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 leventilo/mobius --skill simspec-authorgit clone --depth 1 https://github.com/leventilo/mobiusWrote 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/leventilo/mobius/simspec-author)<a href="https://agentmods.dev/skills/leventilo/mobius/simspec-author"><img src="https://agentmods.dev/badge/skills/leventilo/mobius/simspec-author/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/leventilo/mobius/simspec-author"><img src="https://agentmods.dev/badge/skills/leventilo/mobius/simspec-author.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 | $0.00059 | $0.05582 |
| Opus 5.5 | $0.00024 | $0.02233 |
| Sonnet 5.5 | $0.00012 | $0.01116 |
| Haiku 4.5 | $0.00006 | $0.00558 |
Grade A, and why
simspec-author 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 — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
simspec-author
Purpose and scope
This skill composes a single typed JSON document, the SimSpec, from artifacts produced by three upstream skills. It is the load-bearing handoff point of the Mobius DAG: every downstream agent reads the SimSpec and writes back into it. If the SimSpec is wrong, every primitive, every slider, every narration segment downstream is wrong.
What this skill does NOT do. It does not infer physics from a paper - that is physics-interpreter. It does not generate Python code for primitives - that is primitive-generator. It does not check unit homogeneity, CFL bounds, conservation residuals, or figure-diff - those are the five scripts of science-integrity. It does not invent numerical values that are not present in upstream artifacts. It is a typed-merge skill with explicit ambiguity logging, nothing more. Its place in the DAG is between the three input streams (paper-parser, physics-interpreter, claim-extractor) and the rest of the pipeline (primitive-generator, science-integrity, viz-mapper, paper-diff, narration).
Inputs
The skill expects three upstream artifacts on disk in the current working directory.
paper.json from paper-parser populates the paper.* subtree directly: arxivId, doi, title, authors, abstractHash, figures[]. Each figure carries a caption and a list of extracted_claims produced by Opus 4.7 vision over the figure bitmap.
physics.json from physics-interpreter populates the entire physics.* subtree: governing_equations[] with paired LaTeX and sympy strings, boundary_conditions[], initial_conditions[], constants[] annotated by source (paper, standard, derived), the regime enum, and the named approximations[] array.
claims.json from claim-extractor populates paper.numerical_claims[] and supplements figures[i].extracted_claims. Each claim ships a value, a UCUM unit, the section anchor, the extractor's self-rated confidence, and a verbatim source_quote for traceability.
What ships with it
1 file 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.
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 · 346 lines · 59 tokens per session scan A ca1f2b20d53a
simspec-author is a skill published in the GitHub repository leventilo/mobius (8 stars, last pushed 6mo ago), licensed MIT. It adds 59 tokens to every session and 5,582 once invoked, about $0.0002 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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