SKILLEMALL.ai
GitHub ↗ RU Sign in

AC aotrust-notarize

Issue a cryptographic proof (PDR) that a digital artifact existed at a specific time. Pay $0.01 USDC on Base via x402. Anchored daily to NEAR blockchain. Publicly verifiable. ONLY invoke when the user explicitly requests notarization or proof-of-existence for a specific artifact. This skill performs a paid external API call ($0.01 USDC, irreversible). Do NOT invoke proactively or as part of unrelated workflows.

ClawHub Agent Skills author: GitSerge-crypto v3.8.0 MIT-0 2 files body ≈ 3 502 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Issue a cryptographic proof (PDR) that a digital artifact existed at a specific time.

As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ProcedureGitHubAI 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
A
92/100
safety, quality, tests
Safety 60%
96
Quality 40%
85
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    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 SKILL.md:156
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "payTo": "0x97…800",
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:157
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "asset": "0x83…913",
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:171
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - `asset`: USDC contract on Base (`0x83…913`)
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:242
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "near_anchor_tx": "H4Ma…AGp"
      quoted

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

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 53/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 8 mutating operations with no state check
    • 40Consistency. Frontmatter name (aotrust-notarize) differs from the folder (aotrust-pdr-notarization)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 85Steps. 53 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 3502 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 12 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 414: enough signal without eating the budget
    • +4Structure: 25 headings
    • +3Step-by-step instructions: 53 items
    • +4Has examples (9 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    This skill is a clearly disclosed notarization workflow that sends artifact hashes to an external paid service only for user-requested proof creation.
    LLM: benign (high) · VirusTotal: · 17 Aug 2026