Borrowing it
Nothing to install: this file belongs to Euclid-BG/Euclid-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/Euclid-BG/Euclid-MCP/main/AGENTS.mdgit clone --depth 1 https://github.com/Euclid-BG/Euclid-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/euclid-bg/euclid-mcp/agents-md)<a href="https://agentmods.dev/instructions/euclid-bg/euclid-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/euclid-bg/euclid-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/euclid-bg/euclid-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/euclid-bg/euclid-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 | $0.02525 | $0.02525 |
| Opus 5.5 | $0.01010 | $0.01010 |
| Sonnet 5.5 | $0.00505 | $0.00505 |
| Haiku 4.5 | $0.00252 | $0.00252 |
Grade A, and why
Euclid-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 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.
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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Euclid-MCP — Agent Guide
Deterministic logical reasoning engine. Write facts/rules in Euclid IR, engine translates to Prolog, returns solutions with proof trees.
Tools: euclid-mcp_reason, euclid-mcp_explain, euclid-mcp_diagnose, euclid-mcp_what_if, euclid-mcp_check_kb, euclid-mcp_register_kb, euclid-mcp_unregister_kb, euclid-mcp_list_kbs
Workflow
1. check_kb → validate before reasoning (catch syntax errors, undefined predicates)
2. reason → run deduction, get solutions + proof trees
3. explain → turn solutions into readable, auditable reasoning steps
4. diagnose → if result unexpected: mode="why_not" to find missing facts/rules
5. what_if → test modifications before applying them
Always call check_kb first on new or modified knowledge bases.
knowledge/base_knowledge are optional on all reasoning tools: an empty
value falls back to kb_id (if given) and then to the preloaded KB
(EUCLID_KB_PATH / --kb-path). For repeated sessions, register_kb once
and pass kb_id (+ an optional delta_knowledge overlay for session facts)
instead of resending the KB text.
Tools
reason
Main deduction. Returns solutions with variable bindings and proof trees.
| Parameter | Type | Default | Description |
|---|---|---|---|
knowledge |
string? |
— | Facts & rules (falls back to kb_id, then preloaded KB) |
kb_id |
string? |
— | Reference a KB registered via register_kb |
delta_knowledge |
string? |
— | Session facts appended to the kb_id base |
query |
string? |
— | Override query (optional) |
max_solutions |
int |
5 |
Max solutions |
max_depth |
int |
30 |
Max proof tree depth |
explain
Deterministic proof-tree → natural-language reasoning steps. Cites rule_id
when a rule has one. Each explanation also carries structured_steps: typed,
language-independent steps (kind/goal/rule_id/body) from which the
English steps are derived — use them for localized rendering.
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 Changed · +7 lines · +156 tokens per session 79e3c550348e
- 2mo ago First seen · 213 lines · 2,369 tokens per session scan A 3e9175589d87
Euclid-MCP AGENTS.md is an instructions file published in the GitHub repository Euclid-BG/Euclid-MCP (7 stars, last pushed 2d ago), licensed Apache-2.0. It adds 2,525 tokens to every session, about $0.0101 per session on Opus 5.5. 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.
Euclid-MCP AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Euclid-MCP AGENTS.mdEuclid-BG/Euclid-MCP | Instructions file | 7 | 2d ago | Apache-2.0 | A | 2,525 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |