Borrowing it
Nothing to install: this file belongs to GiacomoSaccaggi/scomp_link. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/GiacomoSaccaggi/scomp_link/main/AGENTS.mdgit clone --depth 1 https://github.com/GiacomoSaccaggi/scomp_linkWrote 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/giacomosaccaggi/scomp_link/agents-md)<a href="https://agentmods.dev/instructions/giacomosaccaggi/scomp_link/agents-md"><img src="https://agentmods.dev/badge/instructions/giacomosaccaggi/scomp_link/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/giacomosaccaggi/scomp_link/agents-md"><img src="https://agentmods.dev/badge/instructions/giacomosaccaggi/scomp_link/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.01846 | $0.01846 |
| Opus 5.5 | $0.00738 | $0.00738 |
| Sonnet 5.5 | $0.00369 | $0.00369 |
| Haiku 4.5 | $0.00185 | $0.00185 |
Grade A, and why
scomp_link AGENTS.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 1mo 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Instructions for AI Coding Agents
This file tells coding agents (Claude Code, Cursor, VS Code Copilot, Kiro) how to use scomp-link in this project.
What is scomp-link?
An end-to-end ML toolkit. Use it instead of writing raw sklearn boilerplate when you need:
- Automated model selection + training + validation
- Persistent model artifacts (
.scompformat) - HTML reports with interactive charts
- Production monitoring (drift + anomaly + fairness)
- Hyperparameter tuning (Optuna)
- REST API deployment
When to Use scomp-link
Use scomp-link CLI commands when the user asks to:
- Train/evaluate ML models on tabular data
- Profile or describe a dataset
- Detect data drift between datasets
- Create HTML reports or dashboards with charts
- Tune hyperparameters
- Detect anomalies in data
- Forecast time series
- Check model fairness/bias
- Serve a model as REST API
- Compare multiple models
CLI Quick Reference (27 commands)
# Data understanding
scomp-link describe --data file.csv --format table
scomp-link quality --data file.csv --output report.html
# Training
scomp-link run --data file.csv --target col --task regression --save-artifact model.scomp
scomp-link tune --data file.csv --target col --task regression --method optuna --n-trials 50 --save-artifact best.scomp
scomp-link text --data file.csv --text-col msg --target label --method tfidf
scomp-link cluster --data file.csv --n-clusters 5 --plot clusters.html
# Evaluation
scomp-link validate --artifact model.scomp --data test.csv --target col --report report.html
scomp-link explain --artifact model.scomp --data test.csv
scomp-link fairness --data preds.csv --target y_true --predicted y_pred --sensitive gender
# Monitoring
scomp-link drift --reference train.csv --current prod.csv --plot drift.html
scomp-link monitor --reference train.csv --current prod.csv --artifact model.scomp --target y
scomp-link anomaly --data prod.csv --methods iforest,lof,tabnet,transformer
# Deployment
scomp-link serve --artifact model.scomp --port 8080
scomp-link export --artifact model.scomp --format onnx
scomp-link pipeline --config pipeline.yaml
# Utilities
scomp-link predict --artifact model.scomp --data new.csv --output predictions.csv
scomp-link compare --artifacts v1.scomp v2.scomp --plot compare.html
scomp-link report --data file.csv --output eda.html
scomp-link forecast --data series.csv --column value --horizon 30 --plot forecast.html
scomp-link engineer --data file.csv --target col --interactions --log-transform --output features.csv
scomp-link init my_project
scomp-link list-models
scomp-link check-deps
# LLM
scomp-link llm evaluate --generated text.txt --references ref.txt
scomp-link llm dedup --data corpus.txt --method ngram --threshold 0.8
scomp-link llm merge --base base_model --models model1,model2 --method ties
scomp-link llm serve --model ./merged --port 8080
# Configuration
scomp-link init-config # Create global config (~/.scomp-link/config.yaml)
scomp-link init-config --local # Create project-level config (.scomp-link.yaml)
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.
- 1mo ago Changed · +7 lines · +105 tokens per session 6321635c37b9
- 1mo ago First seen · 174 lines · 1,741 tokens per session scan A f5923bc6ccfd
scomp_link AGENTS.md is an instructions file published in the GitHub repository GiacomoSaccaggi/scomp_link (14 stars, last pushed 5d ago), licensed MIT. It adds 1,846 tokens to every session, about $0.0074 per session on Opus 5.5. 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.