standardgraph: Instructions file for Claude Code

CLAUDE.md

standardgraph CLAUDE.md is an instructions file for Claude Code from swoopeagle/standardgraph. It costs 3,061 tokens per session, scanned B, original, MIT.

Project instructions for StandardGraph, a local tool that lets Claude search and compare more than 175,000 education standards from 310 curriculum systems. Education standards are the learning goals schools use for subjects and grade levels.

In plain words
What is it for?
Use them when developing, testing, or maintaining the StandardGraph MCP server and its standards database and data-ingestion pipeline.
Why use it?
They give the coding agent the project’s structure, data locations, important facts, and test commands so it can work on the repository with the right context.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions Claude Code.

This is swoopeagle/standardgraph's own configuration. It tells Claude Code how to work on standardgraph itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything standardgraph configures →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is cd packages/common-core && uv build # output goes to ../../dist/.

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/swoopeagle/standardgraph/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/swoopeagle/standardgraph

Made for: Claude Code.

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Per session 3,061 This file is loaded in full into every session.
When invoked 3,061 The same file — it is already loaded in full.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.03061 $0.03061
Opus 5.5 $0.01224 $0.01224
Sonnet 5.5 $0.00612 $0.00612
Haiku 4.5 $0.00306 $0.00306

Measured 5d ago against content hash 91a870fb5c02, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

standardgraph CLAUDE.md scanned grade B with 1 finding 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 5d 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

`UserName: devos` set (without it they run as root and the venv/DB paths break).
CLAUDE.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

StandardGraph — Claude Code context

What this is

FastMCP server exposing 175,000+ education standards across 307 curriculum systems as six MCP tools for Claude 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: ~850 MB release file (common_core_v2.db, built by scripts/slim_release_db.py); the full pipeline DB is ~1.9 GB
  • Standards: 175,046 across 307 systems as of 1.6.3 (withheld systems in data/withheld_systems.txt are removed at release) (incl. CCSS sub-standard decomposition, source-side decomposition of 11 high-bundling systems, CCSS Mathematical Practice standards, the 2026-07 international expansion incl. 10 African systems, and the 2026-07-15 math grade-coverage fill-in for 11 countries)
  • Crosswalk rows: 173,485 as of 1.6.3 (101,689 served; the rest flagged by score or the 0.75 cosine floor). Previously ~208,442 — hub-centric (CCSS for math, NGSS for science, etc.) PLUS ~88,944 direct within-family country-to-country math edges (see crosswalk_engine/direct_family.py; tagged direct_family in notes). map_standard serves direct edges automatically, two-hop-via-CCSS is the fallback.
  • Crosswalk quality scores: ALL 208,442 crosswalks now carry a 1–5 LLM quality score (100%) — completed 2026-07-18 via two overnight Ollama fleet runs (Studio + Mini 2 + IWPC GPU, qwen2.5:14b): the 88,944 direct-family math edges, then the 41,697 hub-centric edges (mostly ELA/Sci/SS). 37,335 edges carry flagged_for_review=1 and are suppressed from default map_standard results. Flagging policy differs by layer: direct-family flags score ≤2; hub-centric flags only score 1 (hub 2s are often valid-but-grade-shifted, and map_standard already ranks by score). Non-math hub rationales were re-scored with a subject-neutral prompt (the initial fleet prompt said "math", polluting ~2,520 non-math rationales — fixed). Note: scores span calibration regimes (earlier Sonnet mode=4; fleet 14b generous top-end) — directional weak/strong signal intact.
  • Relationships: ~1.8M prerequisite rows in the release DB; successors are derived from them at query time (pipeline DB keeps both)
  • 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_v2.db from 1.6.3; common_core.db is the old float32 file, kept for older installs)
  • PyPI package: standardgraph

Read the full file on GitHub · 199 lines

Changes

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.

  1. 5d ago Changed · +131 tokens per session 91a870fb5c02
  2. 1mo ago First seen · 199 lines · 2,930 tokens per session scan B 2ea2f81b1899

Subscribe to this mod's changes

standardgraph CLAUDE.md is an instructions file published in the GitHub repository swoopeagle/standardgraph (5 stars, last pushed 5d ago), licensed MIT. It adds 3,061 tokens to every session, about $0.0122 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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