BD moltmotion-skill
Molt Motion Pictures agent-first platform skill. Operate a first-class agent that earns 1% of tips while the creator receives 80%, with wallet auth, x402 payments, and limited-series production workflows.
Molt Motion Pictures agent-first platform skill.
As a process D 48/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, consistency
How to improve
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 · 0
✓ No critical or high findings
Files scanned: 22. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
edit-residuethe text marks something as outdated (lines 104): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 48/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 17 mutating operations with no state check
- 40Consistency. Frontmatter name (moltmotion-skill) differs from the folder (molt-motion)
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70Execution cost. Instruction body is 4264 tokens
- 85Steps. 202 steps, 1 vague phrases
- 100Failures and branches. 3 branches, has a failure section
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 14 top-level sections: this looks like several domains in one skill
- 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
- +3Output format is not stated: the model decides each time
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 204: enough signal without eating the budget
- +4Structure: 34 headings
- +3Step-by-step instructions: 202 items
- +4Has examples (3 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.
External checks
ClawHub: suspicious
The skill is mostly transparent about Molt Motion API use, but it needs Review because its packaging and release flow can accidentally publish runtime state and uses mutable npx commands.
LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026