Borrowing it
Nothing to install: this file belongs to vivekVells/mcp-pandoc. 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/vivekVells/mcp-pandoc/main/AGENTS.mdgit clone --depth 1 https://github.com/vivekVells/mcp-pandocWrote 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/instructions/vivekvells/mcp-pandoc/agents-md)<a href="https://agentmods.dev/instructions/vivekvells/mcp-pandoc/agents-md"><img src="https://agentmods.dev/badge/instructions/vivekvells/mcp-pandoc/agents-md/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/instructions/vivekvells/mcp-pandoc/agents-md"><img src="https://agentmods.dev/badge/instructions/vivekvells/mcp-pandoc/agents-md.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 | $0.01019 | $0.01019 |
| Opus 5 | $0.00509 | $0.00509 |
| Sonnet 5 | $0.00204 | $0.00204 |
| Haiku 4.5 | $0.00102 | $0.00102 |
Grade A, and why
mcp-pandoc AGENTS.md 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Map of this repo. Start here, then navigate to the source of truth you need.
Keep this file thin. It is loaded into context on every task, so it points at detail rather than containing it. If you are adding rules, they belong in the linked docs, not here.
CLAUDE.md is the standards document behind every review here: semantic versioning policy, the documentation checklist, test organisation, and the PR review framework. Claude Code loads it automatically. If you are any other agent, read it explicitly. You will be held to it either way.
What this is
mcp-pandoc is an MCP server exposing document format conversion via pandoc. One tool, convert-contents, eight parameters, stdio transport.
- Published: PyPI
mcp-pandoc· run withuvx mcp-pandoc - Public repo with external contributors. Treat the tool name, parameters, schema, and error semantics as a public API.
Where things are
| Need | Go to |
|---|---|
| The whole server | src/mcp_pandoc/server.py |
| Tool definition and schema | server.py → handle_list_tools() |
| Conversion + validation | server.py → handle_call_tool() |
| SDK v2 adapters | server.py → list_tools(), call_tool() |
| Entry point | src/mcp_pandoc/__init__.py |
| Format matrix tests | tests/test_conversions.py |
| Filters, defaults files | tests/test_advanced_features.py |
| Startup + handshake regression | tests/test_server_startup.py |
| CI | .github/workflows/ci.yml |
| Dependencies and version | pyproject.toml |
Deeper context
| Topic | Doc |
|---|---|
| Project philosophy, PR review framework, maintenance standards | CLAUDE.md |
| How to contribute, tiered by change size | CONTRIBUTING.md · read this before opening a PR |
| User-facing docs | README.md · CHEATSHEET.md |
| Local MCP validation steps | MCP_LOCAL_VALIDATION.md |
| Audits: verified findings behind open work | docs/audits/ |
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.
- 9d ago First seen · 79 lines · 1,019 tokens per session scan A 4a34278887cd
mcp-pandoc AGENTS.md is an instructions file published in the GitHub repository vivekVells/mcp-pandoc (579 stars, last pushed 23d ago), licensed MIT. It adds 1,019 tokens to every session, about $0.0051 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.