AC iqdb-onchain-storage
On-chain immutable data storage using IQ Labs tech stack (IQDB, hanLock, x402). Use when building Solana-based persistent storage, on-chain databases, tamper-evident records, password-encoded data, or paid file inscription. Triggers on tasks involving on-chain CRUD, Solana PDA storage, rolling hash verification, Hangul encoding, or HTTP 402 payment-gated inscription.
As a process C 62/100 · Has gaps — weak spots: result and completion, failures and branches, consistency
How to improve
- 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
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low Secrets in code
secret-high-entropy-tokenreferences/iqdb-core.md:6High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)**Program ID (mainnet):** `9KLL…abs`
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/iqdb-core.md:69High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- **Program ID differs from local pre-release:** Published SDK = `9KLL…abs`. Local dev repo had `7dL1…p8v`. Old SDK (`@iqlabsteam
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/iqdb-core.md:207High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)userPubkey: 'BtEr…JZT',
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/setup.md:70High-entropy token-like string (may be an id, hash or a credential)// Program ID: 9KLL…abs
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low Secrets in code
secret-high-entropy-tokenskill.md:24High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- **Mainnet:** Fully supported. Program ID: `9KLL…abs` (via `@iqlabs-official/solana-sdk`).
quoted -
low Secrets in code
secret-high-entropy-tokenskill.md:25High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- **Devnet:** Supported via legacy SDK (`@iqlabsteam/iqdb`). Program: `7Vk5…uAX`.
quoted
Files scanned: 6. 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 62/100
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 30Running it twice. 17 mutating operations with no state check
- 40Consistency. Frontmatter name (iqdb-onchain-storage) differs from the folder (iqdb)
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 28 steps
- 100Execution cost. Instruction body is 1856 tokens
- 100Progress reporting. Reports progress
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 369: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 28 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (3 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.