AD dollar-platoon
Peer-to-peer task payroll marketplace on Base L2. Clients create USDC-funded gigs, distribute tasks to gigworkers via email/webhook mailboxes, review proofs of work, and pay out on-chain. Reputation-driven with no dispute resolution. Use when: (1) Creating or joining gigs, (2) Submitting or reviewing proofs, (3) Managing wallets and payouts, (4) Understanding pricing or marketplace dynamics, (5) Integrating via webhook or public submit link. Triggers: dollar platoon, gig payroll, micro-gig, proof review, rollup payout, volunteer mailbox, task distribution, reputation system, treasury contract, recommended prices, how it works.
Peer-to-peer task payroll marketplace on Base L2.
As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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
- warning
body-longSKILL.md body ≈ 9354 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 48/100
- 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. 40 mutating operations with no state check
- 40Execution cost. Instruction body is 9354 tokens: crowds the task out of the window
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 85Steps. 86 steps, 3 vague phrases
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 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 634: enough signal without eating the budget
- +4Structure: 73 headings
- +3Step-by-step instructions: 86 items
- +4Has examples (35 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.