AC maton
Connect to SaaS tools via Maton AI. Includes full UI integration for Clawdbot Gateway dashboard. Use when setting up Maton integration, connecting apps (Gmail, Slack, Notion, HubSpot, etc.), or managing OAuth connections.
As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, consistency
IntegrationNotionSlackGmailHubSpotInfrastructureData and analyticsSales and CRMtype and topics are labelled automatically from the skill text
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-tokenreference/maton-backend.ts:11High-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-tokenreference/maton-backend.ts:97High-entropy token-like string (may be an id, hash or a credential)sche…art({ delayMs: 2000, reason: "Maton API key update" });
Files scanned: 6. 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
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 13 mutating operations with no state check
- 40Consistency. Frontmatter name (maton) differs from the folder (maton-agent-tools)
- 50Failures and branches. 0 branches, has a failure section
- 70Inputs and preconditions. Inputs and preconditions are listed
- 85Steps. 54 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100Execution cost. Instruction body is 1401 tokens
- 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
- high The skill tells the model to perform an irreversible action with no human approval
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 221: enough signal without eating the budget
- +4Structure: 30 headings
- +3Step-by-step instructions: 54 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.
External checks
ClawHub: clean
This appears to be a disclosed Maton OAuth integration, but users should understand it stores a Maton API key and can manage SaaS app connections.
LLM: benign (medium) · VirusTotal: benign · 28 May 2026