BF 3d-generator
AI Generated 3D Models using SOTA APIs such as Tripo/Meshy/TripoSR/etc served on OneKey Agent Gateway by Craftsman Agent, useful for AI Game, Figurine, Stuffed Toy Generation
AI Generated 3D Models using SOTA APIs such as Tripo/Meshy/TripoSR/etc served on OneKey Agent Gateway by Craftsman Agent, useful for AI Game, Figurine…
As a process F 34/100 · Will not run — weak spots: steps, result and completion, when it triggers
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 3
✓ No critical or high findings
Medium and low: 3
-
low Obfuscation
obf-base64-blobSKILL.md:221Long base64-looking blob (quoted — discussed, not commanded)"model_url_original": "https://trip…com/tcli…957/20260814/96b2…3ac/trip…ac.
quoted -
low Secrets in code
secret-high-entropy-tokenSKILL.md:221High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"model_url_original": "https://trip…com/tcli…957/20260814/96b2…3ac/trip…ac.
detector -
low Secrets in code
secret-high-entropy-tokenSKILL.md:222High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"rendered_image_url_original": "https://trip…com/tcli…957/20260814/96b2…3ac/legacy_mesh.webp?Policy=…
quoted
Files scanned: 2. 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 "env" - note
frontmatter-keyunknown frontmatter key "dependencies"
Process rating: all ten parameters 34/100
- 0Steps. Prose only: no discrete steps
- 0Result and completion. Does not say what the result is
- 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. 6 mutating operations with no state check
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 4892 tokens
- 100Consistency. Name and required fields are in place
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)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 174: enough signal without eating the budget
- +4Structure: 29 headings
- +4Has examples (17 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.