Borrowing it
Nothing to install: this file belongs to williamzujkowski/standards. 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/williamzujkowski/standards/master/CLAUDE.mdgit clone --depth 1 https://github.com/williamzujkowski/standardsWrote 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/williamzujkowski/standards/claude-md)<a href="https://agentmods.dev/instructions/williamzujkowski/standards/claude-md"><img src="https://agentmods.dev/badge/instructions/williamzujkowski/standards/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80Γ15 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/williamzujkowski/standards/claude-md"><img src="https://agentmods.dev/badge/instructions/williamzujkowski/standards/claude-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 | $0.06630 | $0.06630 |
| Opus 5.5 | $0.02652 | $0.02652 |
| Sonnet 5.5 | $0.01326 | $0.01326 |
| Haiku 4.5 | $0.00663 | $0.00663 |
Grade A, and why
standards CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories β prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency β measured yesterday.
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 β 829 lines β stays where its author put it; the contents beside it link to each section on GitHub.
Claude Code Configuration - Standards Router & SPARC Environment
π Fast Path: Standards Auto-Loading
Quick Load by Product Type
@load product:api # REST/GraphQL API service
@load product:web-service # Full-stack web application
@load product:frontend-web # React/Vue/Angular SPA
@load product:mobile # iOS/Android application
@load product:data-pipeline # ETL/ELT data workflow
@load product:ml-service # ML training/inference service
Custom Combinations
@load [product:api + CS:python + TS:pytest] # Python API
@load [product:frontend-web + FE:react + SEC:*] # React with all security
@load [CS:python + TS:* + SEC:* + NIST-IG:full] # Full compliance stack
How It Works
- Reads
config/product-matrix.yamlfor product mappings - Resolves standard codes (CS, TS, SEC, etc.) to specific docs
- Expands wildcards (SEC:* β all security standards)
- Auto-includes NIST-IG:base when SEC is present
- Loads relevant standards from
docs/standards/and related paths
Routing Contracts
- Input:
@loaddirective with product type and/or standard codes - Processing: Matrix resolution β wildcard expansion β NIST inclusion
- Output: Loaded standards with implementation guidance
Implementation Note: The @load directive syntax shown above represents the planned interface. Current implementation requires using the skill-loader script:
python3 scripts/skill-loader.py load product:api
python3 scripts/skill-loader.py load skill:coding-standards/python
π Anthropic Skills.md Alignment
Compliance Status: 61/61 skills fully compliant (100%) β
Last Optimized: 2025-10-24 23:30:00 EDT (Phase 2 complete)
This repository implements Anthropic's canonical skills.md format with value-add extensions:
β Required Compliance (Anthropic Spec)
- YAML Frontmatter with required fields:
name: Skill identifier (<64 chars, lowercase/hyphens only)description: What the skill does and when to use it (<1024 chars)
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.
- yesterday First seen Β· 829 lines Β· 6,630 tokens per session scan A 411f8db27bb4
standards CLAUDE.md is an instructions file published in the GitHub repository williamzujkowski/standards (18 stars, last pushed 1mo ago), licensed MIT. It adds 6,630 tokens to every session, about $0.0265 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 2026-09-29.
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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
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).