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BF ens

Resolve ENS names (.eth) to Ethereum addresses and vice versa. Use when a user provides an .eth name (e.g. "send to vitalik.eth"), when displaying addresses (show ENS names), looking up ENS profiles, or helping users register, renew, or manage .eth names.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 3 009 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Resolve ENS names (.eth) to Ethereum addresses and vice versa. Use when a user provides an .eth name (e.g. "send to vitalik.eth"), when displaying addresses…

As a process F 40/100 · Will not run — References files that are not bundled: ...

ProcedureGitHubInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
95
Quality 40%
77
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: ...
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 SKILL.md:182
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | ENS Registry | `0x00…e1e` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:183
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | ETH Registrar Controller | `0x25…03b` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:184
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Public Resolver | `0x23…E63` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:185
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Reverse Registrar | `0xa5…7Cb` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:186
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Name Wrapper | `0xD4…401` |
    table

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ...
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: ...
  • 0Tools and files. 1 referenced file(s) missing: ...
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 11 mutating operations with no state check
  • 40Consistency. Frontmatter name (ens) differs from the folder (ens-skill)
  • 100Steps. 61 steps
  • 100Failures and branches. 5 branches, has a failure section
  • 100Execution cost. Instruction body is 3009 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 255: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 61 items
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.