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 skills add jihe520/MathModelAgent --skill 5writinggit clone --depth 1 https://github.com/jihe520/MathModelAgentWrote 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/jihe520/mathmodelagent/5writing)<a href="https://agentmods.dev/skills/jihe520/mathmodelagent/5writing"><img src="https://agentmods.dev/badge/skills/jihe520/mathmodelagent/5writing/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/jihe520/mathmodelagent/5writing"><img src="https://agentmods.dev/badge/skills/jihe520/mathmodelagent/5writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00068 | $0.03913 |
| Opus 5.5 | $0.00027 | $0.01565 |
| Sonnet 5.5 | $0.00014 | $0.00783 |
| Haiku 4.5 | $0.00007 | $0.00391 |
Grade A, and why
5writing 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 1mo 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
60 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.
- templates/en/apmcm-latex/main.tex 6.6 KB
- templates/en/apmcm-latex/references.tex 532 B
- templates/en/apmcm-latex/sections/1_introduction.tex 635 B
- templates/en/apmcm-latex/sections/2_assumptions.tex 524 B
- templates/en/apmcm-latex/sections/3_model_design.tex 398 B
- templates/en/apmcm-latex/sections/4_solution.tex 826 B
- templates/en/apmcm-latex/sections/5_sensitivity.tex 535 B
- templates/en/apmcm-latex/sections/6_strengths_weaknesses.tex 600 B
- templates/en/apmcm-latex/sections/7_conclusions.tex 535 B
- templates/en/apmcm-latex/sections/A_code.tex 774 B
- templates/en/apmcm/main.typ 13 KB
- templates/en/apmcm/references.typ 522 B
- templates/en/apmcm/sections/1_introduction.typ 601 B
- templates/en/apmcm/sections/2_assumptions.typ 427 B
- templates/en/apmcm/sections/3_model_design.typ 335 B
- templates/en/apmcm/sections/4_solution.typ 859 B
- templates/en/apmcm/sections/5_sensitivity.typ 608 B
- templates/en/apmcm/sections/6_strengths_weaknesses.typ 415 B
- templates/en/apmcm/sections/7_conclusions.typ 443 B
- templates/en/apmcm/sections/A_code.typ 528 B
- templates/en/default-latex/main.tex 3.6 KB
- templates/en/default-latex/references.tex 532 B
- templates/en/default-latex/sections/1_introduction.tex 635 B
- templates/en/default-latex/sections/2_assumptions.tex 523 B
- templates/en/default-latex/sections/3_notations.tex 560 B
- templates/en/default-latex/sections/4_model.tex 826 B
- templates/en/default-latex/sections/5_results.tex 813 B
- templates/en/default-latex/sections/6_sensitivity.tex 535 B
- templates/en/default-latex/sections/7_evaluation.tex 598 B
- templates/en/default-latex/sections/8_conclusions.tex 534 B
- templates/en/default-latex/sections/A_code.tex 774 B
- templates/en/default/main.typ 5.5 KB
- templates/en/default/references.typ 288 B
- templates/en/default/sections/1_introduction.typ 600 B
- templates/en/default/sections/2_assumptions.typ 421 B
- templates/en/default/sections/3_notations.typ 738 B
- templates/en/default/sections/4_model.typ 975 B
- templates/en/default/sections/5_results.typ 917 B
- templates/en/default/sections/6_sensitivity.typ 712 B
- templates/en/default/sections/7_evaluation.typ 408 B
- templates/en/default/sections/8_conclusions.typ 438 B
- templates/en/default/sections/A_code.typ 527 B
- templates/en/mcm-latex/main.tex 4.4 KB
- templates/en/mcm-latex/references.tex 350 B
- templates/en/mcm-latex/sections/1_introduction.tex 635 B
- templates/en/mcm-latex/sections/2_assumptions.tex 523 B
- templates/en/mcm-latex/sections/3_model_design.tex 398 B
- templates/en/mcm-latex/sections/4_solution.tex 826 B
- templates/en/mcm-latex/sections/5_sensitivity.tex 441 B
- templates/en/mcm-latex/sections/6_strengths_weaknesses.tex 640 B
- templates/en/mcm-latex/sections/7_conclusions.tex 613 B
- templates/en/mcm-latex/sections/A_code.tex 774 B
- templates/en/mcm/main.typ 7.2 KB
- templates/en/mcm/references.typ 56 B
- templates/en/mcm/sections/1_introduction.typ 600 B
- templates/en/mcm/sections/2_assumptions.typ 421 B
- templates/en/mcm/sections/3_model_design.typ 332 B
- templates/en/mcm/sections/4_solution.typ 962 B
- templates/en/mcm/sections/5_sensitivity.typ 714 B
- templates/en/mcm/sections/6_strengths_weaknesses.typ 408 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.
- 1mo ago First seen · 419 lines · 68 tokens per session scan A 9dd985cf54d9
5writing is a skill published in the GitHub repository jihe520/MathModelAgent (6,210 stars, last pushed 13d ago), with no licence file. It adds 68 tokens to every session and 3,913 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
meta-paper-write
Use this meta-skill instead of answering directly when the current user asks to draft or produce a new academic/research paper or LaTeX manuscript. It uses multi-skill orchestration for manuscript workflows that need source search, citation planning, experiment or figure/table placeholders, drafting, length checks…
clinical-reports
Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation…
imaging-data-commons
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.
paper-revision-author
Revise independently drafted paper sections into one coherent LaTeX body before the abstract is written.
clinical-decision-support
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading…
clinical-imaging
Clinical and physiological imaging analysis. Diffusion MRI ADC maps, micro-CT bone morphometry, hemodynamic parameter analysis, circadian rhythm cosinor analysis, ciliary beat frequency (FFT), and tissue deformation optical flow. For DICOM file handling use pydicom; for biosignals use neurokit2.