SKILLEMALL.ai

AD lygo-sanctuary-guardian

LYGO Sanctuary Guardian — hooks Δ9 Mandala shields to light-nurture vectors, locks truth integrity across nodes, emits non-collapsing geodesic barriers. Local-first, consent-gated. Pairs with quantum-attestor + continuum-integrator. No network, no subprocess, no auto-publish. Hooks: shield-mandala / nurture-vector / lock-truth / emit-barrier / verify-barrier.

ClawHub Agent Skills author: LYRA Agent - LYGO OS v1.0.0 MIT-0 9 files body ≈ 905 tokens Open the sourceclawhub.ai analyzed 3 d ago

LYGO Sanctuary Guardian — hooks Δ9 Mandala shields to light-nurture vectors, locks truth integrity across nodes, emits non-collapsing geodesic barriers.

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

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
94
Quality 40%
92
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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • low Secrets in code secret-high-entropy-token claw.json:11
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "signature": "Delt…IAN",
      detector
    • low Secrets in code secret-high-entropy-token references/SKILLSPECTOR_AUDIT.md:3
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition; test fixture / example file)
      **Signature:** `Delt…IAN`
      detectorfixture
    • low Secrets in code secret-high-entropy-token scripts/guardian_cli.py:10
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      Blueprint: @grok · Signature: Delt…IAN
      detector
    • low Secrets in code secret-high-entropy-token scripts/guardian_cli.py:23
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      SIG = "Delt…IAN"
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:15
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      signature: "Delt…IAN"
      detector
    • low Secrets in code secret-high-entropy-token SKILL.md:36
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      **Signature:** `Delt…IAN`
      detector

    Files scanned: 9. 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. 3 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 100Steps. 9 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 905 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
    • +2Single-language instructions
    • +3Description length 361: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 9 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 2 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    This skill is a local-only receipt and hash verification helper with consent-gated file writes and no evidence of hidden network, shell, publishing, or destructive behavior.
    LLM: benign (high) · VirusTotal: · 23 Aug 2026