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CD exfer

Exfer is a permissionless proof-of-work blockchain for autonomous machine-to-machine commerce. It combines Argon2id memory-hard mining, an extended UTXO model, and Exfer Script — a total functional combinator language — for transaction conditions. Use when an agent needs to send payments, check balances, create hash-time-locked contracts (HTLCs), mine blocks, or interact with blockchain-based machine commerce.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: ahuman-exfer v1.1.0 MIT-0 2 files body ≈ 5 386 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructureAI 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
C
61/100
safety, quality, tests
Safety 60%
54
Quality 40%
72
Run on models
none yet
Process rating
D
47/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 4

  • high Dangerous commands cmd-persistence SKILL.md:756
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    cat > ~/Library/LaunchAgents/org.exfer.miner.plist << EOF
  • high Dangerous commands cmd-persistence SKILL.md:776
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    launchctl load ~/Library/LaunchAgents/org.exfer.miner.plist
Medium and low: 2
  • medium Dangerous commands cmd-quarantine-file SKILL.md:70
    Removes the macOS quarantine flag from one file (usual for a downloaded CLI; make sure the file is the intended binary)
    xattr -d com.apple.quarantine exfe…m64
  • medium Dangerous commands cmd-quarantine-file SKILL.md:77
    Removes the macOS quarantine flag from one file (usual for a downloaded CLI; make sure the file is the intended binary)
    xattr -d com.apple.quarantine exfe…_64

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5386 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 47/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 11 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
  • 70Execution cost. Instruction body is 5386 tokens
  • 100Steps. 19 steps
  • 100Consistency. Name and required fields are in place
  • low 17 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
  • -2localhost URLs: will not work for another user
  • +2Single-language instructions
  • +3Description length 413: enough signal without eating the budget
  • +4Structure: 54 headings
  • +3Step-by-step instructions: 19 items
  • +4Has examples (49 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This skill is coherent for Exfer cryptocurrency use, but it gives agents real wallet/payment authority and uses under-scoped install and safety guidance that users should review carefully.
LLM: suspicious (high) · VirusTotal: · 29 May 2026