网络调研

网络调研 is a skill for Claude Code, Codex from Changan-Su/Forsion. It costs 35 tokens per session (1,142 once invoked), scanned A, original, no licence file.

A research skill for finding information on the internet and checking technical options or facts.

In plain words
What is it for?
It is for web research, comparing technical approaches, verifying claims, and collecting cited findings from multiple sources.
Why use it?
It helps avoid relying on unverified information or a single source when making technical decisions.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/changan-su/forsion/web-research
Any agent
npx skills add Changan-Su/Forsion --skill web-research
Clone the repo
git clone --depth 1 https://github.com/Changan-Su/Forsion

Made for: Claude Code, 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 网络调研

README.md
[![agentmods](https://agentmods.dev/badge/skills/changan-su/forsion/web-research.svg)](https://agentmods.dev/skills/changan-su/forsion/web-research)
Your own site
<a href="https://agentmods.dev/skills/changan-su/forsion/web-research"><img src="https://agentmods.dev/badge/skills/changan-su/forsion/web-research.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,142 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00035 $0.01142
Opus 5 $0.00017 $0.00571
Sonnet 5 $0.00007 $0.00228
Haiku 4.5 $0.00003 $0.00114

Measured 5d ago against content hash edac0d5677b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

网络调研 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 5d 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.

tangu-agent/skills/web-research/SKILL.md · 73 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 5d ago First seen · 73 lines · 35 tokens per session scan A edac0d5677b4

Subscribe to this mod's changes

网络调研 is a skill published in the GitHub repository Changan-Su/Forsion (116 stars, last pushed yesterday), with no licence file. It adds 35 tokens to every session and 1,142 once invoked, about $0.0002 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 2026-08-30.