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.
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
How to improve
- The text references files that are not there: add them or drop the references.
- 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-tokenSKILL.md:73High-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-tokenSKILL.md:74High-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-tokenSKILL.md:75High-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-tokenSKILL.md:76High-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-tokenSKILL.md:77High-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-refreference to a missing file: ../../../docs/BUILDING_WITH_EVVM_X402_STORY_AENEID.md - warning
missing-refreference to a missing file: ../../DEPLOY.md - warning
missing-refreference to a missing file: ../../../README.md - warning
missing-refreference to a missing file: ../../../DEPLOY.md
Process rating: all ten parameters 34/100
- 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.