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BC gateway-upgrade-local-fork

OpenClaw 网关服务本地 fork 升级 skill。覆盖 backup → upgrade → env-merge → verify 全流程。专门处理 OpenClaw systemd service 升级时丢失 user 自定义环境变量（CUDA / LD_LIBRARY_PATH / QMD_EMBED_MODEL）的问题，跑 qmd doctor 检查 RTX 30/40 系 GPU 加速状态，串行重建 per-agent qmd 索引避免 batch embed lock 争用。No data forwarded; all operations are local service+db manipulation only.

ClawHub Agent Skills author: AxelHu v0.3.0 MIT-0 14 files · 4 scripts body ≈ 483 tokens Open the sourceclawhub.ai↗ analyzed 15 h ago

OpenClaw 网关服务本地 fork 升级 skill。覆盖 backup → upgrade → env-merge → verify 全流程。专门处理 OpenClaw systemd service 升级时丢失 user 自定义环境变量（CUDA / LDLIBRARYPATH /…

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

IntegrationAI 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
B
84/100
safety, quality, tests
Safety 60%
90
Quality 40%
75
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Dangerous commands cmd-shell-rc references/01-preflight.md:82
    Writes to a shell startup file
    echo "=== ~/.bashrc CUDA/QMD env ==="
  • medium Dangerous commands cmd-shell-rc references/01-preflight.md:85
    Writes to a shell startup file
    echo "=== ~/.profile CUDA/QMD env ==="

Files scanned: 14. 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")

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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 15 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 483 tokens
  • 100Running it twice. No mutating operations

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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 323: enough signal without eating the budget
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 15 items
  • +4Reference files are cited in the instructions (7 of 7)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This looks like a legitimate local OpenClaw upgrade aid, but it needs Review because it can alter services and databases, expose raw environment values, and includes unguarded deletion commands.
LLM: suspicious (medium) · VirusTotal: · 5 Jun 2026