SKILLEMALL.ai

CD Register on ERC-8004 Identity Registry

MoltEthos Skill Autonomous reputation management for AI agents on Monad using ERC-8004.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 2 647 tokens Open the sourcegithub.com analyzed 2 d ago

MoltEthos Skill Autonomous reputation management for AI agents on Monad using ERC-8004.

As a process D 44/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureSupabaseAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
72/100
safety, quality, tests
Safety 60%
80
Quality 40%
60
Run on models
none yet
Process rating
D
44/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Obfuscation medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.

For the author

Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 16

✓ No critical or high findings

Medium and low: 16
  • medium Obfuscation obf-base64-blob SKILL.md:134
    Long base64-looking blob
    Anon Key: eyJh…lQQ
  • low Secrets in code secret-high-entropy-token SKILL.md:21
    High-entropy token-like string (may be an id, hash or a credential)
    ERC-8004 Identity Registry	0x80…432
  • low Secrets in code secret-high-entropy-token SKILL.md:22
    High-entropy token-like string (may be an id, hash or a credential)
    ERC-8004 Reputation Registry	0x80…b63
  • low Secrets in code secret-high-entropy-token SKILL.md:30
    High-entropy token-like string (may be an id, hash or a credential)
    cast send 0x80…432 \
  • low Exfiltration net-credential-use SKILL.md:32
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    --private-key $PRIVATE_KEY --rpc-url https://rpc.monad.xyz
    vendor-host
  • low Secrets in code secret-high-entropy-token SKILL.md:36
    High-entropy token-like string (may be an id, hash or a credential)
    cast call 0x80…432 \
  • low Secrets in code secret-high-entropy-token SKILL.md:106
    High-entropy token-like string (may be an id, hash or a credential)
    cast send 0x80…b63 \
  • low Exfiltration net-credential-use SKILL.md:109
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    --private-key $PRIVATE_KEY --rpc-url https://rpc.monad.xyz
    vendor-host
  • low Exfiltration net-credential-use SKILL.md:115
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    --private-key $PRIVATE_KEY --rpc-url https://rpc.monad.xyz
    vendor-host
  • low Exfiltration net-credential-use SKILL.md:121
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    --private-key $PRIVATE_KEY --rpc-url https://rpc.monad.xyz
    vendor-host
  • low Exfiltration net-credential-use SKILL.md:127
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    --private-key $PRIVATE_KEY --rpc-url https://rpc.monad.xyz
    vendor-host
  • low Obfuscation obf-base64-blob SKILL.md:136
    Long base64-looking blob (quoted — discussed, not commanded)
    -H "apikey: eyJh…4wl
    quoted
  • low Secrets in code secret-labelled-token SKILL.md:136
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (quoted — discussed, not commanded)
    -H "apikey: eyJh…4wl
    quoted
  • low Secrets in code secret-password-literal SKILL.md:136
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    -H "apikey: eyJh…4wl
    quoted
  • low Obfuscation obf-base64-blob SKILL.md:137
    Long base64-looking blob (quoted — discussed, not commanded)
    -H "Authorization: Bearer eyJh…V9C
    quoted
  • low Obfuscation obf-base64-blob SKILL.md:231
    Long base64-looking blob (quoted — discussed, not commanded)
    export SUPABASE_ANON_KEY="eyJh…V9C
    quoted

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

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 44/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 7 mutating operations with no state check
  • 40Consistency. Frontmatter name (Register on ERC-8004 Identity Registry) differs from the folder (ethosmolt)
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 6 steps
  • 100Execution cost. Instruction body is 2647 tokens
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (12 tags): a typed call is more reliable

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 87: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 6 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.