Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ilyautov/consilium-principisnpx agentmods add skills/ilyautov/consilium-principis/consilium-connectWrote 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/ilyautov/consilium-principis/consilium-connect)<a href="https://agentmods.dev/skills/ilyautov/consilium-principis/consilium-connect"><img src="https://agentmods.dev/badge/skills/ilyautov/consilium-principis/consilium-connect/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/skills/ilyautov/consilium-principis/consilium-connect"><img src="https://agentmods.dev/badge/skills/ilyautov/consilium-principis/consilium-connect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 17 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00133 | $0.00687 |
| Opus 5 | $0.00067 | $0.00344 |
| Sonnet 5 | $0.00027 | $0.00137 |
| Haiku 4.5 | $0.00013 | $0.00069 |
Grade A, and why
consilium-connect 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 12d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Consilium-Principis — connect the server (onboarding)
Important, read first. This markdown skill is a funnel, not the product. The advisor logic —
the fidelity contour (🔵 verbatim / 🟢 commentary / 🟡 extrapolation / 📐 calculation), fail-closed
abstention, the quote gate, the council choreography, and every tool — lives in a local MCP
server (scripts/mcp_server.py), not in this file. Installed on its own via npx skills add,
this skill has no tools to call yet. Its whole job is to get you to the server.
Do not fabricate advisor answers or pretend the tools exist. If the MCP server is not connected, say so and walk the user through connecting it.
What to do
-
Get the code. Clone or install the project:
git clone https://github.com/ilyautov/consilium-principis ~/consilium-principis cd ~/consilium-principis python3 install.py # or run in place; Python 3.10+ -
Wire the MCP server into this agent. Generate a machine-correct config snippet:
python3 scripts/board.py mcp-config --json # on Windows: py -3 ...Then paste it into your host's MCP configuration. Host-by-host recipes (Claude Code, Claude Desktop, Cursor, Codex, Gemini CLI, Kimi CLI, and any universal MCP host) are in
docs/CONNECT-HOSTS.md. -
Convene. Once the server is connected, say "where do I start". The server's INSTRUCTIONS (delivered over the MCP
initializehandshake) take over: it checks readiness (doctor) and seeds a starter board (seed_council: Marcus Aurelius and Epictetus, public-domain). If your host does not forwardinitializeinstructions automatically, ask the agent to call thedoctorandseed_counciltools explicitly.
Why a separate MCP server
The moat is local execution with a bring-your-own private corpus: nothing runs on anyone else's infrastructure, and only public-domain content is ever packaged. A markdown-only skill cannot carry that guarantee — it can only point you at the server that enforces it.
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.
- 12d ago First seen · 54 lines · 133 tokens per session scan A 2dec95c236a0
consilium-connect is a skill published in the GitHub repository ilyautov/consilium-principis (7 stars, last pushed today), licensed MIT. It adds 133 tokens to every session and 687 once invoked, about $0.0007 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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