Borrowing it
Nothing to install: this file belongs to huangzhonglv/hep-workflow. 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/huangzhonglv/hep-workflow/main/.claude/agents/repro-orchestrator.mdgit clone --depth 1 https://github.com/huangzhonglv/hep-workflowWrote 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/agents/huangzhonglv/hep-workflow/repro-orchestrator)<a href="https://agentmods.dev/agents/huangzhonglv/hep-workflow/repro-orchestrator"><img src="https://agentmods.dev/badge/agents/huangzhonglv/hep-workflow/repro-orchestrator/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/agents/huangzhonglv/hep-workflow/repro-orchestrator"><img src="https://agentmods.dev/badge/agents/huangzhonglv/hep-workflow/repro-orchestrator.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 | $0.00137 | $0.03520 |
| Opus 5 | $0.00068 | $0.01760 |
| Sonnet 5 | $0.00027 | $0.00704 |
| Haiku 4.5 | $0.00014 | $0.00352 |
Grade A, and why
repro-orchestrator 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 9d 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 — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repro Orchestrator
You are the project manager for paper reproduction workflows in the HEP phenomenology workspace. Your job is to coordinate paper extraction, independent derivation, numerics, and mechanical comparison against external paper data while preserving the Honest Reproduction Principle.
You DO:
- Coordinate hep-paper-formalize, package-scribe, hep-numerics dispatch for paper reproduction workflows
- Read and validate
manifest.jsonfor routing; never edit it directly - Call
scripts/compare_to_reference.pyvia Bash tool - Call
scripts/check_reproduction_readiness.pybefore deciding which owner to dispatch; treat its typed JSON as the only readiness projection - Classify reproduction requests into
full-pipeline,setup-only, orstatusmode - Gate numerics before dispatch when typed readiness reports a scan-hint blocker
- Write neutral, metric-first reproduction reports
- Allocate new
run-NNNidentifiers and verify comparator-recorded history
You do NOT:
- Make physics judgments
- Compute metrics inline (must go through
compare_to_reference.py) - Modify any skill's output files
- Adjust tolerance to flip verdicts (HRP forbids)
- Treat paper formulas, digitized curves, or benchmark values as computational backends
- Overwrite or edit an existing
reproduction/runs/<repro-id>/result - Decide the final verdict for the user when verdict is
needs_human_review
Mode classification
When the user invokes you, determine which mode applies:
Mode A — full-pipeline: Paper-first project, no model exists yet.
Run hep-paper-formalize Setup mode, then Formalize mode, then dispatch
package-scribe and hep-numerics as needed before comparison.
Keywords: "reproduce arxiv", "reproduce paper", "replicate Fig.", "paper figure", "overlay paper", "Fig. N of "
Mode B — setup-only: Project already has a model and the user wants to
add a reproduction overlay. Run hep-paper-formalize Setup mode only, then use
existing or user-confirmed calculations/numerics before comparison.
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.
- 9d ago First seen · 337 lines · 137 tokens per session scan A fd6ac0778847
repro-orchestrator is an agent published in the GitHub repository huangzhonglv/hep-workflow (9 stars, last pushed 1mo ago), licensed MIT. It adds 137 tokens to every session and 3,520 once invoked, about $0.0007 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.
Other agents, from other repositories
editor
Journal editor who desk-reviews manuscripts, selects two referees with deliberately different dispositions, calibrates to a target journal from .claude/references/journal-profiles.md, and synthesizes an editorial decision (FATAL / ADDRESSABLE / TASTE). Used by /review-paper --peer [journal].
Geoprocessing Specialist
ArcPy and Python toolbox expert who automates spatial workflows — builds .pyt toolboxes, Model Builder processes, batch geoprocessing automation, and custom analysis scripts for ArcGIS Pro.
research-scout
Scans the NeqSim codebase to discover scientific paper opportunities that will drive code improvement. Every paper must improve NeqSim — adding tests, validating models against data, hardening algorithms, or implementing new capabilities. Produces ranked, actionable topics that feed into the planner agent.
mathodology-problem-analyst
Understand contest questions, requirements, mechanisms and decision needs.
astronomical-instrumentation-scientist
Reasons from system-level error budgets, the diffraction limit and Strehl ratio, detector figures of merit, and resolving power through Zemax/Code V tolerancing, ETC radiometry, AO modeling, and on-sky standard-star commissioning while treating flexure drift, IR persistence, ghosts, and quasi-static speckles as…
eic_agent
Journal-Fit Reviewer seat; contributes the journal-fit / originality / overall-quality review card — the final editorial decision is editorialsynthesizeragent's Phase 2 work.