BC clawland
Play on-chain odd/even games on Solana devnet via Clawland. Mint GEM from SOL or USDC, bet odd or even, win 2x. Scripts handle wallet setup, minting, and autoplay.
As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
The same skill appears in 2 more places: ClawHub, ClawHub
How to improve
- 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 · 8
✓ No critical or high findings
Medium and low: 8
-
low Secrets in code
secret-high-entropy-tokenreferences/SOLANA.md:3High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)**Program ID:** `B8qa…9qZ`
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/SOLANA.md:5High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)**USDC Mint:** `4zMM…cDU`
quoted -
low Secrets in code
secret-high-entropy-tokenscripts/common.js:12High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)const PROGRAM_ID_STR = 'B8qa…9qZ';
quoted -
low Secrets in code
secret-high-entropy-tokenscripts/common.js:13High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)const USDC_MINT_STR = '4zMM…cDU';
quoted -
low Secrets in code
secret-high-entropy-tokenscripts/common.js:14High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)const ADMIN_STR = 'DHK8…Lkx';
quoted -
low Secrets in code
secret-high-entropy-tokenscripts/common.js:15High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)const GAME_STATE_STR = '3Vmn…sFk';
quoted -
low Secrets in code
secret-high-entropy-tokenscripts/common.js:16High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)const GEM_MINT_STR = '3gcE…HSz';
quoted -
low Secrets in code
secret-high-entropy-tokenSKILL.md:12High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)**Program:** `B8qa…9qZ` (Devnet)
quoted
Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 54/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 4 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1208 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low The response is described with custom markup (4 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
- -31 of 9 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 163: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (12 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: suspicious
This appears to be a real Clawland devnet game skill, but it needs Review because it auto-installs npm packages and can sign wallet actions and repeated betting transactions without strong safeguards.
LLM: suspicious (high) · VirusTotal: suspicious · 10 Sept 2026