BD aifrens-onboard
Turn any OpenClaw agent into an AI Fren with their own coin, treasury, and economy. One command to become a virtual performer on AIFrens.
Turn any OpenClaw agent into an AI Fren with their own coin, treasury, and economy.
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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 · 13
✓ No critical or high findings
Medium and low: 13
-
low Secrets in code
secret-high-entropy-tokenaifrens.ts:8High-entropy token-like string (may be an id, hash or a credential)* npx ts-node aifrens.ts buy 0xA4…875 100
-
low Secrets in code
secret-high-entropy-tokenaifrens.ts:21High-entropy token-like string (may be an id, hash or a credential) (placeholder value)MAGIC_TOKEN: '0xF1…f43' as `0x${string}`,placeholder -
low Secrets in code
secret-high-entropy-tokenaifrens.ts:22High-entropy token-like string (may be an id, hash or a credential) (placeholder value)UNISWAP_ROUTER: '0x26…481' as `0x${string}`,placeholder -
low Secrets in code
secret-high-entropy-tokenaifrens.ts:27High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)'wiz': '0xA4…875',
quoted -
low Secrets in code
secret-high-entropy-tokenaifrens.ts:28High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)'smol': '0xA4…875',
quoted -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:62High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…p81+8Ob3…L40/b0i7…gQw==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:124High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha512-+lF0B…kdX+94aG…d8c+B3KT…U6A==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:143High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…xCA+ORZv…wO5/ywWF…Tag==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:216High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…MfZ+71RA…HvA==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:222High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…Kxf+MSr9…jrj/FHl8…mYA+ftRkP/3oKQ==",
detector -
low Secrets in code
secret-high-entropy-tokenREADME.md:54High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| MAGIC Token | `0xF1…f43` |
table -
low Secrets in code
secret-high-entropy-tokenSKILL.md:61High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| MAGIC Token | `0xF1…f43` | Liquidity pair token |
table -
low Secrets in code
secret-high-entropy-tokenSKILL.md:66High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| WIZ (SMOL) | `0xA4…875` | `0x21…a76` |
table
Files scanned: 6. 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") - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 43/100
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 3 mutating operations with no state check
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 43 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1072 tokens
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 137: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 43 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.