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 agentmods add skills/adampoit/ai/chatgpt-share-markdownnpx skills add adampoit/ai --skill chatgpt-share-markdowngit clone --depth 1 https://github.com/adampoit/aiWrote 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/adampoit/ai/chatgpt-share-markdown)<a href="https://agentmods.dev/skills/adampoit/ai/chatgpt-share-markdown"><img src="https://agentmods.dev/badge/skills/adampoit/ai/chatgpt-share-markdown.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 | $0.00050 | $0.00411 |
| Opus 5 | $0.00025 | $0.00205 |
| Sonnet 5 | $0.00010 | $0.00082 |
| Haiku 4.5 | $0.00005 | $0.00041 |
Grade A, and why
chatgpt-share-markdown 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 6d 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.
What it actually says
Chatgpt Share Markdown
Convert shared ChatGPT conversations into role-labeled Markdown using ./scripts/chatgpt-share-markdown.cs.
dotnet run --file ./scripts/chatgpt-share-markdown.cs -- "https://chatgpt.com/share/<id>"
Workflow
- Run the script with a public
chatgpt.com/share/...URL. - Inspect the generated Markdown for media placeholders and formatting.
- Use the Markdown directly as context, or trim it to only the relevant turns.
Commands
Export to stdout:
dotnet run --file ./scripts/chatgpt-share-markdown.cs -- "https://chatgpt.com/share/<id>"
Export to a file:
dotnet run --file ./scripts/chatgpt-share-markdown.cs -- "https://chatgpt.com/share/<id>" --output "/tmp/chat-context.md"
Output
- Conversation title as H1
- Metadata block with source URL and optional update timestamp/model
- One section per turn:
## Userand## Assistantby default (## Tooloptional) - Markdown-friendly content with fenced code blocks and basic multimodal placeholders
- Internal tool-action payloads and reasoning recaps are omitted by default to keep context clean
Optional flags:
--include-tool-turns --include-internal-actions --include-reasoning
Troubleshooting
- If the URL is not a public share link, request
https://chatgpt.com/share/.... - If parsing fails, rerun once; share page payload shape can change.
- If output looks incomplete, keep the parser output and supplement manually only for missing turns.
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.
- 6d ago First seen · 53 lines · 50 tokens per session scan A 385e3702ad5f
chatgpt-share-markdown is a skill published in the GitHub repository adampoit/ai (2 stars, last pushed 2d ago), licensed MIT. It adds 50 tokens to every session and 411 once invoked, about $0.0003 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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