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 James-Traina/compound-science --skill publication-outputgit clone --depth 1 https://github.com/James-Traina/compound-scienceWrote 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/james-traina/compound-science/publication-output)<a href="https://agentmods.dev/skills/james-traina/compound-science/publication-output"><img src="https://agentmods.dev/badge/skills/james-traina/compound-science/publication-output.svg" alt="Measured on agentmods" 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 | $0.00103 | $0.01920 |
| Opus 5 | $0.00051 | $0.00960 |
| Sonnet 5 | $0.00021 | $0.00384 |
| Haiku 4.5 | $0.00010 | $0.00192 |
Grade A, and why
publication-output 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 8d 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Publication Output
Generate publication-quality tables and figures for academic research papers. Routes to the appropriate output type based on content, applies standard academic formatting conventions, and produces files ready for LaTeX inclusion.
When to Use
Skip when:
- The task is choosing an empirical method or running estimation (use
empirical-playbookorcausal-inferenceskill) - The task is journal submission logistics or referee responses (use
submission-guideskill) - Results are exploratory and not yet ready for formatted output (finish estimation first)
Use when:
- After estimation: format regression results, diagnostics, or robustness checks into tables
- After simulation: format Monte Carlo results (bias, RMSE, coverage) into comparison tables
- For descriptive work: summary statistics, balance tables, transition matrices
- For visualization: event studies, RD plots, coefficient plots, power curves, densities, specification curves
Output Type Router
| Content type | Output | Reference |
|---|---|---|
| Regression results (coefficients, SEs, R², N) | Stargazer-style coefficient table | references/table-generation.md |
| Summary statistics (means, SDs, quantiles) | Descriptive statistics panel | references/table-generation.md |
| Monte Carlo output (bias, RMSE, coverage) | Simulation results table | references/table-generation.md |
| Balance / covariate comparison | Balance table with normalized differences | references/table-generation.md |
| Transition probabilities | Matrix with row/column labels | references/table-generation.md |
| First-stage IV results | First-stage regression table | references/table-generation.md |
| Time-relative coefficients (leads/lags) | Event study plot | references/figure-generation.md |
| Running variable + cutoff | RD plot with local polynomial | references/figure-generation.md |
| Multiple estimates with CIs | Coefficient comparison plot | references/figure-generation.md |
| Sample sizes × effect sizes | Power curve | references/figure-generation.md |
| Group distributions | Density / kernel density plot | references/figure-generation.md |
| Two continuous variables | Binned scatter plot | references/figure-generation.md |
| Sorted estimates + indicator matrix | Specification curve | references/figure-generation.md |
What ships with it
2 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.
- 8d ago First seen · 160 lines · 103 tokens per session scan A 7625a0d2a1b0
publication-output is a skill published in the GitHub repository James-Traina/compound-science (13 stars, last pushed 5mo ago), licensed MIT. It adds 103 tokens to every session and 1,920 once invoked, about $0.0005 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 2026-08-30.
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