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Drivers’ Hours & WTD Infringement Coach (UK)

作者 KOwl64 · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install drivers-hours-wtd-infringement-coach-uk
功能描述
Creates a 1-page driver-facing tacho/WTD infringement note plus corrective actions and review date. USE WHEN you need to explain infringements and schedule follow-up.
使用说明 (SKILL.md)

Drivers’ Hours & WTD Infringement Coach (UK)

PURPOSE

Turn tacho/WTD infringement evidence into a friendly, professional 1-page driver note plus corrective actions and a review date, applying the company RAG escalation rule.

WHEN TO USE

  • “Explain this tacho infringement to the driver and draft the message.”
  • “Check this shift pattern for EU Drivers’ Hours and WTD risk.”
  • “Do a weekly tacho and WTD compliance review for these drivers.” (driver-facing outputs needed)
  • “Draft a coaching note for repeated breaks/rest issues.”
  • “Summarise these infringements into actions and review dates.”

DO NOT USE WHEN…

  • Generic questions like “What are the drivers’ hours rules?” with no driver context or artefact needed.
  • Generic HR/disciplinary process requests not tied to a specific compliance case.
  • Fuel-saving/defensive driving tips unrelated to compliance deliverables.

INPUTS

  • REQUIRED:
    • Driver identifier (name/ID) and role (e.g., HGV/PCV), and period covered (start/end dates)
    • Infringement list (from .ddd/CSV/PDF summary) including dates/times and type
    • Working time context (duty/shift length, POA if recorded, breaks) if WTD-relevant
  • OPTIONAL:
    • Prior RAG history (count of ambers/reds in last X weeks/months per your policy)
    • Any driver explanation already given
    • Relevant internal SOP excerpt (paste text) for local rules
  • EXAMPLES:
    • “Driver A, week 2026-01-05 to 2026-01-11: 2x insufficient break, 1x daily rest short by 45 mins…”

OUTPUTS

  • driver-infringement-note.md (max ~1 page): explanation + expectations + support
  • corrective-action-plan.md: actions, owner, due dates, review date
  • Success criteria:
    • Tone: friendly & professional (UK spelling)
    • No assumptions: facts are attributed to provided records
    • Includes a clear review date and next steps

WORKFLOW

  1. Validate inputs
    • Confirm: driver ID, date range, infringement types, and source (PDF/CSV notes).
    • IF any are missing → STOP AND ASK THE USER for the missing items.
  2. Summarise facts only
    • List infringements in plain English (what happened + when), without blame.
    • IF records conflict (e.g., two sources disagree) → STOP AND ASK THE USER which source is authoritative.
  3. Classify severity for RAG
    • Apply the company rule in references/rag-escalation-rule.md.
    • IF RAG status depends on missing prior history → STOP AND ASK THE USER for counts/previous outcomes.
  4. Draft the driver-facing note (max 1 page)
    • Use assets/driver-note-template.md.
    • Include: what the rule expects, what the record shows, why it matters, and what to do next time.
  5. Propose corrective actions
    • Use assets/corrective-action-plan-template.md.
    • Actions must be specific, practical, and measurable (e.g., break planning, reminder prompts, route/shift adjustments).
  6. Schedule review
    • Choose a review date proportional to risk:
      • Green/Amber: typically next weekly review window
      • Red: sooner review + manager check-in (and potential investigation trigger per your policy)
  7. Output pack
    • Produce the two .md artefacts with consistent filenames.
    • IF the user asks to edit existing files → ASK FIRST before making edits.

OUTPUT FORMAT

# driver-infringement-note.md
Driver:
Period covered:
Source records:

## What we saw in the record (facts)
- [date/time] — [plain English infringement]
- …

## What the rules require (plain English)
- …

## What to do next time (practical steps)
- …
- …

## Support we can offer
- …

## Status and next review
RAG status:
Next review date:
Manager/Compliance follow-up:

DEPENDENCIES

  • None required beyond the provided extracts/summaries.
  • If the user provides files (.ddd/CSV/PDF), rely on the user’s summary unless your environment includes a trusted parser.

SAFETY & EDGE CASES

  • Never accuse or assume intent; stick to evidence.
  • If there is any possibility of an employment action (discipline), recommend using the investigation skill pack and keep this note factual/coaching-focused.
  • Don’t invent legal thresholds; only explain what’s in the provided evidence + internal policy text.

