SKILLEMALL.ai

BB btcd-skill-beta

Run the BTCD collateralization flow on PGP chain. Use when the user asks to run a BTCD loan, collateralization flow, create/take orders, lock BTC, submit proofs, claim BTCD tokens, or repay loans on the PGP network.

modbender/skill-library-mcp Agent Skills author: modbender MIT 23 files body ≈ 1 810 tokens Open the sourcegithub.com analyzed 2 d ago

Run the BTCD collateralization flow on PGP chain.

As a process B 69/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting

GeneratorSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
89
Quality 40%
87
Run on models
none yet
Process rating
B
69/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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 · 11

    ✓ No critical or high findings

    Medium and low: 11
    • low Secrets in code secret-high-entropy-token scripts/.env.template.txt:7
      High-entropy token-like string (may be an id, hash or a credential)
      BTC_PRIVATE_KEY=<AGEN…FIX>
    • low Secrets in code secret-high-entropy-token scripts/abi/ArbitratorManager.json:962
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "name": "regi…C20",
      quoted
    • low Secrets in code secret-high-entropy-token scripts/utils/arbiter-client.js:105
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      config.contracts.arbitratorManager || '0xcB…5E2',
      quoted
    • low Secrets in code secret-high-entropy-token scripts/utils/config.js:21
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      loanContract: process.env.LOAN_CONTRACT_ADDRESS || '0x5c…91e',
      quoted
    • low Secrets in code secret-high-entropy-token scripts/utils/config.js:22
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      issuer: process.env.ISSUER_CONTRACT_ADDRESS || '0x91…Fa7',
      quoted
    • low Secrets in code secret-high-entropy-token scripts/utils/config.js:23
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      btcdToken: process.env.BTCD_TOKEN_ADDRESS || '0xF9…c6B',
      quoted
    • low Secrets in code secret-high-entropy-token scripts/utils/config.js:24
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      arbitratorManager: process.env.ARBITRATOR_MANAGER_ADDRESS || '0x1f…ae0',
      quoted
    • low Secrets in code secret-high-entropy-token scripts/utils/config.js:25
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      stakingFactory: process.env.STAKING_FACTORY_ADDRESS || '0xaB…A36',
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:173
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Loan Contract | `0x5c…91e` |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:174
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Issuer | `0x91…Fa7` |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:175
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | BTCD Token | `0xF9…c6B` |
      table

    Files scanned: 23. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 69/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 21 steps
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1810 tokens
    • 100Running it twice. Mutating operations check current state

    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 215: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 21 items
    • +4Has examples (13 code blocks)
    • +3All 7 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.