sport-geography-review-bibliometric

sport-geography-review-bibliometric is a skill for Codex from Lzy599775/agent-auto-sci-skills. It costs 137 tokens per session (1,353 once invoked), scanned A, original, MIT.

A workflow for reviewing research about sports, geography, cities and health. Bibliometrics means measuring patterns in a set of research papers, such as topics, authors and citations.

In plain words
What is it for?
Use it for systematic, scoping or critical reviews and bibliometric papers about sports facilities, parks, green space, heat, accessibility, health or environmental justice.
Why use it?
It helps turn a broad topic and paper collection into a structured review with clear concepts, reproducible searches and attention to access and spatial fairness.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it for systematic, scoping or critical reviews and bibliometric papers about sports facilities, parks, green space, heat, accessibility, health or environmental justice.

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Install with agentmods
npx agentmods add skills/lzy599775/agent-auto-sci-skills/sport-geography-review-bibliometric
Install

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.

Any agent
npx skills add Lzy599775/agent-auto-sci-skills --skill sport-geography-review-bibliometric
Clone the repo
git clone --depth 1 https://github.com/Lzy599775/agent-auto-sci-skills

Made for: Codex.

Wrote 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.

agentmods badge for sport-geography-review-bibliometric

README.md
[![agentmods](https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/sport-geography-review-bibliometric/github.svg)](https://agentmods.dev/skills/lzy599775/agent-auto-sci-skills/sport-geography-review-bibliometric)
Your own site
<a href="https://agentmods.dev/skills/lzy599775/agent-auto-sci-skills/sport-geography-review-bibliometric"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/sport-geography-review-bibliometric/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/lzy599775/agent-auto-sci-skills/sport-geography-review-bibliometric"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/sport-geography-review-bibliometric.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 137 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,353 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00137 $0.01353
Opus 5 $0.00068 $0.00677
Sonnet 5 $0.00027 $0.00271
Haiku 4.5 $0.00014 $0.00135

Measured 12d ago against content hash 04b5e2697fcc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

sport-geography-review-bibliometric 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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/audit_review_library.py, scripts/create_review_templates.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/sport-geography-review-bibliometric/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sport Geography Review Bibliometric

This skill supports systematic reviews, scoping reviews, critical reviews, and bibliometric/scientometric manuscripts in sport geography and urban health geography. It is designed for work that combines sports facilities, parks, green/heat exposure, accessibility, equity, spatial justice, and planning implications.

Use it to move from a broad topic and paper corpus to a journal-positioned review manuscript with reproducible search logic, defensible coding, meaningful bibliometric maps, and a policy agenda.

Core Contract

Do not treat bibliometrics as the contribution. The contribution must be one of:

  • a clarified concept boundary;
  • a systematic evidence map;
  • a method evolution framework;
  • a justice/equity coding framework;
  • a journal-fit planning or policy agenda;
  • a combined review + bibliometric route that explains why the field matters.

Default argument chain:

public health and active living pressure -> unequal spatial opportunity -> exposure/accessibility measurement gap -> evidence synthesis -> method and justice framework -> planning agenda

Fast Workflow

  1. Position the manuscript

    • Decide whether the paper is a systematic review, scoping review, bibliometric review, or hybrid review.
    • Choose one target route: SCS/Cities, landscape-green-space journals, health-exposure journals, or broader geography/planning journals.
    • Read references/00_skill_design_principles.md when updating the skill itself.
    • Read references/01_positioning_and_journal_route.md.
  2. Define scope and search logic

    • Separate object terms, exposure/accessibility terms, equity/justice terms, health/activity terms, and exclusions.
    • Use WoS + Scopus by default for bibliometrics; add PubMed/SPORTDiscus/Dimensions only when the research question needs health or sport coverage.
    • Read references/02_search_prisma_protocol.md.
  3. Build the evidence corpus

    • Document search date, database, query, filters, de-duplication, and screening reasons.
    • Keep OA/non-OA status, DOI, journal, partition label, and manual-download status separate from inclusion decisions.
    • Use assets/PRISMA筛选记录模板.xlsx and assets/文献批判性编码模板.xlsx.

Read the full file on GitHub · 98 lines

Changes

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.

  1. 12d ago First seen · 98 lines · 137 tokens per session scan A 04b5e2697fcc

Subscribe to this mod's changes

sport-geography-review-bibliometric is a skill published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed 6d ago), licensed MIT. It adds 137 tokens to every session and 1,353 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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