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BF aavegotchi-svg-custom

Render OG Aavegotchi SVG and PNG images from Base for custom hypothetical loadouts or existing token IDs. Use when the user wants classic onchain SVG-style gotchis rather than 3D renders.

ClawHub Agent Skills author: aaigotchi v1.1.3 MIT-0 14 files · 2 scripts body ≈ 2 275 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 60/100 · Will not run — References files that are not bundled: references/wearables.tsv

GeneratorInfrastructuretype 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%
90
Quality 40%
75
Run on models
none yet
Process rating
F
60/100
Will not run
References files that are not bundled: references/wearables.tsv
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 10

✓ No critical or high findings

Medium and low: 10
  • low Secrets in code secret-high-entropy-token package-lock.json:25
    High-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-token package-lock.json:183
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…b4f+kvdO…EKg==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:231
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha512-7C/RSgCa+7vqZ…RgY+S+hgS3…8q6/nOAuTJQxeQ==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:302
    High-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-token package-lock.json:357
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…oyg+GOH3rYX++Kpzr…3Nk+U8XO…syg==",
    detector
  • low Secrets in code secret-high-entropy-token references/base-deployment.json:6
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "wearable_diamond": "0x05…B4b",
    quoted
  • low Secrets in code secret-high-entropy-token references/base-deployment.json:8
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "DAI": "0xE0…341",
    quoted
  • low Secrets in code secret-high-entropy-token references/base-deployment.json:9
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "ADAI": "0xE0…341",
    quoted
  • low Secrets in code secret-high-entropy-token references/base-deployment.json:10
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "ETH": "0x20…142",
    quoted
  • low Secrets in code secret-high-entropy-token references/base-deployment.json:11
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "WETH": "0x20…142",
    quoted

Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/wearables.tsv

Process rating: all ten parameters 60/100

Will not run. References files that are not bundled: references/wearables.tsv
  • 0Tools and files. 1 referenced file(s) missing: references/wearables.tsv
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 7 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 99 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 8 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2275 tokens
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (9 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 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 187: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 99 items
  • +4Has examples (7 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a disclosed Aavegotchi SVG/PNG renderer that uses local scripts and Base RPC reads without evidence of hidden data access or unsafe behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026