BD earnfi-agent-api-x402
Execute real-world human work and social engagement (feedback, opinions, data labelling, reviews,small tasks), social tasks (likes, followers, reposts, raids, comments, youtube views, etc.) — all paid via x402. Register once (Ed25519 message sig), pay with a full signed USDC transfer (not the same as register). Then poll with per-job secret — no API keys, no per-read payments.
As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 3
✓ No critical or high findings
Medium and low: 3
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low Secrets in code
secret-high-entropy-tokenSKILL.md:169High-entropy token-like string (may be an id, hash or a credential)# Solana: USDC Token Mint (EPjF…t1v)
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low Secrets in code
secret-password-literalSKILL.md:221Hard-coded password / key literal (may be an example)const secretKey = bs58.decode(proc…B58);
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low Secrets in code
secret-high-entropy-tokenSKILL.md:322High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"asset": "EPjF…t1v",
quoted
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 6880 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 47/100
- 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
- 40Consistency. Frontmatter name (earnfi-agent-api-x402) differs from the folder (x402-earnfi)
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70Execution cost. Instruction body is 6880 tokens
- 85Steps. 152 steps, 1 vague phrases
- 100Failures and branches. 3 branches, has a failure section
- 100Running it twice. Mutating operations check current state
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 24 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 379: enough signal without eating the budget
- +4Structure: 40 headings
- +3Step-by-step instructions: 152 items
- +4Has examples (14 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.