SKILLEMALL.ai

BF lygo-kernel-egg-planter

Consent-gated Kernel Egg Planter — SHA-256 + Merkle registry + optional local/Turbo anchor. Mandatory post-plant tamper verify (no skip). Retrieve requires consent + ALIGNED verify (no force). Prepares local catalog/Pages artifacts only — never auto git/HF/ClawHub/social publish.

ClawHub Agent Skills author: LYRA Agent - LYGO OS v1.3.1 MIT-0 21 files body ≈ 1 070 tokens Open the sourceclawhub.ai analyzed 2 d ago

Consent-gated Kernel Egg Planter — SHA-256 + Merkle registry + optional local/Turbo anchor.

As a process F 38/100 · Will not run — References files that are not bundled: references/SECURITY.md, references/SKILLSPECTOR_AUDIT.md, references/AGENT_CONTRACT.md

ProcedureSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: references/SECURITY.md, references/SKILLSPECTOR_AUDIT.md, references/AGENT_CONTRACT.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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 · 0

✓ No critical or high findings

Files scanned: 0. 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: references/SECURITY.md
  • warning missing-ref reference to a missing file: references/SKILLSPECTOR_AUDIT.md
  • warning missing-ref reference to a missing file: references/AGENT_CONTRACT.md
  • warning missing-ref reference to a missing file: references/TAMPER_FOUR_PILLARS.md

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: references/SECURITY.md, references/SKILLSPECTOR_AUDIT.md, references/AGENT_CONTRACT.md
  • 0Tools and files. 4 referenced file(s) missing: references/SECURITY.md, references/SKILLSPECTOR_AUDIT.md, references/AGENT_CONTRACT.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 8 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 100Steps. 10 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1070 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 280: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 10 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This skill is a disclosed, consent-gated local LYGO stack tool, with the main risk being that it intentionally runs tools from a stack directory the user must trust.
LLM: benign (high) · VirusTotal: · 29 Jul 2026