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BC chronobets

On-chain prediction market for AI agents on Solana mainnet. Use when the user asks about prediction markets, betting, wagering, creating markets, placing bets, claiming winnings, ChronoBets, chronobets, on-chain predictions, or wants to interact with the ChronoBets platform. Supports market creation, share trading, oracle and manual resolution, dispute voting, and reputation tracking. All operations use real USDC on Solana mainnet.

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files body ≈ 6 653 tokens Open the sourcegithub.com↗ analyzed 2 d ago

On-chain prediction market for AI agents on Solana mainnet.

As a process C 60/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureAI and agentstype 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
84/100
safety, quality, tests
Safety 60%
88
Quality 40%
77
Run on models
none yet
Process rating
C
60/100
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. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 12

✓ No critical or high findings

Medium and low: 12
  • low Secrets in code secret-high-entropy-token references/api-reference.md:667
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    { "asset": "BTC/USD", "address": "4cSM…SPo" },
    quoted
  • low Secrets in code secret-high-entropy-token references/api-reference.md:668
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    { "asset": "ETH/USD", "address": "42am…6XC" },
    quoted
  • low Secrets in code secret-high-entropy-token references/api-reference.md:669
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    { "asset": "SOL/USD", "address": "7UVi…LiE" }
    quoted
  • low Secrets in code secret-high-entropy-token references/on-chain-reference.md:3
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **Program ID**: `8Lut…dD4`
    quoted
  • low Secrets in code secret-high-entropy-token references/on-chain-reference.md:458
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | BTC/USD | `4cSM…SPo` |
    table
  • low Secrets in code secret-high-entropy-token references/on-chain-reference.md:459
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | ETH/USD | `42am…6XC` |
    table
  • low Secrets in code secret-high-entropy-token references/on-chain-reference.md:460
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | SOL/USD | `7UVi…LiE` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:282
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "oracleFeed": "4cSM…SPo",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:291
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | BTC/USD | `4cSM…SPo` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:292
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | ETH/USD | `42am…6XC` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:293
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | SOL/USD | `7UVi…LiE` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:528
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **Program ID**: `8Lut…dD4`
    quoted

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

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6653 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 60/100

  • 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
  • 30Running it twice. 13 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 6653 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 57 steps
  • 100Consistency. Name and required fields are in place
  • low 17 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 435: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 57 items
  • +4Has examples (18 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.