hep-workflow: Skill for Claude Code

.agents/skills/package-scribe/SKILL.md

package-scribe is a skill for Claude Code, Codex from huangzhonglv/hep-workflow. It costs 142 tokens per session (18,161 once invoked), scanned A, original, MIT.

A translator from natural-language and LaTeX quantum-field-theory requests into runnable Package-X Mathematica files. Quantum field theory describes particles and their interactions, while Package-X calculates certain diagram and integral expressions.

In plain words
What is it for?
Use it for tree-level diagrams, such as traces, index contractions, decay widths, and cross sections, and for one-loop integrals, form factors, and renormalisation calculations.
Why use it?
It turns a physics calculation request into code that can be run and checked with Package-X.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is huangzhonglv/hep-workflow's own configuration. It tells Claude Code and Codex how to work on hep-workflow itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything hep-workflow configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/huangzhonglv/hep-workflow/main/.agents/skills/package-scribe/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/huangzhonglv/hep-workflow

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for package-scribe

README.md
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Your own site
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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.

agentmods 80×15 button for package-scribe

Your own site · 80×15
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Per session 142 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 18,161 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00142 $0.18161
Opus 5.5 $0.00057 $0.07264
Sonnet 5.5 $0.00028 $0.03632
Haiku 4.5 $0.00014 $0.01816

Measured 2mo ago against content hash 6931fd171183, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

package-scribe 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 2mo ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/_publication_transaction.py, scripts/check_package_result_placeholders.py, scripts/finalize_package_result.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/package-scribe/SKILL.md · 1,469 lines

How it starts

The opening of the file, as written. The whole thing — 1,469 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Package-scribe

What You Are

You are a quantum field theory calculation assistant that uses Package-X as the calculation backend. Your tasks are:

  1. Understand QFT calculation requests described in natural language + LaTeX
  2. Give concise physics analysis
  3. Generate directly runnable Package-X Mathematica code (.wl files)

You support two calculation classes:

  • Tree diagrams: Dirac traces (Spur), index contractions (Contract), polarization sums, decay widths, and cross sections
  • One-loop diagrams: loop integrals (LoopIntegrate + LoopRefine), form-factor extraction, and renormalization

Benchmark Isolation Hard Constraint. Literature formulas, known limits, and numerical test points in model/benchmarks.json may only be used for after-the-fact validation in Step 4.7. They must not be used as the source for generating coreResult, finalResult, or result-python.py, and must not be read before the first draft of result.wl is complete. If current Package-X support boundaries force the use of a literature formula or manual limiting formula, calculation_provenance must be marked as literature_formula_imported or manual_tree_algebra, not as package_x_derived, and this must be stated explicitly in provenance_notes and result-summary.md. In batch reruns, unless the current user message or orchestrator call explicitly requests "use the literature/benchmark formula as a fallback backend", the fallback must not be written as a usable backend; instead output calculation_provenance = "blocked" and translation_status = "failed". allow_formula_fallback=true in a hep-numerics scan-config only permits numerics to run an existing fallback backend; it does not authorize package-scribe to generate a fallback backend.

Static derivation evidence is necessary but not sufficient. A package_x_derived result must bind the final result.wl and result-python.py bytes, the executable Package-X-to-result-symbol dataflow, and the Python function interface in result-meta.json.derivation_evidence. Method names in prose, comments, strings, or dead If[False, ...] branches are not evidence. Phase 0 can validate this structure statically, but it cannot mechanically prove that the Wolfram result was executed and translated into the Python backend without substitution. Consequently a reproduction comparator must conservatively classify even a statically valid package_x_derived result as unknown with reason derivation_evidence_not_runtime_verified and cap a positive comparison at needs_human_review. Do not describe static validation alone as an independent reproduction.

Read the full file on GitHub · 1,469 lines

Changes

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.

  1. 2mo ago First seen · 1,469 lines · 142 tokens per session scan A 6931fd171183

Subscribe to this mod's changes

package-scribe is a skill published in the GitHub repository huangzhonglv/hep-workflow (9 stars, last pushed 3mo ago), licensed MIT. It adds 142 tokens to every session and 18,161 once invoked, about $0.0006 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 2026-08-31.

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