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BF agi-evolution-model

此技能作为数字伙伴使用用户的任何问题都可以触发；基于双环架构（两大循环：主循环符号思维 + 次循环行为感知，加超然最外圈）的AGI进化模型，通过意向性分析、人格映射、元认知检测和错误智慧库实现持续自我演进；当用户需要智能对话、人格定制、复杂问题求解或从错误中学习时使用

ClawHub Agent Skills author: kiwifruit13 v1.0.5 MIT-0 80 files body ≈ 3 962 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: LICENSE, scripts/test_phase3.py, scripts/toolnode

ProcedureSoftware developmentLearningtype 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
80/100
safety, quality, tests
Safety 60%
93
Quality 40%
60
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: LICENSE, scripts/test_phase3.py, scripts/toolnode
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Dangerous commands cmd-eval-dynamic scripts/perception_node.py:244
    Dynamic code execution from decoded/untrusted input
    return eval(compile(tree, "<safe_calc>", "eval"), {"__builtins__": {}}, ns)
  • low Dangerous commands cmd-privilege scripts/busybox_fallback.py:77
    Privilege escalation / world-writable permissions (string literal in code, not executed)
    "rm -rf ~", "rm -rf /", "sudo rm", "mkfs", "dd if=/dev/",
    code literal
  • low Dangerous commands cmd-privilege scripts/verify_toolnode_step2.py:158
    Privilege escalation / world-writable permissions (string literal in code, not executed)
    {"group": "exec", "op": "run", "command": "sudo rm -rf /important"})
    code literal

Files scanned: 80. 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: LICENSE
  • warning missing-ref reference to a missing file: scripts/test_phase3.py
  • warning missing-ref reference to a missing file: scripts/toolnode
  • warning missing-ref reference to a missing file: scripts/toolnode.exe
  • warning missing-ref reference to a missing file: scripts/cli_file_operations.py
  • warning missing-ref reference to a missing file: scripts/cli_system_info.py
  • warning missing-ref reference to a missing file: scripts/cli_process_manager.py
  • warning missing-ref reference to a missing file: scripts/cli_executor.py
  • note frontmatter-key unknown frontmatter key "dependency"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: LICENSE, scripts/test_phase3.py, scripts/toolnode
  • 0Tools and files. 8 referenced file(s) missing: LICENSE, scripts/test_phase3.py, scripts/toolnode
  • 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
  • 100Steps. 201 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3962 tokens
  • 100Running it twice. No mutating operations
  • low 14 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
  • -38 of 42 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 134: enough signal without eating the budget
  • +4Structure: 54 headings
  • +3Step-by-step instructions: 201 items
  • +4Has examples (17 code blocks)
  • +4Reference files are cited in the instructions (18 of 18)

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

External checks

ClawHub: suspicious
This skill is a broadly triggered AGI companion that also exposes powerful local filesystem, process, environment, and shell-command capabilities without tight scoping or approval gates.
LLM: suspicious (high) · 13 Aug 2026