Borrowing it
Nothing to install: this file belongs to swoopeagle/standardgraph. 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/swoopeagle/standardgraph/main/AGENTS.mdgit clone --depth 1 https://github.com/swoopeagle/standardgraphWrote 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/swoopeagle/standardgraph/agents-md)<a href="https://agentmods.dev/instructions/swoopeagle/standardgraph/agents-md"><img src="https://agentmods.dev/badge/instructions/swoopeagle/standardgraph/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/swoopeagle/standardgraph/agents-md"><img src="https://agentmods.dev/badge/instructions/swoopeagle/standardgraph/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 | $0.02148 | $0.02148 |
| Opus 5.5 | $0.00859 | $0.00859 |
| Sonnet 5.5 | $0.00430 | $0.00430 |
| Haiku 4.5 | $0.00215 | $0.00215 |
Grade A, and why
standardgraph 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
StandardGraph — Codex context
What this is
FastMCP server exposing 175,000+ education standards across 310 curriculum systems as six MCP tools for Codex Desktop. Standards cover Math, Science, ELA, Social Studies, CS, Arts, and World Languages.
Architecture
packages/
common-core/ → PyPI package "standardgraph" — the MCP server
src/common_core/
server.py → all six MCP tools (search, lookup, progression, learning_path, map, list)
config.py → DB_PATH resolution (~/.standardgraph/common_core.db)
ingestion/ → pipeline: fetchers → embed → relate → crosswalk
shared/ → shared DB helpers
data/common_core.db → dev/pipeline DB (used by overnight_run.sh)
~/.standardgraph/common_core.db → installed user DB (used by MCP server)
scripts/
mcp_test.py → 333-test suite (imports server directly, no MCP protocol)
overnight_run.sh → full ingestion pipeline (run on Mac Studio overnight)
dashboard.sh → hardware + pipeline progress dashboard
progress.sh → pipeline-only progress view
Key facts
- DB size: ~1.9 GB
- Standards: 175,738 across 310 systems (incl. CCSS sub-standard decomposition, source-side decomposition of 11 high-bundling systems, CCSS Mathematical Practice standards, and the 2026-07 international expansion incl. 10 African systems)
- Crosswalk rows: ~117,699 (hub-centric: CCSS for math, NGSS for science, etc.)
- Crosswalk quality scores: ~75,055 rows (~63.8%) carry a 1–5 quality score (LLM rubric scoring + deterministic exact-match); pre-existing AP/IB source rows are scored. Remainder unscored (
nlp_pass, ranked by cosine, treated as neutral quality) — includes new math mappings added by the 2026-07 decomposition/MP regeneration. - Relationships: ~3.79M rows (prerequisites/successors)
- Ollama host:
http://169.254.1.1:11434(Mac Studio via Thunderbolt Bridge from Mini 2 — 0.4ms RTT) - HuggingFace dataset:
swoopeagle/standardgraph(file:common_core.db) - PyPI package:
standardgraph
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 First seen · 166 lines · 2,148 tokens per session scan A c72e03f178d7
standardgraph AGENTS.md is an instructions file published in the GitHub repository swoopeagle/standardgraph (5 stars, last pushed 5d ago), licensed MIT. It adds 2,148 tokens to every session, about $0.0086 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.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.