SKILLEMALL.ai

BF 8004-agent

8004 Agent Skill for registering AI agents on the ERC-8004 Trustless Agents standard and authenticating them via SIWA (Sign In With Agent). Use this skill when an agent needs to: (1) create or manage an Ethereum wallet for onchain identity, (2) register on the ERC-8004 Identity Registry as an NFT-based agent identity (SIGN UP), (3) authenticate with a server by proving ownership of an ERC-8004 identity using a signed challenge (SIGN IN / SIWA), (4) build or update an ERC-8004 registration file (metadata JSON with endpoints, trust models, services), (5) upload agent metadata to IPFS or base64 data URI, (6) look up or verify an agent's onchain registration. The agent persists public identity state in MEMORY.md. Private keys are held in a separate keyring proxy server — the agent can request signatures but never access the key itself. Triggers on: ERC-8004, trustless agents, agent registration, SIWA, Sign In With Agent, agent identity NFT, Agent0 SDK, agent wallet, agent keystore, keyring proxy.

modbender/skill-library-mcp Agent Skills author: modbender MIT 9 files body ≈ 6 232 tokens Open the sourcegithub.com analyzed 2 d ago

8004 Agent Skill for registering AI agents on the ERC-8004 Trustless Agents standard and authenticating them via SIWA (Sign In With Agent).

As a process F 37/100 · Will not run — References files that are not bundled: assets/MEMORY.md.template

ProcedureDockerAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
92
Quality 40%
67
Run on models
none yet
Process rating
F
37/100
Will not run
References files that are not bundled: assets/MEMORY.md.template
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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. 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 · 8

✓ No critical or high findings

Medium and low: 8
  • low Secrets in code secret-high-entropy-token references/contract-addresses.md:11
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Base | `8453` | `0x80…432` | `0x80…b63` |
    table
  • low Secrets in code secret-high-entropy-token references/contract-addresses.md:17
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Base Sepolia | `84532` | `0x80…D9e` | `0x80…713` |
    table
  • low Secrets in code secret-high-entropy-token references/contract-addresses.md:18
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | ETH Sepolia | `11155111` | `0x80…847` | — |
    table
  • low Secrets in code secret-high-entropy-token references/contract-addresses.md:19
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Linea Sepolia | `59141` | `0x80…2e7` | — |
    table
  • low Secrets in code secret-high-entropy-token references/contract-addresses.md:20
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Polygon Amoy | `80002` | `0x80…898` | — |
    table
  • low Secrets in code secret-high-entropy-token references/siwa-spec.md:67
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
    0x74…Eb0
    fixture
  • low Secrets in code secret-high-entropy-token references/siwa-spec.md:90
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    "address": "0x74…Eb0",
    fixturequoted
  • low Secrets in code secret-high-entropy-token references/siwa-spec.md:168
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    "address": "0x74…Eb0"
    fixturequoted

Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6232 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: assets/MEMORY.md.template

Process rating: all ten parameters 37/100

Will not run. References files that are not bundled: assets/MEMORY.md.template
  • 0Tools and files. 1 referenced file(s) missing: assets/MEMORY.md.template
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 25 mutating operations with no state check
  • 40Consistency. Frontmatter name (8004-agent) differs from the folder (erc8004-agent)
  • 50Failures and branches. 0 branches, has a failure section
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 6232 tokens
  • 85Steps. 31 steps, 1 vague phrases
  • 100Progress reporting. Reports progress
  • 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)
  • +3Description length 1007: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 31 items
  • +4Has examples (28 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.