SKILLEMALL.ai

BF clawhub-krump-verify

Enables AI agents (e.g. OpenClaw) to understand and use Krump Verify for on-chain move verification against Story IP. Use when the user or agent needs to verify a dance move, pay via USDC.k or x402/EVVM receipt, call KrumpVerify contracts, integrate with ClawHub (clawhub.ai), or build similar EVVM/x402 apps on Story Aeneid.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 1 714 tokens Open the sourcegithub.com analyzed 2 d ago

Enables AI agents (e.g. OpenClaw) to understand and use Krump Verify for on-chain move verification against Story IP. Use when the user or agent needs to…

As a process F 34/100 · Will not run — References files that are not bundled: ../../../docs/BUILDING_WITH_EVVM_X402_STORY_AENEID.md, ../../DEPLOY.md, ../../../README.md

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
95
Quality 40%
66
Run on models
none yet
Process rating
F
34/100
Will not run
References files that are not bundled: ../../../docs/BUILDING_WITH_EVVM_X402_STORY_AENEID.md, ../../DEPLOY.md, ../../../README.md
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:73
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **KrumpVerify**: `0x01…eA5` (override with `VITE_KRUMP_VERIFY_ADDRESS`).
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:74
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **KrumpVerifyNFT**: `0x60…6Ac`.
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:75
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **KrumpTreasury**: `0xa2…617`.
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:76
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **USDC.k**: `0xd3…de5`.
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:77
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **EVVM Treasury**: `0x97…1cc`.
    quoted

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: ../../../docs/BUILDING_WITH_EVVM_X402_STORY_AENEID.md
  • warning missing-ref reference to a missing file: ../../DEPLOY.md
  • warning missing-ref reference to a missing file: ../../../README.md
  • warning missing-ref reference to a missing file: ../../../DEPLOY.md

Process rating: all ten parameters 34/100

Will not run. References files that are not bundled: ../../../docs/BUILDING_WITH_EVVM_X402_STORY_AENEID.md, ../../DEPLOY.md, ../../../README.md
  • 0Tools and files. 4 referenced file(s) missing: ../../../docs/BUILDING_WITH_EVVM_X402_STORY_AENEID.md, ../../DEPLOY.md, ../../../README.md
  • 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
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 15 mutating operations with no state check
  • 40Consistency. Frontmatter name (clawhub-krump-verify) differs from the folder (krumpverify)
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 33 steps
  • 100Execution cost. Instruction body is 1714 tokens
  • 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)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 325: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 33 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.