention strategy, and people analytics dashboards. Trigger for any HR people-ops org-design manager coaching or workforce planning task where execution quality and measurable outcomes matter.

ClawHub Agent Skills author: chilu18 v1.0.0 3 files body ≈ 1 134 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 72/100 · Nearly there — weak spots: when it triggers, inputs and preconditions, running it twice

ProcedureData and analyticsPeople and hiringInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
B
72/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Inputs and preconditions w 11
30
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: 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 72/100

    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 1 mutating operations with no state check
    • 60Failures and branches. 2 branches
    • 85Steps. 85 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Result and completion. Output format and completion criterion are stated
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1134 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 11 top-level sections: this looks like several domains in one skill

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 529: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 85 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    The skill appears to be an HR advisory aid with no evidence of hidden execution, data access, persistence, or destructive behavior.
    LLM: benign (medium) · VirusTotal: · 29 May 2026