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BC proclaw-omni-memory-ultimate-en

Autonomous Intelligent Agent Cognitive Core, integrating 8-layer memory architecture with 4-phase autonomous capabilities: Self-Driven Engine (intrinsic motivation/goal generation) + Self-Evolution Core (cognitive assessment/architecture upgrade) + Self-Learning Engine (question generation/knowledge construction) + Core Axis System (cognitive/value/growth axes/evolution chain/value chain/transaction chain); Use when building intelligent agents with intrinsic drive, proactive evolution, and self-breakthrough capabilities

ClawHub Agent Skills author: thinkbugs v1.0.0 MIT-0 41 files body ≈ 3 224 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentsInfrastructuretype 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
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
C
51/100
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 · 0

    ✓ No critical or high findings

    Files scanned: 41. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Autonomous Intelligent Agent Cognitive Core, integrating 8-layer m… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
    • note frontmatter-key unknown frontmatter key "website"
    • note frontmatter-key unknown frontmatter key "contact"
    • note frontmatter-key unknown frontmatter key "dependency"

    Process rating: all ten parameters 51/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (proclaw-omni-memory-ultimate-en) differs from the folder (proclaw-omni-memory-ultimate)
    • 100Tools and files. No external tools needed
    • 100Steps. 30 steps
    • 100Execution cost. Instruction body is 3224 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress

    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
    • -46 reference files, but SKILL.md never points to them: the model will not open them
    • -316 of 31 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 525: enough signal without eating the budget
    • +4Structure: 22 headings
    • +3Step-by-step instructions: 30 items
    • +4Has examples (7 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

    External checks

    ClawHub: suspicious
    This appears to be a legitimate memory and autonomous-agent toolkit, but it broadly stores and reuses user/project information with weak consent, retention, and safety controls.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026