SKILLEMALL.ai

AB need-a-hug

Lightweight emotional first aid for agents. Use when the user is overwhelmed, ashamed, lonely, anxious, burned out, grieving, self-critical, frustrated, exhausted, or explicitly asks for comfort, encouragement, a hug, or emotional support. Manual triggers: /hug, /need-a-hug, need a hug, hug mode, 抱抱, 安慰我, 鼓励我, 陪我一下, 我撑不住了, 我崩溃了, 我想哭, 我好累, 我不行了. The agent becomes a warm comfort companion: counseling-like in empathy, but not therapy, diagnosis, or medical care.

ClawHub Agent Skills author: lonelymoon87 v0.3.4 MIT-0 7 files body ≈ 2 285 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, running it twice

AnalyzerAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
B
66/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
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: 7. 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
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 1 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 70Failures and branches. 11 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 85 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2285 tokens
    • 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

    • +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 463: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 85 items
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This is a disclosed comfort-response skill with some routing and language-behavior caveats, but no evidence of hidden access, unsafe execution, exfiltration, or destructive behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026