Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/rbrands/intervals-icu-sync/copilot-instructionsgit clone --depth 1 https://github.com/rbrands/intervals-icu-syncWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/rbrands/intervals-icu-sync/copilot-instructions)<a href="https://agentmods.dev/instructions/rbrands/intervals-icu-sync/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/rbrands/intervals-icu-sync/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00843 | $0.00843 |
| Opus 5 | $0.00421 | $0.00421 |
| Sonnet 5 | $0.00169 | $0.00169 |
| Haiku 4.5 | $0.00084 | $0.00084 |
Grade A, and why
intervals-icu-sync copilot-instructions.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot Instructions
Language
All code, comments, variable names, function names, and documentation must be written in English.
README
- The
README.mdmust be kept up to date. - Whenever a new script is added or an existing script is changed, update the relevant section in
README.md. - The project structure section in
README.mdmust reflect the actual file layout at all times. - Usage examples in
README.mdmust match the current script behavior (arguments, output filenames, etc.).
Project Overview
This project fetches, analyzes, and exports cycling training data from the intervals.icu API.
- Language: Python 3.12+
- Virtual environment:
.venv/ - Dependencies:
requirements.txt - Configuration:
.envfile (never committed);API_KEYandATHLETE_IDare loaded viasrc/intervals_icu/config.py
Project Structure
intervals-icu-sync/
├── scripts/ # Runnable entry-point scripts
│ ├── get_activities.py # Fetch activities → data/raw/
│ ├── get_metrics.py # Fetch athlete metrics → data/processed/
│ ├── analyze_week.py # Analyze current calendar week (Joe Friel)
│ ├── prepare_activities_for_coach.py # Export simplified JSON for coach/ChatGPT
│ ├── fueling_analysis.py # Analyze carbohydrate fueling quality
│ └── prepare_week_for_coach.py # Run all scripts in sequence
├── src/
│ └── intervals_icu/
│ ├── __init__.py
│ ├── client.py # HTTP client (intervals.icu API)
│ └── config.py # Loads API_KEY, ATHLETE_ID from .env
├── data/
│ ├── raw/ # Raw API responses (git-ignored)
│ └── processed/ # Derived JSON exports (git-ignored)
├── .env.example
├── requirements.txt
└── README.md
Code Conventions
- All scripts are runnable directly:
python scripts/<script>.py - Scripts import from
src/usingsys.pathinsertion or the package being installed in editable mode. - Raw data is always saved to
data/raw/, processed/derived data todata/processed/. - Output filenames include an ISO date (Monday of the current week or today) for traceability.
- Use
pathlib.Pathfor all file path handling — neveros.path. - Keep functions small and named clearly. Each script has a
main()entry point. - No hardcoded credentials. Always read from environment variables via
config.py.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 81 lines · 843 tokens per session scan A ced5766ba80f
intervals-icu-sync copilot-instructions.md is an instructions file published in the GitHub repository rbrands/intervals-icu-sync (16 stars, last pushed today), licensed MIT. It adds 843 tokens to every session, about $0.0042 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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