Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add DropFan/claude-code-plugins/plugin install chat-saverWrote 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/commands/dropfan/claude-code-plugins/export)<a href="https://agentmods.dev/commands/dropfan/claude-code-plugins/export"><img src="https://agentmods.dev/badge/commands/dropfan/claude-code-plugins/export/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/commands/dropfan/claude-code-plugins/export"><img src="https://agentmods.dev/badge/commands/dropfan/claude-code-plugins/export.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 | $0.00009 | $0.00962 |
| Opus 5.5 | $0.00004 | $0.00385 |
| Sonnet 5.5 | $0.00002 | $0.00192 |
| Haiku 4.5 | $0.00001 | $0.00096 |
Grade B, and why
export scanned grade B with 1 finding 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.
Reads MCP configurationmediumAgent snooping
mcp.json carries server URLs and auth tokens; reading it lets a mod discover and abuse other integrations.
- For Notion: add `@notionhq/notion-mcp-server` to project or global `.mcp.json` with `NOTION_TOKEN` How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context
- Working directory: !
pwd - Current date: !
date '+%Y-%m-%d %H:%M' - Plugin root: ${CLAUDE_PLUGIN_ROOT}
Task
Export the current conversation to an external platform (Notion or Feishu/飞书) via MCP integration.
User arguments: $ARGUMENTS
Step 0: Load Settings
Load settings from .claude/chat-saver.local.md following ${CLAUDE_PLUGIN_ROOT}/skills/conversation-export/references/settings-loading.md. Extract: default_scope, save_dir, custom_footer.
Step 1: Parse Arguments
Parse arguments from $ARGUMENTS:
- platform (required) —
notionorfeishu - scope —
full(default) orsummary
If no platform is specified, use AskUserQuestion to let the user choose:
- Notion — Export to a Notion page
- Feishu (飞书) — Export to a Feishu document
Step 2: Check MCP Availability
This plugin does not ship its own MCP servers. It relies on MCP servers already configured in the user's environment (project .mcp.json, or global ~/.claude/.mcp.json).
Detect available MCP tools by checking for tools matching these patterns:
- Notion: tools matching
mcp__*notion*(e.g.,mcp__notion-mcp__*,mcp__notion__*) - Feishu: tools matching
mcp__*feishu*ormcp__*lark*(e.g.,mcp__feishu-mcp__*,mcp__lark__*)
If no matching MCP tools are found for the selected platform:
- Inform the user that no MCP server for the platform was detected
- Provide setup instructions:
- For Notion: add
@notionhq/notion-mcp-serverto project or global.mcp.jsonwithNOTION_TOKEN - For Feishu: add a Feishu MCP server (SSE or stdio) to
.mcp.json
- For Notion: add
- Refer them to
${CLAUDE_PLUGIN_ROOT}/skills/conversation-export/references/mcp-export-guide.mdfor detailed setup steps - Offer to save locally instead (fall back to save-chat)
Step 3: Determine Topic
Same as save-chat: Analyze the conversation to extract the main topic (2-4 keywords in kebab-case).
Step 4: Generate Content
Generate the conversation content in Markdown format (the universal intermediate format for MCP export):
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 · 100 lines · 9 tokens per session scan B 4546bafaf7df
export is a command published in the GitHub repository DropFan/claude-code-plugins (8 stars, last pushed 26d ago), licensed MIT. It adds 9 tokens to every session and 962 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads mcp configuration). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
prompt
System instructions for writing effective prompts. Apply when generating commands, skills, agents, or any LLM instructions.
full
Run the full hope pipeline — intent, shape, target, freeze as needed — then execute.
csv-to-excel
Convert a CSV into a formatted Excel workbook.
csv-to-numbers
Convert a CSV into a formatted Numbers workbook.
doc-to-deck
Turn a Pages or Word document into a compelling slide deck.
sheet-report
Analyze a Numbers or Excel file and generate a report with charts.