Borrowing it
Nothing to install: this file belongs to SeifBenayed/cloclo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SeifBenayed/cloclo/main/.claude/skills/chatgpt-search/SKILL.mdgit clone --depth 1 https://github.com/SeifBenayed/clocloWrote 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/seifbenayed/cloclo/chatgpt-search)<a href="https://agentmods.dev/skills/seifbenayed/cloclo/chatgpt-search"><img src="https://agentmods.dev/badge/skills/seifbenayed/cloclo/chatgpt-search.svg" alt="Measured on agentmods" 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 | $0.00105 | $0.01917 |
| Opus 5 | $0.00053 | $0.00958 |
| Sonnet 5 | $0.00021 | $0.00383 |
| Haiku 4.5 | $0.00011 | $0.00192 |
Grade C, and why
chatgpt-search scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf "$COPY/Default/Cache" "$COPY/Default/Code Cache" 2>/dev/null Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s http://127.0.0.1:9222/json/version | head -1 How it starts
The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ChatGPT Search — Extract structured response + hydration JSON
Prerequisites
A Chrome instance must be running with --remote-debugging-port=9222.
If not running, launch it:
# Kill existing Chrome first
pkill -9 -f "Google Chrome" 2>/dev/null; sleep 2
# Launch with debug port + user's real profile copy
"/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" \
--remote-debugging-port=9222 \
--user-data-dir="$HOME/.claude/browser-profiles/chrome-debug-full" \
--no-first-run &>/dev/null &
If the profile doesn't exist yet, create it by copying the user's real Chrome profile:
REAL="$HOME/Library/Application Support/Google/Chrome"
COPY="$HOME/.claude/browser-profiles/chrome-debug-full"
mkdir -p "$COPY"
cp "$REAL/Local State" "$COPY/" 2>/dev/null
cp -R "$REAL/Default" "$COPY/Default" 2>/dev/null
rm -rf "$COPY/Default/Cache" "$COPY/Default/Code Cache" 2>/dev/null
Workflow
The user provides a search query. Execute these steps:
Step 1: Verify Chrome is running with debug port
curl -s http://127.0.0.1:9222/json/version | head -1
If it fails, launch Chrome as described in Prerequisites.
Step 2: Attach + enable network log + open ChatGPT
Browser { action: "new_session", session_id: "chatgpt", cdp_url: "http://127.0.0.1:9222" }
Browser { action: "enable_network_log", session_id: "chatgpt" }
Browser { action: "new_tab", url: "https://chatgpt.com", session_id: "chatgpt" }
Wait 5 seconds for page load.
Step 3: Inject fetch/SSE interceptor
Browser { action: "evaluate", session_id: "chatgpt", value: "window.__sse=[];window.__api=[];const _f=window.fetch;window.fetch=async function(...a){const url=typeof a[0]==='string'?a[0]:a[0]?.url||'?';const m=a[1]?.method||'GET';const rb=a[1]?.body;const resp=await _f.apply(this,a);const ct=resp.headers.get('content-type')||'';const cl=resp.clone();if(ct.includes('event-stream')){const rd=cl.body.getReader();const dc=new TextDecoder();let full='';(async()=>{try{while(true){const{done,value:v}=await rd.read();if(done)break;full+=dc.decode(v,{stream:true});}}catch{}window.__sse.push({url,m,s:resp.status,sz:full.length,body:full,ts:Date.now()});})();}else{cl.text().then(t=>{if(t.length>30)window.__api.push({url,m,s:resp.status,sz:t.length,body:t,ts:Date.now()});}).catch(()=>{});}return resp;};'ok'" }
What ships with it
1 file 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.
- 8d ago First seen · 170 lines · 105 tokens per session scan C 728131aa0de2
chatgpt-search is a skill published in the GitHub repository SeifBenayed/cloclo (114 stars, last pushed 5mo ago), licensed MIT. It adds 105 tokens to every session and 1,917 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it C with 2 findings (recursive force delete, 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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