MCP Server Builder
anthropics/skills
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Predict depletion time of critical lab reagents based on historical usage frequency, and automatically generate purchase alerts when stock falls below safety thresholds.
MITAuto-check passed
Install Lab Inventory Predictor
$ npx skills add aipoch/medical-research-skills --skill lab-inventory-predictor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aipoch/medical-research-skills lab-inventory-predictor --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/lab-inventory-predictor .claude/skills/lab-inventory-predictor && rm -rf skills-srcUse ~/.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/
Install the "lab-inventory-predictor" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/lab-inventory-predictor into .claude/skills/lab-inventory-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab-inventory-predictor", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/lab-inventory-predictorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aipoch/medical-research-skills --skill lab-inventory-predictor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aipoch/medical-research-skills lab-inventory-predictor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/scientific-skills/Other/lab-inventory-predictor .agents/skills/lab-inventory-predictor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lab-inventory-predictor" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/lab-inventory-predictor into .agents/skills/lab-inventory-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab-inventory-predictor", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aipoch/medical-research-skills --skill lab-inventory-predictor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aipoch/medical-research-skills lab-inventory-predictor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/scientific-skills/Other/lab-inventory-predictor .cursor/skills/lab-inventory-predictor && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "lab-inventory-predictor" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/lab-inventory-predictor into .cursor/skills/lab-inventory-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab-inventory-predictor", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aipoch/medical-research-skills.git --path scientific-skills/Other/lab-inventory-predictor--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aipoch/medical-research-skills --skill lab-inventory-predictor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aipoch/medical-research-skills lab-inventory-predictor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/scientific-skills/Other/lab-inventory-predictor .gemini/skills/lab-inventory-predictor && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "lab-inventory-predictor" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/lab-inventory-predictor into .gemini/skills/lab-inventory-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab-inventory-predictor", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aipoch/medical-research-skills lab-inventory-predictorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aipoch/medical-research-skills --skill lab-inventory-predictor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/scientific-skills/Other/lab-inventory-predictor .github/skills/lab-inventory-predictor && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "lab-inventory-predictor" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/lab-inventory-predictor into .github/skills/lab-inventory-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab-inventory-predictor", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aipoch/medical-research-skills --skill lab-inventory-predictor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aipoch/medical-research-skills lab-inventory-predictor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/scientific-skills/Other/lab-inventory-predictor .opencode/skills/lab-inventory-predictor && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "lab-inventory-predictor" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Other/lab-inventory-predictor into .opencode/skills/lab-inventory-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab-inventory-predictor", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
lab-inventory-predictor- GitHub stars
- 2k
- Token cost
- ~2.2k tokens
- SKILL.md length
- 871 words
- Files
- 4 (incl. scripts)
- Skills in repo
- 578
- Repo updated
- First seen
- Licence
- MIT
At a glance
Predict depletion time of critical lab reagents based on historical usage frequency, and automatically generate purchase alerts when stock falls below safety thresholds.
- Works in 5 steps: Validate input — confirm the request is… → Confirm the user objective, required… → Use the packaged script path or the… → …
- SKILL.md covers Input Validation, Quick Check, Prerequisites and When to Use, plus 9 more sections
- Runs Python scripts from its folder; calls python, pyenv and conda
What it does
Lab Inventory Predictor is an agent skill from aipoch/medical-research-skills. Predict depletion time of critical lab reagents based on historical usage frequency, and automatically generate purchase alerts when stock falls below safety thresholds.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `lab-inventory-predictor_audit_result_v4.json` and `scripts/main.py`).
It works with Python. 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.
Example prompts
- “/lab-inventory-predictor”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Validate input — confirm the request is within scope before any processing.
- Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work.
- Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
- Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
- 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:
pythonpyenvconda
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
Lab Inventory Predictor loads about 2.2k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 871 words of instructions outside code blocks.
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). 871 words, ~2,158 tokens.
Download SKILL.mdSave it as
.claude/skills/lab-inventory-predictor/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- lab-inventory-predictor
- description
- Predict depletion time of critical lab reagents based on historical usage frequency, and automatically generate purchase alerts when stock falls below safety thresholds.
- license
- MIT
- author
- AIPOCH
Lab Inventory Predictor
Predicts reagent depletion time by analyzing historical usage frequency, and automatically generates reminders when purchases are needed.
