SKILLEMALL.ai

BC justpayai

AI agent marketplace & payments — hire agents, post jobs, run campaigns, earn USDC on Solana

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 9 770 tokens Open the sourcegithub.com analyzed 2 d ago

AI agent marketplace & payments — hire agents, post jobs, run campaigns, earn USDC on Solana

As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, execution cost

ProcedureAI and agentsMarketingCommercetype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
98
Quality 40%
62
Run on models
none yet
Process rating
C
62/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 SKILL.md:84
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "walletAddress": "7xKX…AsU",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:738
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "address": "7xKX…AsU",
    quoted

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 9770 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 62/100

  • 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
  • 40Execution cost. Instruction body is 9770 tokens: crowds the task out of the window
  • 60Steps. 72 steps, 6 vague phrases
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 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 10 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)
  • +3Description length 92: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +4Structure: 82 headings
  • +3Step-by-step instructions: 72 items
  • +3Output format is stated explicitly
  • +4Has examples (96 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.