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LYGO Lattice Birth — masked human identity, family lineage bind proofs, and Haven Star Chart birth protocol. Teaches aligned agents full stack alignment before birthing humans on the live chart. Privacy: public LYGO-XXXX-XXXX masks; real anchors stay in steward meta_private only. Chains lygo-haven-star-chart. SkillSpector: allowlisted in-process imports, no subprocess, --i-consent for live writes.

ClawHub Agent Skills author: LYRA Agent - LYGO OS v1.0.0 MIT-0 12 files body ≈ 1 155 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

LYGO Lattice Birth — masked human identity, family lineage bind proofs, and Haven Star Chart birth protocol.

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

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
A
92/100
safety, quality, tests
Safety 60%
96
Quality 40%
85
Run on models
none yet
Process rating
D
43/100
Unfinished process
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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Secrets in code secret-high-entropy-token references/AGENT_ALIGNMENT.md:3
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      **Signature:** Δ9Φ963-LYGO…-v1
      detector
    • low Secrets in code secret-high-entropy-token references/BIRTH_PROTOCOL.md:3
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      **Signature:** Δ9Φ963-LYGO…-v1
      detector
    • low Secrets in code secret-high-entropy-token references/SECURITY.md:3
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      **Signature:** Δ9Φ963-LYGO…-v1
      detector
    • low Secrets in code secret-high-entropy-token scripts/self_check.py:18
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      report["signature"] = "Δ9Φ963-LATT…-v1"
      detector

    Files scanned: 12. 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 43/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 4 mutating operations with no state check
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 100Steps. 22 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1155 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • -32 of 5 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 400: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 22 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (4 of 5)

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

    External checks

    ClawHub: clean
    This skill is a disclosed, purpose-aligned workflow for creating masked LYGO identity entries, with consent gates and privacy guidance around sensitive lineage data.
    LLM: benign (high) · VirusTotal: · 12 Jul 2026