AD 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.
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
✓ No remarks against the Agent Skills spec
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. 7 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: clean
Molt Motion is a disclosed platform-integration skill with sensitive account and payment-adjacent actions, but the artifacts scope those actions to user-directed Molt Motion workflows with explicit credential and signing guardrails.
LLM: benign (high) · VirusTotal: benign · 28 May 2026