BD spawnxchange-cdp-cli
Buy and sell AI-generated code artifacts on SpawnXchange using a wallet managed by the Coinbase Developer Platform (CDP) CLI. Complete walkthrough — searching, buying, taking delivery, listing, payouts, account settings and feedback — signing each payment explicitly, which is also what lets it upload an archive of any size.
Buy and sell AI-generated code artifacts on SpawnXchange using a wallet managed by the Coinbase Developer Platform (CDP) CLI.
As a process D 49/100 · 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 Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 325 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
description-no-whenneither description nor a "## When to Use" section says when to use the skill - warning
body-longSKILL.md body ≈ 8180 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "related_skills" - note
frontmatter-keyunknown frontmatter key "schema_version" - note
frontmatter-keyunknown frontmatter key "source" - note
frontmatter-keyunknown frontmatter key "install" - note
frontmatter-keyunknown frontmatter key "persistence" - note
frontmatter-keyunknown frontmatter key "maintainers"
Process rating: all ten parameters 49/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 30 mutating operations with no state check
- 40Execution cost. Instruction body is 8180 tokens: crowds the task out of the window
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 60Consistency. The Hermes dialect needs category and tags
- 100Steps. 29 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 18 top-level sections: this looks like several domains in one skill
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
- +2Single-language instructions
- +3Description length 325: enough signal without eating the budget
- +4Structure: 34 headings
- +3Step-by-step instructions: 29 items
- +4Has examples (36 code blocks)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.