Road Poneglyph — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Road Poneglyph (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
<!-- mcp-name: io.github.xfloukiex-lab/road-poneglyph -->
<img src="icon.png" width="120" align="right" alt="Road Poneglyph icon">
An MCP server that reviews a plan for what's missing — the assumptions, risks, and gaps you never wrote down.
A Model Context Protocol (MCP) server — one focused tool you plug into an MCP-compatible client (Claude Desktop, Claude Code, Cursor, and others).
Language models are good at responding to what's in front of them and poor at noticing what isn't there. Ask one to critique a plan and it tends to react to the words on the page rather than the unstated assumptions behind them.
Road Poneglyph runs a structured pre-mortem over a plan and reports only the negative space — what was assumed without proof, what was technically glossed over, and what was skipped on the way to shipping.
Point your assistant at a plan and ask it to read the poneglyph. The tool returns a focused analysis in three sections:
Tool reference: read_poneglyph(current_plan: str, project_type: str = "Software")
No API key, no cost, nothing leaves your machine. The server doesn't call a language model itself — it returns a carefully engineered analysis prompt that the model you're already talking to executes. Zero credentials, zero network calls.
Requires Python 3.10 or newer.
pip install road-poneglyph-mcpThis installs the road-poneglyph command.
Then register it with your MCP client — either run claude mcp add road-poneglyph -- road-poneglyph, or add this to the client's config (e.g. claude_desktop_config.json):
{
"mcpServers": {
"road-poneglyph": { "command": "road-poneglyph" }
}
}Restart the client and the tool is available.
Road Poneglyph is part of a four-tool set. Each tool stands alone, but installing all of them unlocks a final surprise via Laugh Tale.
| Package | ||
|---|---|---|
| 🗿 | road-poneglyph | Road Poneglyph · ← this repo |
| ⚔️ | conquerors-haki | Conqueror's Haki |
| ⏳ | toki-toki | Toki Toki no Mi |
| 🏴☠️ | laugh-tale | Laugh Tale |
git clone https://github.com/xfloukiex-lab/road-poneglyph
cd road-poneglyph
python -m venv .venv && . .venv/Scripts/activate # macOS/Linux: source .venv/bin/activate
pip install -e ".[dev]"
python tests/test_road_poneglyph.pyReleased under the Apache-2.0 license. The icon is original artwork (see icon.svg), generated locally; the repository ships no third-party assets.
This is a fan-inspired project. It is not affiliated with, sponsored by, or endorsed by the creators or rights holders of One Piece (Eiichiro Oda / Shueisha / Toei Animation). "One Piece" and related names are used only as thematic flavour and remain the property of their respective owners.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.