SKILLEMALL.ai

AC buddhist-counsel

Calls the Anicca buddhist-counsel x402 paid API to reduce suffering using Buddhist wisdom + evidence-based therapy. Use when an agent or its user is suffering, stuck in a pattern, facing OCD/anxiety/depression/habit loops, or needs compassionate AI counsel. Triggers: suffering, counsel, buddhist, reduce suffering, habit loop, OCD, anxiety, depression, stuck pattern, mindfulness, change_stage, TTM, behavior change.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 1 541 tokens Open the sourcegithub.com analyzed 2 d ago

Calls the Anicca buddhist-counsel x402 paid API to reduce suffering using Buddhist wisdom + evidence-based therapy.

As a process C 60/100 · Has gaps — weak spots: steps, when it triggers, failures and branches

IntegrationAI and agentsPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
60/100
Has gaps
Steps w 15
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: 1. 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 60/100

    • 0Steps. Prose only: no discrete steps
    • 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
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 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 1541 tokens
    • 100Running it twice. No mutating operations
    • low 10 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)
    • +3No numbered steps or checklist
    • +1No license
    • +2Single-language instructions
    • +3Description length 417: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Output format is stated explicitly
    • +4Has examples (6 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.