Borrowing it
Nothing to install: this file belongs to valderan/vvk-charts-mcp. 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/valderan/vvk-charts-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/valderan/vvk-charts-mcpWrote 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/valderan/vvk-charts-mcp/agents-md)<a href="https://agentmods.dev/instructions/valderan/vvk-charts-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/valderan/vvk-charts-mcp/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/valderan/vvk-charts-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/valderan/vvk-charts-mcp/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 | $0.01384 | $0.01384 |
| Opus 5 | $0.00692 | $0.00692 |
| Sonnet 5 | $0.00277 | $0.00277 |
| Haiku 4.5 | $0.00138 | $0.00138 |
Grade A, and why
vvk-charts-mcp 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 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.
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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Operational guide for coding agents working in vvk-charts-mcp.
Project Snapshot
- Language: Python (
>=3.10) - Packaging:
pyproject.tomlwithhatchling - Environment manager:
uv - Main package path:
src/vvk_charts_mcp - Entry points:
vvk-charts-mcp->vvk_charts_mcp.server:mainvvk-charts-cli->vvk_charts_mcp.client:main
- Primary libraries:
mcp,plotly,plotext,pydantic
Setup Commands
- Install deps (including dev deps):
uv sync
- Recreate env from lockfile:
uv sync --frozen
Run Commands
- Run MCP server locally:
uv run vvk-charts-mcp
- Run interactive CLI client:
uv run vvk-charts-cli
Build / Lint / Typecheck / Test
- Build package artifacts:
uv build
- Lint entire repo (Ruff):
uv run ruff check .
- Auto-fix lint issues where safe:
uv run ruff check . --fix
- Static type checking:
uv run mypy src
- Run all tests:
uv run pytest
Single-Test Commands (important)
There is currently no tests/ directory in this repository. Use these commands once tests exist.
- Run one file:
uv run pytest tests/test_example.py
- Run one test function:
uv run pytest tests/test_example.py::test_specific_case
- Run one test class:
uv run pytest tests/test_example.py::TestSuite
- Run tests by keyword expression:
uv run pytest -k "terminal and dashboard"
- Run with quiet output for agents:
uv run pytest -q
Repository Structure
src/vvk_charts_mcp/server.py: MCP tool schema + tool dispatch.src/vvk_charts_mcp/client.py: interactive local smoke-test client.src/vvk_charts_mcp/charts/: chart classes (line,bar,pie,scatter,area).src/vvk_charts_mcp/terminal/: terminal chart/dashboard rendering + themes.src/vvk_charts_mcp/utils/export.py: PNG/SVG/base64 export helpers.ai/: reusable prompts/profiles for chart-focused agents.
Code Style Rules
These rules are inferred from current source and tool config. Follow existing conventions.
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 · 167 lines · 1,384 tokens per session scan A 23a61b070c1a
vvk-charts-mcp AGENTS.md is an instructions file published in the GitHub repository valderan/vvk-charts-mcp (1 stars, last pushed 6mo ago), licensed MIT. It adds 1,384 tokens to every session, about $0.0069 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.
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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.