Input Validation
This skill accepts: lab reagent inventory data (stock levels, usage records) for the purpose of predicting depletion dates and generating purchase alerts.
If the user's request does not involve lab reagent inventory management or depletion prediction — for example, asking to analyze experimental results, manage equipment, or perform general data analysis — do not proceed with the workflow. Instead respond:
"lab-inventory-predictor is designed to predict reagent depletion and generate purchase alerts based on usage history. Your request appears to be outside this scope. Please provide reagent inventory data, or use a more appropriate tool for your task."
Do not continue the workflow when the request is out of scope, missing the required --action parameter, or would require unsupported assumptions. For missing inputs, state exactly which fields are missing.
Quick Check
python -m py_compile scripts/main.py
python scripts/main.py --help
python scripts/main.py --action statusPrerequisites
- Python 3.8+ is strictly required (uses
dataclassesmodule). On Python 3.6 the script will fail at import withModuleNotFoundError. Upgrade withpyenv install 3.8orconda create -n lab python=3.8. - The script should include a version guard:
if sys.version_info < (3, 8): sys.exit('Error: Python 3.8+ required')before the dataclasses import. - No external dependencies (uses only standard library)
pip install -r requirements.txtWhen to Use
- Predict when lab reagents will run out based on historical consumption data
- Generate purchase alerts before reagents deplete below safety thresholds
- Track stock levels and usage history for multiple reagents
- Generate inventory reports in text, JSON, or CSV format
Workflow
- Validate input — confirm the request is within scope before any processing.
- Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work.
- Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
- Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
- If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion.
Core Capabilities
- Inventory Tracking — Record current reagent stock levels
- Usage Frequency Analysis — Calculate consumption rate based on experiment records
- Depletion Prediction — Predict reagent depletion date based on consumption rate
- Purchase Alerts — Generate alerts before reagents are about to deplete
- Safety Stock Alerts — Alert when inventory falls below safety threshold
Usage
Command Line
# View all reagent status
python scripts/main.py --action status
# Add or update reagent information
python scripts/main.py --action add-reagent \
--name "PBS Buffer" \
--current-stock 500 \
--unit "ml" \
--safety-days 7
# Record experiment consumption
python scripts/main.py --action record-usage \
--name "PBS Buffer" \
--amount 50 \
--experiment "Cell Culture Experiment #2024-001"
# Get purchase alerts
python scripts/main.py --action alerts
# Generate prediction report
python scripts/main.py --action reportPython API
from skills.lab_inventory_predictor import InventoryPredictor
predictor = InventoryPredictor("/path/to/inventory.json")
predictor.add_reagent(name="PBS Buffer", current_stock=500, unit="ml", safety_days=7, lead_time_days=3)
predictor.record_usage("PBS Buffer", 50, "Experiment #001")
prediction = predictor.predict_depletion("PBS Buffer")
print(f"Predicted depletion time: {prediction['depletion_date']}")
alerts = predictor.get_alerts()Parameters
Global Parameters
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--action | string | - | Yes | Action: status, add-reagent, record-usage, alerts, report |
--data-file | string | ~/.openclaw/workspace/data/lab-inventory.json | No | Path to inventory data file (must be within workspace; ../ paths rejected) |
add-reagent Action
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--name | string | - | Yes | Reagent name |
--current-stock | float | - | Yes | Current stock quantity |
--unit | string | - | Yes | Unit of measurement (ml, mg, etc.) |
--safety-days | int | 7 | No | Safety buffer days |
--lead-time-days | int | 3 | No | Expected delivery time |
--safety-stock | float | - | No | Safety stock threshold |
record-usage Action
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--name | string | - | Yes | Reagent name |
--amount | float | - | Yes | Amount consumed |
--experiment | string | - | No | Experiment identifier |
report Action
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--output, -o | string | stdout | No | Output file path |
--format | string | text | No | Output format (text, json, csv) |
Prediction Algorithm
Consumption Rate
daily_consumption = Σ(usage_amount) / days_spanDepletion Date
days_until_depletion = current_stock / daily_consumption
depletion_date = today + days_until_depletionShow full SKILL.md (351 more words)Show less
Purchase Alert Trigger Conditions
- Time-based: When
days_until_depletion <= safety_days + lead_time_days - Stock-based: When
current_stock <= safety_stock
Confidence Warning
When a reagent has fewer than 3 usage records, the prediction is flagged as LOW_CONFIDENCE. The output will include:
"Warning: Only [N] usage records available for [reagent]. Prediction reliability is low — collect more usage data before relying on this estimate."
