CB soulblock
Read, list, mint, and append Soul Blocks on Base. Read works without a wallet. Write operations use evm-wallet if available and fall back to website deep links.
Read, list, mint, and append Soul Blocks on Base.
As a process B 66/100 · Nearly there — weak spots: result and completion, when it triggers
What is at stake
The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.
The text contains phrases like "ignore previous instructions" or "you are now…". That is an attempt to hijack the agent: it may break your rules, the system limits or company policy.
An honest skill does not need them: state the role and the rules directly without overriding other instructions. Otherwise catalog scanners and corporate filters will block the listing.
How to improve
- Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
- 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 · 7
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high Instruction override
en-ignore-previousskill-card.md:27Instruction-override phrase ("ignore previous instructions")Mitigation: Treat SOUL.md and on-chain fragments as untrusted display data; do not allow them to override safety rules, tool use, wallet decisions, or system instructions.
Medium and low: 6
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low Secrets in code
secret-high-entropy-tokenpackage-lock.json:28High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…7pY+zoMV…h0x/Ptw8…8dg==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:44High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…b00+Gxjx…zRc/oZwU…hzA==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:108High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha512-vHk/hA7/1Ack…wbo+jaSh…Gtl+A5zq…HFg==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:140High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…Dsc+j03S…0oA==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:412High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…NS8+tHW7…WOF+PEzk…X4Q==",
detector -
low Secrets in code
secret-high-entropy-tokenscripts/fetch.ts:1High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)const DEFAULT_CONTRACT_ADDRESS = "0xfa…54F";
quoted
Files scanned: 7. 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 66/100
- 0Result and completion. Does not say what the result is
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 60 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2728 tokens
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 10 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (5 tags): a typed call is more reliable
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 160: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 60 items
- +4Has examples (16 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.