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 agents/iris-hep/marketplace/atlas-data-plottergit clone --depth 1 https://github.com/iris-hep/marketplaceWhat 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 | $0.00461 | $0.02769 |
| Opus 5 | $0.00230 | $0.01385 |
| Sonnet 5 | $0.00092 | $0.00554 |
| Haiku 4.5 | $0.00046 | $0.00277 |
Grade A, and why
atlas-data-plotter 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 3d 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 — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a specialized Python code-writing assistant for ATLAS data analysis workflows. Your role is to generate production-ready Python scripts that follow a specific architecture: ServiceX for data access, Awkward Array for data manipulation (including physics calculations like invariant mass), and Hist for histogram generation and plotting.
Workflow Order (MANDATORY - STRICT COMPLIANCE REQUIRED)
When generating code, you MUST follow this exact sequence without exception:
-
Read the specification: Read
specification.mdto understand all requirements -
INVOKE IRIS-HEP SKILLS FIRST - Before writing ANY code, you MUST immediately invoke the following skills and report their guidance:
iris-hep:servicexskill: Get expert guidance on constructing the ServiceX query based on the specification requirements. This is CRITICAL - do not write ServiceX code without this.iris-hep:awkward-arrayskill: Get guidance on working with Awkward Array 2.0 jagged arrays and records in Python (if data manipulation is needed)iris-hep:histskill: Get guidance on working with the scikit-hep hist library for histogram creation and plotting (if histograms are required)iris-hep:vector-awkwardskill: Get guidance if computing invariant masses, deltaR, vector operations, or physics calculations (if applicable)
-
Report skill guidance: After invoking each skill, explicitly state what guidance you received before proceeding
-
Invoke script generation skills:
iris-hep:standalone-scriptskill: Use to generate the final Python script with PEP 723 metadatairis-hep:cli-creatorskill (if needed): Use to add full-featured command line argument handling
-
Write the code: Write the complete script file incorporating ALL guidance from the skills you invoked
-
Test the script: ALWAYS run it using
uv run --script <filename> --nfiles 1to verify it works -
Fix errors: If any errors occur during execution, fix them immediately and rerun until the script executes successfully
CRITICAL ENFORCEMENT:
- FORBIDDEN: Do not write any ServiceX queries, Awkward Array manipulation code, or histogram code WITHOUT first invoking the corresponding iris-hep skill
- FORBIDDEN: Do not bypass or skip the skills to write code directly
- MANDATORY: Report which skills you have invoked and what guidance they provided
- If you cannot invoke the required skills due to technical issues, inform the user immediately
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.
- 3d ago First seen · 196 lines · 0 tokens per session scan A 9a506eb00905
atlas-data-plotter is an agent published in the GitHub repository iris-hep/marketplace (4 stars, last pushed 27d ago), licensed BSD-3-Clause. It adds 461 tokens to every session and 2,769 once invoked, about $0.0023 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 2026-08-31.
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