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BF aawp

AAWP (AI Agent Wallet Protocol) — the only crypto wallet protocol built exclusively for AI Agents on EVM-compatible blockchains. Not for humans. The signer is the AI Agent itself, cryptographically bound at wallet creation. Supports wallet lifecycle management, token transfers, DEX swaps, cross-chain bridging, arbitrary contract interactions, DCA automation, and price alerts.

ClawHub Agent Skills author: AAWP.AI v1.6.8 MIT-0 5 files body ≈ 4 374 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 53/100 · Will not run — References files that are not bundled: scripts/*.js, scripts/doctor.sh, scripts/ensure-daemon.sh

ProcedureAI 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
83/100
safety, quality, tests
Safety 60%
96
Quality 40%
64
Run on models
none yet
Process rating
F
53/100
Will not run
References files that are not bundled: scripts/*.js, scripts/doctor.sh, scripts/ensure-daemon.sh
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-high-entropy-token README.md:289
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | **Factory** | [`0xAA…aAA`](https://basescan.org/address/0xAA…aAA) |
    table
  • low Secrets in code secret-high-entropy-token README.md:290
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition; documentation table row)
    | **Identity** | [`0xAA…D1d`](https://basescan.org/address/0xAA…D1d) |
    detectortable
  • low Secrets in code secret-high-entropy-token SKILL.md:494
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | **Factory Proxy** | `0xAA…aAA` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:495
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | **Identity Proxy** | `0xAA…D1d` |
    table

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/*.js
  • warning missing-ref reference to a missing file: scripts/doctor.sh
  • warning missing-ref reference to a missing file: scripts/ensure-daemon.sh
  • warning missing-ref reference to a missing file: scripts/restart-daemon.sh
  • warning missing-ref reference to a missing file: scripts/deploy-clanker.js
  • note frontmatter-key unknown frontmatter key "environment"
  • note frontmatter-key unknown frontmatter key "credentials"
  • note frontmatter-key unknown frontmatter key "persistence"
  • note frontmatter-key unknown frontmatter key "native_binary"
  • note frontmatter-key unknown frontmatter key "risk_disclosure"

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: scripts/*.js, scripts/doctor.sh, scripts/ensure-daemon.sh
  • 0Tools and files. 5 referenced file(s) missing: scripts/*.js, scripts/doctor.sh, scripts/ensure-daemon.sh
  • 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
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 4374 tokens
  • 100Steps. 12 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 16 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 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
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 378: enough signal without eating the budget
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 12 items
  • +3Output format is stated explicitly
  • +4Has examples (22 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
This is a real AI wallet skill, but it gives an agent broad authority over funds while fetching its highest-risk runtime code after install.
LLM: suspicious (high) · 28 May 2026