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 shikaijieskj/science-skills --skill science-writinggit clone --depth 1 https://github.com/shikaijieskj/science-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/shikaijieskj/science-skills/science-writing)<a href="https://agentmods.dev/skills/shikaijieskj/science-skills/science-writing"><img src="https://agentmods.dev/badge/skills/shikaijieskj/science-skills/science-writing/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/shikaijieskj/science-skills/science-writing"><img src="https://agentmods.dev/badge/skills/shikaijieskj/science-skills/science-writing.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 | $0.00084 | $0.01039 |
| Opus 5 | $0.00042 | $0.00519 |
| Sonnet 5 | $0.00017 | $0.00208 |
| Haiku 4.5 | $0.00008 | $0.00104 |
Grade A, and why
science-writing 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 12d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Science Writing
Use this skill to build manuscript argument before sentence polish. Science-family writing must make a broad reader care, then make a specialist trust the evidence.
Core stance
- Author evidence comes first. Do not invent results, sample sizes, mechanisms, novelty, statistics, references, datasets, code, ethics approvals, or limitations.
- Make the advance legible to a reader outside the narrow subfield.
- Use broad significance only when it is anchored to specific evidence.
- Prefer decisive, bounded claims over inflated novelty.
- If a required input is missing, draft a scaffold with placeholders and flag the gap.
Open extra files
| File | Open when |
|---|---|
| references/article-architecture.md | Need section-level argument order, article-type routing, or full-outline structure |
| references/abstract-introduction-results.md | Drafting or revising abstracts, introductions, Results openings, or Discussion arcs |
| references/science-corpus-observations.md | Need article-sample observations, title patterns, or Science-family style heuristics |
| references/chinese-author-workflow.md | User provides Chinese notes, mixed Chinese-English lab notes, or asks for Chinese explanation |
Intake
Before drafting, identify:
- target journal and article type, if known
- paper type: discovery, mechanism, method, resource, clinical, translational, robotics, materials, computational, policy, or interdisciplinary
- central advance: what is newly shown, built, measured, or explained
- evidence: figures, tables, controls, comparisons, datasets, experiments, statistics
- audience bridge: why a broad Science reader should care
- boundary: where the claim stops
If central advance, evidence, or boundary is absent, expose the gap before writing.
Workflow
- Write a one-sentence argument:
In [system/problem], we show [advance] using [approach], supported by [evidence], with [boundary]. - Choose a section architecture from
references/article-architecture.md. - Build a claim-evidence map before prose:
Claim | Evidence | Figure/table/source | Boundary | Confidence. - Draft from the evidence outward. Keep the strongest result near the central claim.
- Calibrate verbs:
show,demonstrate,reveal,enable,suggest,indicate,may,could. - Remove unsupported "first", "novel", "universal", "transformative", and "paradigm" claims unless the user provided evidence.
- Check that the first paragraph answers: relevance, gap, and why now.
- Return the draft plus assumptions, missing inputs, and the claim-evidence map.
What ships with it
5 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.
- 12d ago First seen · 124 lines · 84 tokens per session scan A 29d3035ee3d5
science-writing is a skill published in the GitHub repository shikaijieskj/science-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 84 tokens to every session and 1,039 once invoked, about $0.0004 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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