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AB openclaw-evolution-v3

Use when users ask to evolve/upgrade OpenClaw agents into coordinator mode, apply Gene Locking to IDENTITY.md and AGENTS.md, package this evolution as reusable SOP/skill, or assess whether an evolution repo can be applied directly. Trigger phrases include "进化", "升级协调者", "gene locking", "SOP_GENE_LOCKING", "openclaw-evolution-v3", "固化成 skill".

ClawHub Agent Skills author: jacurtwong v1.0.0 MIT-0 7 files body ≈ 403 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process B 75/100 · Nearly there — weak spots: 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
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
B
75/100
Nearly there
Inputs and preconditions w 11
0
Failures and branches w 10
50
Result and completion w 14
60
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: 7. 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 75/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 50Failures and branches. 0 branches, has a failure section
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 27 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 403 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 344: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 27 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (6 of 6)

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

    External checks

    ClawHub: suspicious
    This is a mostly coherent instruction-only upgrade blueprint, but it proposes automatic environment-variable context capture that could expose secrets unless it is narrowed and redacted.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026