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BF ioc-patrol-report

🏢 IOC智能运维报告生成器 - 为智能建筑/园区自动生成专业巡检报告。分析设备状态、报警记录、能耗数据、工单进度，生成日报/周报。支持PostgreSQL数据库连接，输出Markdown/HTML格式。适用于物业管理、商业综合体、工业园区、医院学校等智能建筑运维场景。

ClawHub Agent Skills author: onlyloveher v1.0.1 MIT-0 13 files body ≈ 1 028 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 27/100 · Will not run — References files that are not bundled: scripts/analyze.py

ReferenceData and analyticsInfrastructuretype 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%
99
Quality 40%
67
Run on models
none yet
Process rating
F
27/100
Will not run
References files that are not bundled: scripts/analyze.py
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

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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-cron-mention SKILL.md:145
    Mentions editing / listing crontab
    # crontab -e

Files scanned: 13. 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: scripts/analyze.py

Process rating: all ten parameters 27/100

Will not run. References files that are not bundled: scripts/analyze.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/analyze.py
  • 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
  • 40Consistency. Frontmatter name (ioc-patrol-report) differs from the folder (ioc-patrol-report-cn)
  • 75Steps. 3 steps
  • 100Execution cost. Instruction body is 1028 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
  • -215 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 136: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 3 items
  • +4Has examples (13 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
This skill is a building-operations report generator, but it ships with a real remote database credential and queries hard-coded operational tables beyond what users are clearly told.
LLM: suspicious (high) · VirusTotal: · 29 May 2026