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AC self-xyz

Integrate Self (self.xyz) — a privacy-first identity protocol using zero-knowledge proofs to verify passports and ID cards. Use when the user mentions Self protocol, Self identity, self.xyz, passport verification, zero-knowledge identity verification, SelfAppBuilder, SelfBackendVerifier, SelfVerificationRoot, or wants to add privacy-preserving KYC, age verification, nationality checks, OFAC screening, or Sybil resistance using real-world identity documents. Covers frontend QR code integration, backend proof verification, and on-chain smart contract verification on Celo.

modbender/skill-library-mcp Agent Skills author: modbender MIT 4 files body ≈ 1 264 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Integrate Self (self.xyz) — a privacy-first identity protocol using zero-knowledge proofs to verify passports and ID cards. Use when the user mentions Self…

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

IntegrationSoftware developmenttype 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%
94
Quality 40%
88
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • low Secrets in code secret-high-entropy-token references/contracts.md:52
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Celo Mainnet | `0xe5…5BF` |
      table
    • low Secrets in code secret-high-entropy-token references/contracts.md:53
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Celo Sepolia | `0x16…d74` |
      table
    • low Secrets in code secret-high-entropy-token references/contracts.md:54
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Celo Sepolia Staging | `0x68…A51` |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:112
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | **Mainnet** Hub V2 | `0xe5…5BF` |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:113
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | **Sepolia** Hub V2 | `0x16…d74` |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:114
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | **Sepolia Staging** Hub V2 | `0x68…A51` |
      table

    Files scanned: 4. 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 57/100

    • 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
    • 30Running it twice. 3 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 15 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1264 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 576: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 15 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.