grant-thinking-cn-biology

grant-thinking-cn-biology is a skill for Claude Code, Codex from Agents365-ai/365-skills. It costs 58 tokens per session (3,108 once invoked), scanned A, original, no licence file.

A guide for developing biology grant proposals for Chinese funding programmes such as NSFC and MOST. It examines the scientific mechanism, novelty, feasibility, scope, and fit for different grant levels.

In plain words
What is it for?
It is for assessing biology grant ideas, defining mechanism-focused questions, controlling project scope, and preparing youth, general, or key grant proposals.
Why use it?
It helps prevent biology proposals from becoming too broad, weakly justified, or mismatched to the expectations of Chinese reviewers. It also helps distinguish a real research question from a list of experiments.

Skill for Claude CodeCodex

Written for Claude Code and Codex: disable-model-invocation in frontmatter, but also agents/openai.yaml present.

Good fit It is for assessing biology grant ideas, defining mechanism-focused questions, controlling project scope, and preparing youth, general, or key grant proposals.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agents365-ai/365-skills/grant-thinking-cn-biology
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 Agents365-ai/365-skills --skill grant-thinking-cn-biology
Clone the repo
git clone --depth 1 https://github.com/Agents365-ai/365-skills

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin grant-thinking-cn-biology — /plugin install grant-thinking-cn-biology after adding the marketplace above.

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 grant-thinking-cn-biology

README.md
[![agentmods](https://agentmods.dev/badge/skills/agents365-ai/365-skills/grant-thinking-cn-biology/github.svg)](https://agentmods.dev/skills/agents365-ai/365-skills/grant-thinking-cn-biology)
Your own site
<a href="https://agentmods.dev/skills/agents365-ai/365-skills/grant-thinking-cn-biology"><img src="https://agentmods.dev/badge/skills/agents365-ai/365-skills/grant-thinking-cn-biology/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.

agentmods 80×15 button for grant-thinking-cn-biology

Your own site · 80×15
<a href="https://agentmods.dev/skills/agents365-ai/365-skills/grant-thinking-cn-biology"><img src="https://agentmods.dev/badge/skills/agents365-ai/365-skills/grant-thinking-cn-biology.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,108 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 unknown 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 $0.00058 $0.03108
Opus 5.5 $0.00023 $0.01243
Sonnet 5.5 $0.00012 $0.00622
Haiku 4.5 $0.00006 $0.00311

Measured 1mo ago against content hash bd8adbb2b6a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

grant-thinking-cn-biology 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 1mo 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.

plugins/grant-thinking-cn-biology/skills/grant-thinking-cn-biology/SKILL.md · 427 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

3 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.

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. 1mo ago Changed · +1 lines bd8adbb2b6a3
  2. 1mo ago First seen · 426 lines · 58 tokens per session scan A 14524a6f686f

Subscribe to this mod's changes

grant-thinking-cn-biology is a skill published in the GitHub repository Agents365-ai/365-skills (100 stars, last pushed 4d ago), with no licence file. It adds 58 tokens to every session and 3,108 once invoked, about $0.0002 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 2026-09-11.

Related

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