SKILLEMALL.ai

BC conto

Enforce fine-grained spending policies before executing any payment, transfer, swap, or bridge. Checks Conto policy engine for approval before money leaves your wallet. Use /conto to manage policies or check payments.

ClawHub Agent Skills author: Conto v1.8.0 MIT-0 5 files · 1 script body ≈ 7 251 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 60/100 · Has gaps — weak spots: result and completion, consistency, running it twice

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
95
Quality 40%
75
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Running it twice w 4
30
Consistency w 8
40
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: conto (ClawHub)

How to improve

  1. 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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token README.md:79
    High-entropy token-like string (may be an id, hash or a credential)
    /conto check if a 10 pathUSD payment to 0x74…3a1 for API credits is allowed
  • low Secrets in code secret-high-entropy-token README.md:166
    High-entropy token-like string (may be an id, hash or a credential)
    /conto check if a 10 pathUSD payment to 0x74…3a1 for API credits is allowed
  • low Secrets in code secret-high-entropy-token README.md:174
    High-entropy token-like string (may be an id, hash or a credential)
    /conto check if a 500 pathUSD payment to 0x74…3a1 is allowed
  • low Secrets in code secret-high-entropy-token README.md:190
    High-entropy token-like string (may be an id, hash or a credential)
    /conto check if a 10 pathUSD payment to 0x74…3a1 for gambling is allowed
  • low Secrets in code secret-high-entropy-token README.md:198
    High-entropy token-like string (may be an id, hash or a credential)
    /conto check if a 600 pathUSD payment to 0x74…3a1 is allowed

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7251 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 60/100

  • 0Result and completion. Does not say what the result is
  • 30Running it twice. 14 mutating operations with no state check
  • 40Consistency. Frontmatter name (conto) differs from the folder (conto-hermes)
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 7251 tokens
  • 85Steps. 65 steps, 1 vague phrases
  • 100Failures and branches. 11 branches, has a failure section
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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
  • +2Single-language instructions
  • +3Description length 217: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 65 items
  • +4Has examples (37 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This is a coherent payment-policy skill, but it gives an agent live payment and policy-administration authority with weak local confirmation and credential-storage safeguards.
LLM: suspicious (high) · VirusTotal: · 29 May 2026