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 woodfishhhh/EZ_math_model --skill outline-agentgit clone --depth 1 https://github.com/woodfishhhh/EZ_math_modelWrote 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/woodfishhhh/ez_math_model/outline-agent)<a href="https://agentmods.dev/skills/woodfishhhh/ez_math_model/outline-agent"><img src="https://agentmods.dev/badge/skills/woodfishhhh/ez_math_model/outline-agent/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/woodfishhhh/ez_math_model/outline-agent"><img src="https://agentmods.dev/badge/skills/woodfishhhh/ez_math_model/outline-agent.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 | $0.00099 | $0.01364 |
| Opus 5 | $0.00049 | $0.00682 |
| Sonnet 5 | $0.00020 | $0.00273 |
| Haiku 4.5 | $0.00010 | $0.00136 |
Grade A, and why
outline-agent 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 9d 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.
This is a copy
100% identical to outline-agent — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Outline Agent (Step 1)
Faithful implementation of the Outline Agent from PaperOrchestra (Song et al., 2026, arXiv:2604.05018, App. F.1, pp. 40–44).
Cost: 1 LLM call.
Your task
Read four input files from the workspace and produce a single JSON object at
workspace/outline.json with three top-level keys:
plotting_plan— array of figure objectsintro_related_work_plan— object withintroduction_strategyandrelated_work_strategysection_plan— array of section objects, each withsection_titleandsubsections[]
How to do it
- Read the verbatim prompt at
references/prompt.md. This is the exact Outline Agent system prompt from the paper. Use it as your system message. - Prepend the Anti-Leakage Prompt from
../paper-orchestra/references/anti-leakage-prompt.md. - Read the four input files:
workspace/inputs/idea.mdworkspace/inputs/experimental_log.mdworkspace/inputs/template.texworkspace/inputs/conference_guidelines.md
- Synthesize across all four — the global instruction in the prompt is "Do not analyze inputs in isolation. You must synthesize information across all provided documents for every step."
- Emit a single JSON object following the schema in
references/outline-schema.md. Cross-check againstreferences/outline_schema.json(machine-readable). - Save to
workspace/outline.json. - Validate:
If validation fails, fix the JSON and re-validate. Do not proceed to Step 2 or Step 3 with an invalid outline — every downstream agent depends on this schema.python skills/outline-agent/scripts/validate_outline.py workspace/outline.json
Hard rules from the prompt (do not violate)
These are excerpted from references/prompt.md. The validator enforces them.
Plotting plan (Directive 1)
plot_typeMUST be exactly one of"plot"or"diagram".data_sourceMUST be exactly one of"idea.md","experimental_log.md", or"both".aspect_ratioMUST be exactly one of:"1:1","1:4","2:3","3:2","3:4","4:1","4:3","4:5","5:4","9:16","16:9","21:9".figure_idMUST be a semantically meaningful snake_case identifier (e.g.,fig_framework_overview,fig_ablation_study_parameter_sensitivity).figure_idMUST NOT contain the word"Figure".
What ships with it
6 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.
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.
- 9d ago First seen · 114 lines · 99 tokens per session scan A 685512f9d7d6
outline-agent is a skill published in the GitHub repository woodfishhhh/EZ_math_model (41 stars, last pushed 1mo ago), licensed MIT. It adds 99 tokens to every session and 1,364 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to outline-agent, differing in 0 lines, and is treated as a copy.
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