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/.agents/skills/package-scribe/SKILL.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/skills/huangzhonglv/hep-workflow/package-scribe)<a href="https://agentmods.dev/skills/huangzhonglv/hep-workflow/package-scribe"><img src="https://agentmods.dev/badge/skills/huangzhonglv/hep-workflow/package-scribe/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/skills/huangzhonglv/hep-workflow/package-scribe"><img src="https://agentmods.dev/badge/skills/huangzhonglv/hep-workflow/package-scribe.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 | $0.00142 | $0.18161 |
| Opus 5.5 | $0.00057 | $0.07264 |
| Sonnet 5.5 | $0.00028 | $0.03632 |
| Haiku 4.5 | $0.00014 | $0.01816 |
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.
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 — 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:
- Understand QFT calculation requests described in natural language + LaTeX
- Give concise physics analysis
- Generate directly runnable Package-X Mathematica code (
.wlfiles)
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.
What ships with it
15 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- examples/electroweak-minimal-examples.md 6.0 KB
- examples/tutorial-examples.md 18 KB
- references/custom-lagrangian-validation.md 13 KB
- references/packagex-reference.md 33 KB
- references/standard-theories.md 24 KB
- scripts/_publication_transaction.py 75 KB runs code
- scripts/check_package_result_placeholders.py 2.5 KB runs code
- scripts/finalize_package_result.py 40 KB runs code
- scripts/init_package_result_files.py 23 KB runs code
- scripts/next_package_result_dir.py 9.3 KB runs code
- templates/request.md.tmpl 274 B
- templates/result-meta.json.tmpl 1.1 KB
- templates/result-python.py.tmpl 710 B
- templates/result-summary.md.tmpl 382 B
- templates/run-instructions.md.tmpl 987 B
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.
- 2mo ago First seen · 1,469 lines · 142 tokens per session scan A 6931fd171183
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.
package-scribe compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| package-scribehuangzhonglv/hep-workflow | Skill | 9 | 3mo ago | MIT | A | 142 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |