BF decentralized-agent-cloud
Decentralized compute and data marketplace for AI agents with spot pricing | 去中心化 AI Agent 计算和数据市场，支持 Spot 动态定价
As a process F 33/100 · Will not run — References files that are not bundled: examples/complete-demo.ts
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 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 · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 111 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
missing-refreference to a missing file: examples/complete-demo.ts - note
frontmatter-keyunknown frontmatter key "display_name" - note
frontmatter-keyunknown frontmatter key "subcategory" - note
frontmatter-keyunknown frontmatter key "repository" - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "documentation" - note
frontmatter-keyunknown frontmatter key "requires"
Process rating: all ten parameters 33/100
Will not run. References files that are not bundled: examples/complete-demo.ts
- 0Tools and files. 1 referenced file(s) missing: examples/complete-demo.ts
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 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. 4 mutating operations with no state check
- 100Steps. 86 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3418 tokens
- low 14 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)
- +3Description length 111: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -234 emoji in the instructions: noise for the model
- +2Single-language instructions
- +4Structure: 38 headings
- +3Step-by-step instructions: 86 items
- +4Has examples (16 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.
External checks
ClawHub: clean
This skill describes a decentralized AI compute marketplace, and the main risks are expected external processing and billing rather than hidden or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026