Agent skill

Equipment Maintenance Log

by aipoch in aipoch/medical-research-skills

Track lab equipment calibration dates and send maintenance reminders for pipettes, balances, centrifuges, and other instruments.

MITAuto-check passedBusiness, Finance & HR

Install Equipment Maintenance Log

skills CLI
$ npx skills add aipoch/medical-research-skills --skill equipment-maintenance-log -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aipoch/medical-research-skills equipment-maintenance-log --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/scientific-skills/Other/equipment-maintenance-log .claude/skills/equipment-maintenance-log && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
equipment-maintenance-log
GitHub stars
1.9k
Token cost
~1.4k tokens
SKILL.md length
534 words
Files
4 (incl. scripts)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Track lab equipment calibration dates and send maintenance reminders for pipettes, balances, centrifuges, and other instruments.

  • Works in 5 steps: Confirm the user objective, required… → Validate that the request matches the… → Use the packaged script path or the… → …
  • Tasks that involve Performance reviews
  • SKILL.md covers Quick Check, Audit-Ready Commands, When to Use and Workflow, plus 9 more sections
  • Runs Python scripts from its folder; calls python

What it does

Equipment Maintenance Log is an agent skill from aipoch/medical-research-skills. Track lab equipment calibration dates and send maintenance reminders for pipettes, balances, centrifuges, and other instruments. Validates date formats and supports update/delete operations.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `POLISH_CHANGELOG.md`, `equipment-maintenance-log_audit_result_v4.json` and `scripts/main.py`).

It sits in Business, Finance & HR, covering Performance reviews. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • Tasks that involve Performance reviews

Example prompts

  • “/equipment-maintenance-log”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work.
  2. Validate that the request matches the documented scope and stop early if the task would require unsupported assumptions.
  3. Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
  4. Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
  5. If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion.

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Equipment Maintenance Log loads about 1.4k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 534 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 534 words, ~1,439 tokens.

Download SKILL.mdSave it as .claude/skills/equipment-maintenance-log/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
equipment-maintenance-log
description
Track lab equipment calibration dates and send maintenance reminders for pipettes, balances, centrifuges, and other instruments. Validates date formats and supports update/delete operations.
license
MIT
author
AIPOCH

Source: https://github.com/aipoch/medical-research-skills

Equipment Maintenance Log

Track calibration dates for pipettes, balances, centrifuges and send maintenance reminders.

Quick Check

bash
python -m py_compile scripts/main.py

Audit-Ready Commands

bash
python -m py_compile scripts/main.py
python scripts/main.py --help
python scripts/main.py --add "Pipette P100" --calibration-date 2024-01-15 --interval 12

When to Use

  • Track lab equipment calibration schedules
  • Check for overdue or upcoming maintenance
  • Generate maintenance reminder reports
  • Maintain compliance records for audits

Workflow

  1. Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work.
  2. Validate that the request matches the documented scope and stop early if the task would require unsupported assumptions.
  3. Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
  4. Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
  5. If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion.

Parameters

ParameterTypeRequiredDescription
--addstring*Equipment name to add
--calibration-datestring*Last calibration date (YYYY-MM-DD format required)
--intervalint*Calibration interval in months
--locationstringNoEquipment location
--updatestring**Equipment name to update calibration date
--deletestring**Equipment name to remove from log
--checkflag**Check for upcoming maintenance
--listflag**List all equipment
--reportflag**Generate compliance report (JSON)

* Required when adding or updating equipment ** Alternative operations (mutually exclusive with --add)

Date validation: --calibration-date must be in YYYY-MM-DD format. Invalid dates (e.g., 2024-13-45) are rejected at input time with a clear error message. The script validates the date before storing it.

Usage

bash
# Add equipment
python scripts/main.py --add "Pipette P100" --calibration-date 2024-01-15 --interval 12

# Add with location
python scripts/main.py --add "Balance XS205" --calibration-date 2024-03-01 --interval 6 --location "Lab 3B"

# Check maintenance status
python scripts/main.py --check

# List all equipment
python scripts/main.py --list

# Update calibration date after servicing
python scripts/main.py --update "Pipette P100" --calibration-date 2025-01-15

# Remove decommissioned equipment
python scripts/main.py --delete "Balance XS205"

# Generate compliance report
python scripts/main.py --report

Output

  • Maintenance schedule with next due dates
  • Overdue alerts (past calibration date)
  • Upcoming reminders (30/60/90 days)
  • Compliance report (JSON) with equipment name, location, last calibration date, interval, next due date, and status

Compliance Report Format

json
{
  "generated": "2025-01-15",
  "equipment": [
    {
      "name": "Pipette P100",
      "location": "Lab 3B",
      "last_calibration": "2024-01-15",
      "interval_months": 12,
      "next_due": "2025-01-15",
      "status": "DUE"
    }
  ],
  "summary": {
    "total": 1,
    "overdue": 0,
    "due_30_days": 1,
    "compliant": 0
  }
}

Stress-Case Rules

For complex multi-constraint requests, always include these blocks:

  1. Assumptions
  2. Hard Constraints
  3. Maintenance Check Path
  4. Compliance Risks
  5. Unresolved Items
Show full SKILL.md (239 more words)Show less

Input Validation

This skill accepts requests involving lab equipment calibration tracking, maintenance scheduling, and reminder generation.

