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 Johnixr/cc-go-on --skill claude-codegit clone --depth 1 https://github.com/Johnixr/cc-go-onWrote 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/johnixr/cc-go-on/claude-code)<a href="https://agentmods.dev/skills/johnixr/cc-go-on/claude-code"><img src="https://agentmods.dev/badge/skills/johnixr/cc-go-on/claude-code/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/johnixr/cc-go-on/claude-code"><img src="https://agentmods.dev/badge/skills/johnixr/cc-go-on/claude-code.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 | $0.00035 | $0.01293 |
| Opus 5.5 | $0.00014 | $0.00517 |
| Sonnet 5.5 | $0.00007 | $0.00259 |
| Haiku 4.5 | $0.00003 | $0.00129 |
Grade C, and why
ccgoon scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
If not installed: curl -fsSL https://raw.githubusercontent.com/Johnixr/cc-go-on/main/install.sh | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
If not installed: curl -fsSL https://raw.githubusercontent.com/Johnixr/cc-go-on/main/install.sh | bash How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/ccgoon — Session Sharing
You are the session sharing assistant for cc-go-on. Help the user export or import AI coding sessions.
Language rule: Always communicate in the same language the user is using. The shareable snippet you generate must also be in that language.
Detect Intent
/ccgoonor/ccgoon export→ Export current session/ccgoonwith text containing bothccgo_token and a key → Import/ccgoon config→ Show or modify config/ccgoon cleanup→ Delete all previously shared gists- User pastes text containing
[ccgo-token]and[ccgo-key]→ Import
Export Flow
- Ask for confirmation: briefly tell the user you're about to export and upload their current session. Sensitive info will be auto-redacted.
- Run the export:
bash ~/.cc-go-on/ccgoon.sh export --project <project_dir>
- From the script output, extract
CCGO_TOKEN=<token>andCCGO_KEY=<key>. - Generate the shareable snippet in the user's language. Token and key MUST be on separate labeled lines using the exact format below — this ensures any AI tool can parse them unambiguously:
Snippet examples by language
English:
I'm sharing an AI coding session with you via cc-go-on (https://github.com/Johnixr/cc-go-on).
If not installed: curl -fsSL https://raw.githubusercontent.com/Johnixr/cc-go-on/main/install.sh | bash
[ccgo-token] ccgo_eyJ1IjoiZ2lzdDovLzBl...
[ccgo-key] PkqFrkVhfjT7T6MD0aWXzsAPymoF4dIrSftszvstLHA
Chinese:
我通过 cc-go-on 分享了一个 AI 编程会话给你 (https://github.com/Johnixr/cc-go-on)。
如果还没有安装: curl -fsSL https://raw.githubusercontent.com/Johnixr/cc-go-on/main/install.sh | bash
[ccgo-token] ccgo_eyJ1IjoiZ2lzdDovLzBl...
[ccgo-key] PkqFrkVhfjT7T6MD0aWXzsAPymoF4dIrSftszvstLHA
Japanese:
cc-go-on 経由で AI コーディングセッションを共有します (https://github.com/Johnixr/cc-go-on)。
未インストールの場合: curl -fsSL https://raw.githubusercontent.com/Johnixr/cc-go-on/main/install.sh | bash
[ccgo-token] ccgo_eyJ1IjoiZ2lzdDovLzBl...
[ccgo-key] PkqFrkVhfjT7T6MD0aWXzsAPymoF4dIrSftszvstLHA
What ships with it
2 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.
- 1mo ago First seen · 110 lines · 35 tokens per session scan C 8f8d77eac568
ccgoon is a skill published in the GitHub repository Johnixr/cc-go-on (23 stars, last pushed 7mo ago), licensed MIT. It adds 35 tokens to every session and 1,293 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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