SKILLEMALL.ai

AC discord-connect-hub

Complete Discord integration for Clawdbot with automatic UI installation. Provides Discord bot connectivity, dashboard tab, setup wizard, credential management, server monitoring, and plugin architecture hooks. Use when setting up Discord channel integration or adding Discord tab to the Control dashboard. Includes automatic installation of UI components, RPC handlers, and navigation updates.

modbender/skill-library-mcp Agent Skills author: modbender MIT 12 files body ≈ 2 034 tokens Open the sourcegithub.com analyzed 2 d ago

Complete Discord integration for Clawdbot with automatic UI installation.

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

IntegrationDiscordData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
98
Quality 40%
91
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Secrets in code secret-high-entropy-token assets/discord-backend.ts:12
      High-entropy token-like string (may be an id, hash or a credential)
      import { sche…art } from "../../infra/restart.js";
    • low Secrets in code secret-high-entropy-token assets/discord-backend.ts:417
      High-entropy token-like string (may be an id, hash or a credential)
      const restart = sche…art({

    Files scanned: 12. 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
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (discord-connect-hub) differs from the folder (discord-connect-ui)
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Steps. 84 steps
    • 100Execution cost. Instruction body is 2034 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 12 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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 394: enough signal without eating the budget
    • +4Structure: 27 headings
    • +3Step-by-step instructions: 84 items
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 3 scripts are documented

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