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 Lzy599775/agent-auto-sci-skills --skill agent-auto-sci-scicommgit clone --depth 1 https://github.com/Lzy599775/agent-auto-sci-skillsWrote 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/lzy599775/agent-auto-sci-skills/agent-auto-sci-scicomm)<a href="https://agentmods.dev/skills/lzy599775/agent-auto-sci-skills/agent-auto-sci-scicomm"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/agent-auto-sci-scicomm/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/lzy599775/agent-auto-sci-skills/agent-auto-sci-scicomm"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/agent-auto-sci-scicomm.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 | $0.00105 | $0.00482 |
| Opus 5 | $0.00053 | $0.00241 |
| Sonnet 5 | $0.00021 | $0.00096 |
| Haiku 4.5 | $0.00011 | $0.00048 |
Grade A, and why
agent-auto-sci-scicomm 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 10d 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.
What it actually says
Agent Auto Sci Scientific Communication
Use this subskill when the output is a manuscript, response, slide deck, poster, abstract, or research narrative.
Fast Workflow
- Define target audience and venue.
- Build a claim-evidence map before drafting.
- Choose structure: empirical IMRAD, systematic review, scoping review, bibliometric review, policy agenda, or presentation.
- Draft in paragraphs, not bullet lists, unless preparing an outline.
- Check every claim against evidence.
- Translate methods and results into field value.
- Run reviewer-risk and citation checks.
Read references/scientific_communication_workflows.md.
For full paper projects, this skill owns title, abstract, highlights, IMRAD structure, paragraph logic, figure-text narrative, journal matching, cover letter, reference/citation checks, response-to-reviewers, and final submission readiness. Use sport-geography-sci-writing for field-specific empirical manuscript logic.
For deeper K-Dense-style encapsulation:
references/k_dense_scicomm_mapping.md: how scientific writing, peer review, slides, schematics, and citation-management skills are adapted.references/sport_geography_communication_playbook.md: Cities/SCS/Nature-family style positioning, claim-evidence maps, rebuttal, and presentation routes.
Related Helper Skills
scientific-writingpeer-reviewscientific-slidesscientific-schematicscitation-managementsport-geography-sci-writingsport-geography-review-bibliometric
Must Not Do
- Do not let text polish hide weak evidence.
- Do not invent citations or journal requirements.
- Do not make policy claims without mechanism and evidence boundary.
- Do not write final manuscripts as bullets.
What ships with it
4 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.
- 10d ago First seen · 46 lines · 105 tokens per session scan A 3c40cb008839
agent-auto-sci-scicomm is a skill published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed 4d ago), licensed MIT. It adds 105 tokens to every session and 482 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 2026-08-31.
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