SKILLEMALL.ai
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BF 8k4

Trust scoring, agent discovery, profiling, wallet/identity lookup, contact, dispatch, and metadata reads/writes via 8K4 Protocol (ERC-8004). Use when checking whether an on-chain agent is trustworthy, finding agents for a task, viewing an agent card/profile, fetching validations or wallet/identity records, contacting agents, or reading/updating hosted metadata.

ClawHub Agent Skills author: 8k4-dev v1.0.1 MIT-0 7 files · 1 script body ≈ 1 153 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 43/100 · Will not run — References files that are not bundled: {baseDir}/references/ACCESS.md, {baseDir}/references/ENDPOINTS.md, {baseDir}/references/SCORING.md

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
F
43/100
Will not run
References files that are not bundled: {baseDir}/references/ACCESS.md, {baseDir}/references/ENDPOINTS.md, {baseDir}/references/SCORING.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: {baseDir}/references/ACCESS.md
  • warning missing-ref reference to a missing file: {baseDir}/references/ENDPOINTS.md
  • warning missing-ref reference to a missing file: {baseDir}/references/SCORING.md
  • warning missing-ref reference to a missing file: {baseDir}/references/SAFETY.md

Process rating: all ten parameters 43/100

Will not run. References files that are not bundled: {baseDir}/references/ACCESS.md, {baseDir}/references/ENDPOINTS.md, {baseDir}/references/SCORING.md
  • 0Tools and files. 4 referenced file(s) missing: {baseDir}/references/ACCESS.md, {baseDir}/references/ENDPOINTS.md, {baseDir}/references/SCORING.md
  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 100Steps. 26 steps
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1153 tokens

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
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 363: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This skill is a disclosed 8K4 Protocol API helper whose main risks come from intentional external lookups, live contact/dispatch, paid requests, and signed metadata updates.
LLM: benign (high) · VirusTotal: · 29 May 2026