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/hep-numerics/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/hep-numerics)<a href="https://agentmods.dev/skills/huangzhonglv/hep-workflow/hep-numerics"><img src="https://agentmods.dev/badge/skills/huangzhonglv/hep-workflow/hep-numerics/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/hep-numerics"><img src="https://agentmods.dev/badge/skills/huangzhonglv/hep-workflow/hep-numerics.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 | $0.00082 | $0.04745 |
| Opus 5 | $0.00041 | $0.02372 |
| Sonnet 5 | $0.00016 | $0.00949 |
| Haiku 4.5 | $0.00008 | $0.00475 |
Grade A, and why
hep-numerics 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 10d 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 — 437 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HEP Numerics
Use this skill as the numeric execution layer for a structured HEP workspace. It routes validated model, calculation, and constraint artifacts into scans, constraint decisions, figures, summaries, and manifest updates.
1. Skill Responsibilities And Boundaries
- Responsible: read existing workspace artifacts, validate scan-configs, run numeric scans, evaluate constraints, make figures, write summaries, and update numerics manifest entries.
- Responsible: preserve reproducibility through
scan.csv,scan.meta.json, deterministic figure names, and manifest history. - Responsible: distinguish hard failures from skipped evaluations and skipped figures without publishing an incomplete scan as a successful result.
- Not responsible: inventing physics, changing model assumptions, changing experimental data, or deciding whether a model is publishable.
- Not responsible: symbolic derivations, Feynman rules, loop reductions, or Package-X work.
- Not responsible: silently editing
model/,constraints/, orcalculations/to make a scan pass. - Not responsible: replacing schema, script, or test checks with prose-only judgment.
2. Workspace Inputs And Outputs
Read these workspace inputs when present:
manifest.jsonmodel/model-spec.jsonmodel/calc-tasks.jsonconstraints/constraints-data.jsoncalculations/task-*/result-meta.jsoncalculations/task-*/result-python.pynumerics/scan-configs/{analysis_id}.jsonnumerics/custom_observables.py
Write only these workspace outputs:
numerics/scan-configs/{analysis_id}.jsonnumerics/scan-results/{analysis_id}/scan.csvnumerics/scan-results/{analysis_id}/scan.meta.jsonnumerics/figures/{analysis_id}/*.{pdf,png}numerics/analysis-summary-{analysis_id}.mdmanifest.jsonnumerics artifact entries and allowed history actions
Treat model/, constraints/, and calculations/ inputs as read-only.
3. Mode Classification
Classify the mode before reading or writing numerics outputs.
What ships with it
20 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.
- references/constraint-evaluation.md 10 KB
- references/custom-observables-guide.md 7.6 KB
- references/figure-styles.md 5.8 KB
- references/scan-config-json-contract.md 15 KB
- references/scan-results-contract.md 11 KB
- scripts/_custom_observables.py 5.4 KB runs code
- scripts/_dependency_graph.py 17 KB runs code
- scripts/_identity.py 9.7 KB runs code
- scripts/_manifest.py 32 KB runs code
- scripts/_publication_transaction.py 75 KB runs code
- scripts/_scan_artifact_validation.py 43 KB runs code
- scripts/_strict_json.py 3.4 KB runs code
- scripts/_workflow_dependencies.py 22 KB runs code
- scripts/init_analysis.py 55 KB runs code
- scripts/make_figures.py 48 KB runs code
- scripts/run_scan.py 135 KB runs code
- scripts/validate_scan_config.py 16 KB runs code
- templates/analysis-summary.md.tmpl 848 B
- templates/custom_observables.py.tmpl 1.8 KB
- templates/scan-config.example.json 2.0 KB
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.
- 10d ago First seen · 437 lines · 82 tokens per session scan A 23e09a193a81
hep-numerics is a skill published in the GitHub repository huangzhonglv/hep-workflow (9 stars, last pushed 1mo ago), licensed MIT. It adds 82 tokens to every session and 4,745 once invoked, about $0.0004 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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