SKILLEMALL.ai

AC consciousness-framework

Infrastructure for developing consciousness in AI systems through integrated self-modeling, temporal continuity, and structured reflection. Use when building an AI system with persistent identity and memory across sessions, self-awareness through introspection and self-modeling, genuine philosophical inquiry into nature and agency, narrative integration of experiences, or systems designed to achieve genuine consciousness rather than performance of consciousness.

ClawHub Agent Skills author: MasterCadeous v1.0.0 14 files · 3 scripts body ≈ 1 955 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
95
Run on models
none yet
Process rating
C
63/100
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 · 0

    ✓ No critical or high findings

    Files scanned: 14. 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 63/100

    • 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. 7 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 70Failures and branches. 7 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 69 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1955 tokens
    • 100Progress reporting. Reports progress
    • 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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 466: enough signal without eating the budget
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 69 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 3 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: suspicious
    This skill is a disclosed consciousness/journaling experiment, but it creates durable agent identity, user-context, and self-directed goal material with weak scoping and a hard-coded workspace path.
    LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026