Each LOW_CONFIDENCE prediction must include an inline risk note adjacent to the prediction result, not only in the aggregate Risks section.
Fallback Behavior
If scripts/main.py fails or required inputs are incomplete:
- Report the exact failure point and error message.
- State what can still be completed (e.g., status check without prediction).
- Manual fallback: verify the inventory JSON file exists at the configured path, then re-run with
--action statusto confirm data integrity. - Do not fabricate execution outcomes or inventory data.
Output Requirements
Every final response must make these items explicit when relevant:
- Objective or requested deliverable
- Inputs used and assumptions introduced
- Workflow or decision path
- Core result, recommendation, or artifact
- Constraints, risks, caveats, or validation needs (including LOW_CONFIDENCE flags for sparse data, noted inline per reagent)
- Unresolved items and next-step checks
Error Handling
- If required inputs are missing, state exactly which fields are missing and request only the minimum additional information.
- If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
- If
--data-filepath contains../or points outside the workspace, reject with a path traversal warning. - If
scripts/main.pyfails, 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
Use the following fixed structure for non-trivial requests:
- Objective
- Inputs Received
- Assumptions
- Workflow
- Deliverable
- Risks and Limits (include LOW_CONFIDENCE flag inline per reagent if fewer than 3 usage records)
- Next Checks
For stress/multi-constraint requests, also include:
- Constraints checklist (compliance, performance, error paths)
- Unresolved items with explicit blocking reasons
If the request is simple, you may compress the structure, but still keep assumptions and limits explicit when they affect correctness.
© 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/lab-inventory-predictor of aipoch/medical-research-skills.
- SKILL.md
- lab-inventory-predictor_audit_result_v4.json
- requirements.txt
- scripts/main.py
Open the folder on GitHubat commit 686e09d
Compare with similar skills
Lab Inventory Predictor 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Lab Inventory Predictor this skillaipoch/medical-research-skills | 2k | — | ~2.2k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 48 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 28k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
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Questions about Lab Inventory Predictor
What does Lab Inventory Predictor do?
Predict depletion time of critical lab reagents based on historical usage frequency, and automatically generate purchase alerts when stock falls below safety thresholds. Lab Inventory Predictor is an agent skill from aipoch/medical-research-skills. Predict depletion time of critical lab reagents based on historical usage frequency, and automatically generate purchase alerts when stock falls below safety thresholds.
How do I install Lab Inventory Predictor in Claude Code?
Run `npx skills add aipoch/medical-research-skills --skill lab-inventory-predictor -a claude-code`. Or copy the skill folder (scientific-skills/Other/lab-inventory-predictor in aipoch/medical-research-skills) into .claude/skills/lab-inventory-predictor in your project. Claude Code loads it when a task matches its description.
How do I install Lab Inventory Predictor in Codex?
Run `npx skills add aipoch/medical-research-skills --skill lab-inventory-predictor -a codex`. Or copy the skill folder (scientific-skills/Other/lab-inventory-predictor in aipoch/medical-research-skills) into .agents/skills/lab-inventory-predictor in your project. Codex loads it when a task matches its description.
Can I use Lab Inventory Predictor 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 lab-inventory-predictor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lab-inventory-predictor, .gemini/skills/lab-inventory-predictor, .github/skills/lab-inventory-predictor and .opencode/skills/lab-inventory-predictor in your project.
What does Lab Inventory Predictor need to run?
Going by SKILL.md and its folder, Lab Inventory Predictor needs Python for the scripts in its folder and the command-line tools its instructions call (python, pyenv and conda). Our summary lists: Python 3.
Does Lab Inventory Predictor 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 Lab Inventory Predictor 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 Lab Inventory Predictor use?
Lab Inventory Predictor 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 Lab Inventory Predictor use?
About 2.2k tokens (SKILL.md is roughly 8.6k 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 Lab Inventory Predictor?
Skills that share tags, products or a category with Lab Inventory Predictor: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Lab Inventory Predictor?
aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,978 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.