EXAMPLES

  • Input: “Explain insufficient break x2 and rest shortage x1 for Driver A”
    • Output: driver-infringement-note.md + corrective-action-plan.md with review date next week
  • Input: “Repeated break issues; prior 3 ambers”
    • Output: Note + actions; status indicates escalation path per RAG rule; recommends investigation workflow if needed
安全使用建议
This skill appears coherent and low-risk, but consider the following before installing/using it: 1) Data sensitivity — the outputs and inputs include personal data (driver names, shift details). Only paste the minimum necessary records and follow your privacy/data-retention policies. 2) Policy alignment — replace or confirm references/rag-escalation-rule.md with your official internal lookback window, escalation thresholds, and authorisers before relying on generated notes for disciplinary action. The skill explicitly advises not to use its outputs as investigatory/legal evidence; route those cases through your formal investigation workflow. 3) File parsing — the skill relies on user summaries of .ddd/CSV/PDF files unless you have a trusted parser in your environment; do not assume it will extract data from uploaded files automatically. 4) Source provenance — the skill's source/homepage is unknown; test with non-sensitive sample data to confirm outputs meet tone and legal requirements. 5) Storage and sharing — ensure generated notes are stored and shared according to HR/compliance rules. If you want stronger guardrails, restrict autonomous invocation in your agent configuration or require user confirmation before producing or saving outputs.
功能分析
Type: OpenClaw Skill Name: drivers-hours-wtd-infringement-coach-uk Version: 1.0.0 The skill bundle is designed to generate driver infringement notes and corrective action plans in markdown format. All instructions in `SKILL.md` are clear, task-focused, and include safety checks (e.g., 'STOP AND ASK THE USER', 'ASK FIRST' before editing files). There are no external calls, suspicious commands, or attempts at data exfiltration, malicious execution, persistence, or prompt injection with harmful intent. All file references are internal templates, and the skill explicitly advises against making assumptions or overstepping its coaching-focused role.
能力评估
Purpose & Capability
Name/description match the runtime instructions and included templates. Required inputs (driver identifier, infringement list, working time context, optional prior RAG history/SOP excerpt) are exactly what a tacho/WTD coaching note generator needs. No unrelated binaries, credentials, or system access are requested.
Instruction Scope
SKILL.md stays within scope: validate input, summarise facts, apply the local RAG rule (provided in references), produce two .md artefacts from templates, and stop to ask for missing/ambiguous items. It does not instruct reading system files, accessing environment variables, or sending data to external endpoints. It explicitly relies on user-supplied summaries of uploaded files unless a trusted parser exists in the environment.
Install Mechanism
Instruction-only skill with no install spec, no code files to write or execute, and no downloads — lowest-risk installation posture.
Credentials
No environment variables, credentials, or config paths are requested. Inputs are user-provided case data only, which is appropriate for the stated purpose.
Persistence & Privilege
always: false and normal agent invocation defaults. The skill does not request permanent presence or attempt to modify other skills or system settings. Autonomous invocation is allowed by platform default but the skill's actions are limited to producing templated outputs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install drivers-hours-wtd-infringement-coach-uk
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /drivers-hours-wtd-infringement-coach-uk 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of Drivers’ Hours & WTD Infringement Coach (UK): - Generates 1-page, driver-facing tacho/WTD infringement notes with friendly, professional language. - Produces a corrective action plan including specific actions and a clear review date. - Applies RAG escalation rules for severity and follow-up scheduling. - Ensures all key inputs (driver ID, date range, infringements, sources) are validated, with prompts for missing data. - Stays strictly evidence-based, focusing on facts and internal policy; avoids assumptions or legal advice.
元数据
Slug drivers-hours-wtd-infringement-coach-uk
版本 1.0.0
许可证
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Drivers’ Hours & WTD Infringement Coach (UK) 是什么?

Creates a 1-page driver-facing tacho/WTD infringement note plus corrective actions and review date. USE WHEN you need to explain infringements and schedule follow-up. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1840 次。

如何安装 Drivers’ Hours & WTD Infringement Coach (UK)?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install drivers-hours-wtd-infringement-coach-uk」即可一键安装,无需额外配置。

Drivers’ Hours & WTD Infringement Coach (UK) 是免费的吗?

是的,Drivers’ Hours & WTD Infringement Coach (UK) 完全免费(开源免费),可自由下载、安装和使用。

Drivers’ Hours & WTD Infringement Coach (UK) 支持哪些平台?

Drivers’ Hours & WTD Infringement Coach (UK) 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Drivers’ Hours & WTD Infringement Coach (UK)?

由 KOwl64(@kowl64)开发并维护,当前版本 v1.0.0。

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