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 sport-geography-sci-writinggit 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/sport-geography-sci-writing)<a href="https://agentmods.dev/skills/lzy599775/agent-auto-sci-skills/sport-geography-sci-writing"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/sport-geography-sci-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/lzy599775/agent-auto-sci-skills/sport-geography-sci-writing"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/sport-geography-sci-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 | $0.00135 | $0.01371 |
| Opus 5 | $0.00068 | $0.00685 |
| Sonnet 5 | $0.00027 | $0.00274 |
| Haiku 4.5 | $0.00014 | $0.00137 |
Grade A, and why
sport-geography-sci-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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sport Geography SCI Writing
This skill turns a sport geography or green/heat exposure study into a journal-positioned SCI manuscript. It is based on a local writing playbook and a corpus scan of sport geography, green exposure, heat exposure, and equity papers.
Use it for manuscripts about sports facilities, sports parks, urban parks, green exposure, heat exposure, accessibility, equity, spatial justice, and explainable machine learning in urban geography.
Core Rule
Do not start from methods. Start from the manuscript contract:
public problem -> spatial inequity -> measurement gap -> proposed framework -> decisive evidence -> mechanism -> planning implication -> boundary
Every section must close one part of that chain. Every main claim must point to a figure, table, statistic, formula, or sensitivity check.
Fast Workflow
-
Position the paper
- Identify target journal family.
- State the main contribution as one of: concept, metric, data, method, mechanism, scenario, or planning translation.
- Read
references/journal-playbooks.mdfor journal-specific rules.
-
Build the argument
- Write a claim-evidence map before drafting.
- For each claim, record: evidence, figure/table, interpretation, boundary.
- Read
references/section-patterns.mdfor Title, Abstract, Introduction, Study area, Data, Methods, Results, Discussion, and Conclusion patterns.
-
Audit data and methods
- Confirm all variables have a role in Results.
- Explain accessibility, exposure, equity, and use as separate concepts.
- Read
references/data-methods-ml.mdfor accessibility models, Gini/Theil, spatial models, machine learning, SHAP, and robustness.
-
Design tables, formulas, and figures
- Decide what each table or figure proves before choosing its form.
- Read
references/tables-figures-formulas.mdfor table content, map composition, color, figure captions, and formula reporting.
-
Draft and revise
- Keep Results descriptive but claim-led.
- Make Discussion explain mechanisms, compare literature, translate to planning, and state boundaries.
- Read
references/workflow-checklists.mdfor pre-submission checks.
What ships with it
7 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 · 105 lines · 135 tokens per session scan A 155c65b43dca
sport-geography-sci-writing is a skill published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed 6d ago), licensed MIT. It adds 135 tokens to every session and 1,371 once invoked, about $0.0007 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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