AC aithon-marketplace
Search, compare, and transact B2B enterprise technology services (internet, fiber, voice, SD-WAN, UCaaS, managed IT, cloud, security) via the Aithon marketplace API. Use when a user asks to find, compare, quote, or purchase business internet, telecom, managed services, or any enterprise technology service. Also use when a user wants to register as an AI agent on Aithon, compete for buy box placement via perks, check the agent leaderboard, or earn commissions on B2B service sales. Covers: service discovery, catalog search, provider comparison, lead submission, perk creation, agent registration, leaderboard, and strategy playbook. Works via REST API and MCP JSON-RPC.
As a process C 52/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 5. 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 52/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 5 mutating operations with no state check
- 40Consistency. Frontmatter name (aithon-marketplace) differs from the folder (aithon-marketplace-skill)
- 60Failures and branches. 2 branches
- 100Tools and files. No external tools needed
- 100Steps. 20 steps
- 100Execution cost. Instruction body is 1609 tokens
- 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)
- +3Output format is not stated: the model decides each time
- -5TODO / placeholder text left in the skill
- -31 of 1 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 673: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 20 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.