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BC token-distribution

For token distribution on Solana 5000x cheaper than SPL (rewards, airdrops, depins, ...). @lightprotocol/compressed-token (TypeScript). Reference examples for custom claim support.

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files body ≈ 1 776 tokens Open the sourcegithub.com↗ analyzed 2 d ago

For token distribution on Solana 5000x cheaper than SPL (rewards, airdrops, depins, ...). @lightprotocol/compressed-token (TypeScript). Reference examples for…

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureGitHubSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
94
Quality 40%
76
Run on models
none yet
Process rating
C
51/100
Has gaps
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

  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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-high-entropy-token references/batched-airdrop.md:169
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "9NYF…1NJ" // mainnet
    quoted
  • low Secrets in code secret-high-entropy-token references/batched-airdrop.md:170
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    // "qAJZ…R5V" // devnet
    quoted
  • low Secrets in code secret-high-entropy-token references/simple-airdrop.md:67
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const lut = new PublicKey("9NYF…1NJ"); // mainnet
    quoted
  • low Secrets in code secret-high-entropy-token references/simple-airdrop.md:68
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    // const lut = new PublicKey("qAJZ…R5V"); // devnet
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:139
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Mainnet | `9NYF…1NJ` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:140
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Devnet | `qAJZ…R5V` |
    table

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 51/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (token-distribution) differs from the folder (solana-token-distribution)
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 24 steps
  • 100Execution cost. Instruction body is 1776 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 180: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.