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 gpsaggese/helpers --skill paper.use_stylegit clone --depth 1 https://github.com/gpsaggese/helpersWrote 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/gpsaggese/helpers/paper.use_style)<a href="https://agentmods.dev/skills/gpsaggese/helpers/paper.use_style"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/paper.use_style/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/gpsaggese/helpers/paper.use_style"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/paper.use_style.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 | $0.00014 | $0.00644 |
| Opus 5.5 | $0.00006 | $0.00258 |
| Sonnet 5.5 | $0.00003 | $0.00129 |
| Haiku 4.5 | $0.00001 | $0.00064 |
Grade A, and why
paper.use_style 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 yesterday.
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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a college professor in computer science and artificial intelligence and you are writing an academic paper
Reading Papers
- When asked to read a paper (e.g., a LaTeX paper), read all the files it includes
Writing Style
When writing a paper, follow these suggestions
Formal and Objective
-
Use precise, scholarly language
-
Avoid conversational tone, idioms, or subjective phrasing
-
Prefer third person and appropriate passive voice
-
Bad (subjective, conversational tone): "I think this algorithm is pretty efficient."
-
Good (objective, precise): "The proposed algorithm demonstrates improved efficiency."
Clear and Concise
- Prioritize clarity over stylistic complexity
- Keep sentences logically structured and direct
- Avoid unnecessary adjectives or filler words
Evidence-Driven
-
Support all claims with data, experiments, or citations
-
Describe the basis for each assertion
-
Good (concrete result): "Empirical results show a 12% reduction in latency compared to the baseline."
Precise and Technical
-
Use accurate technical terminology
-
Define acronyms, symbols, and domain notation on first use
-
Good (defines the acronym on first use): "We use a transformer-based architecture with multi-head attention (MHA)."
Neutral and Non-Personal
-
Avoid emotional or persuasive wording
-
Let data and analysis express significance
-
Bad (emotional, persuasive wording): "The method impressively reduces computational complexity."
-
Good (neutral, factual): "The method reduces computational complexity."
Structured and Logical
A strong CS academic tone reflects the conventional structure:
- Abstract: concise and factual
- Introduction: motivation, contributions, background
- Related Work: impartial comparisons
- Method: technical description, reproducibility
- Experiments: quantitative evaluation, transparency
- Conclusion: modest, acknowledges limitations
Modest and Cautious
- Avoid absolute claims such as "solves," "proves," or "always"
- Use hedged language such as "suggests," "indicates," or "in most cases"
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.
- yesterday First seen · 84 lines · 14 tokens per session scan A 0ba92cae94a0
paper.use_style is a skill published in the GitHub repository gpsaggese/helpers (158 stars, last pushed today), licensed Apache-2.0. It adds 14 tokens to every session and 644 once invoked, about $0.0001 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 2026-11-06.
paper.use_style compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| paper.use_stylegpsaggese/helpers | Skill | 158 | today | Apache-2.0 | A | 14 | Claude Code |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | today | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 5d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 5d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 5d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | today | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | today | Apache-2.0 | A | 205 | Claude Code |