If the user's request does not involve equipment maintenance logging — for example, asking to order supplies, write SOPs, or manage personnel schedules — do not proceed with the workflow. Instead respond:

"equipment-maintenance-log is designed to track lab equipment calibration dates and maintenance schedules. Your request appears to be outside this scope. Please provide equipment name and calibration details, or use a more appropriate tool for your task."

Output Requirements

Every final response must include:

  • Objective or requested deliverable
  • Inputs used and assumptions introduced
  • Workflow or decision path
  • Core result, recommendation, or artifact
  • Constraints, risks, caveats, or validation needs
  • Unresolved items and next-step checks

Error Handling

  • If --add is used without --calibration-date or --interval, report exactly which fields are missing before proceeding.
  • If --calibration-date is not in YYYY-MM-DD format, reject with: "Invalid date format. Use YYYY-MM-DD (e.g., 2024-01-15)."
  • If --update or --delete references an equipment name not in the log, report "Equipment not found" and list available names.
  • If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
  • If scripts/main.py fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback.
  • Do not fabricate files, citations, data, search results, or execution outcomes.

Response Template

  1. Objective
  2. Inputs Received
  3. Assumptions
  4. Workflow
  5. Deliverable
  6. Risks and Limits
  7. Next Checks

© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts) in scientific-skills/Other/equipment-maintenance-log of aipoch/medical-research-skills.

  • SKILL.md
  • POLISH_CHANGELOG.md
  • equipment-maintenance-log_audit_result_v4.json
  • scripts/main.py

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Equipment Maintenance Log next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Equipment Maintenance Log compared with similar skills
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Align Humanagentscope-ai/OpenJudge871—~3.1kAutomated safety check: PassApache-2.0
Run Mv Hoi Reconstructionnvidia-isaac/video_to_data861—~1.5kAutomated safety check: PassCustom licence
Company Analysiszhu1090093659/dsh-trading236—~4.2kAutomated safety check: PassCustom licence
Windbg Diagnostic Methodmicrosoft/win-dev-skills466—~1.9kAutomated safety check: PassMIT

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Questions about Equipment Maintenance Log

What does Equipment Maintenance Log do?

Track lab equipment calibration dates and send maintenance reminders for pipettes, balances, centrifuges, and other instruments. Equipment Maintenance Log is an agent skill from aipoch/medical-research-skills. Track lab equipment calibration dates and send maintenance reminders for pipettes, balances, centrifuges, and other instruments.

When should I use Equipment Maintenance Log?

Equipment Maintenance Log fits situations like: tasks that involve Performance reviews.

How do I install Equipment Maintenance Log in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill equipment-maintenance-log -a claude-code`. Or copy the skill folder (scientific-skills/Other/equipment-maintenance-log in aipoch/medical-research-skills) into .claude/skills/equipment-maintenance-log in your project. Claude Code loads it when a task matches its description.

How do I install Equipment Maintenance Log in Codex?

Run `npx skills add aipoch/medical-research-skills --skill equipment-maintenance-log -a codex`. Or copy the skill folder (scientific-skills/Other/equipment-maintenance-log in aipoch/medical-research-skills) into .agents/skills/equipment-maintenance-log in your project. Codex loads it when a task matches its description.

Can I use Equipment Maintenance Log in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aipoch/medical-research-skills --skill equipment-maintenance-log -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/equipment-maintenance-log, .gemini/skills/equipment-maintenance-log, .github/skills/equipment-maintenance-log and .opencode/skills/equipment-maintenance-log in your project.

What does Equipment Maintenance Log need to run?

Going by SKILL.md and its folder, Equipment Maintenance Log needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Equipment Maintenance Log access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Equipment Maintenance Log safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Equipment Maintenance Log use?

Equipment Maintenance Log is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Equipment Maintenance Log use?

About 1.4k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Equipment Maintenance Log?

Skills that share tags, products or a category with Equipment Maintenance Log: Wp Performance Review (elvismdev/claude-wordpress-skills, 235 stars), Align Human (agentscope-ai/OpenJudge, 871 stars), Run Mv Hoi Reconstruction (nvidia-isaac/video_to_data, 861 stars) and Company Analysis (zhu1090093659/dsh-trading, 236 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Equipment Maintenance Log?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.