Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/sordi-ai/skill-everything/cursorrulesgit clone --depth 1 https://github.com/sordi-ai/skill-everythingWhat 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 | $0.01069 | $0.01069 |
| Opus 5 | $0.00535 | $0.00535 |
| Sonnet 5 | $0.00214 | $0.00214 |
| Haiku 4.5 | $0.00107 | $0.00107 |
Grade A, and why
cursorrules 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 2d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
skill-everything
You are using the skill-everything knowledge system: agent memory in plain Markdown, versioned in Git, that grows by capturing your own past mistakes as committed rules.
Your responsibilities
- Before every implementation: check the sub-skill directory below, load the matching skill via
@file:./skills/<name>/SKILL.mdreferences. - After every mistake: execute the self-extension workflow.
- When you learn something new: add it to the appropriate category.
Sub-skill directory
| Trigger | Sub-skill | Load via |
|---|---|---|
| writing code, refactoring, review | Code Quality | @file:./skills/code-quality/SKILL.md |
| python code, type hints, python packaging | Python | @file:./skills/python/SKILL.md |
| fastapi endpoint, pydantic model, async api | FastAPI | @file:./skills/fastapi/SKILL.md |
| langchain, lcel chain, agent framework | LangChain / Agent Framework Conventions | @file:./skills/langchain/SKILL.md |
| typescript code, strict types, async typescript | TypeScript | @file:./skills/typescript/SKILL.md |
| react component, react hooks, react performance | React | @file:./skills/react/SKILL.md |
| test-driven development, red green refactor, test first | Test-Driven Development | @file:./skills/tdd/SKILL.md |
| debugging, troubleshooting, root cause analysis, isolating bugs | Debugging | @file:./skills/debugging/SKILL.md |
| security review, vulnerability check, auth implementation | Security Review Depth | @file:./skills/security-review/SKILL.md |
| git commit, branch, pull request | Git Conventions | @file:./skills/git-conventions/SKILL.md |
| gh cli, github pr create, github issues | GitHub CLI (gh) Conventions |
@file:./skills/github-cli/SKILL.md |
| finish branch, pre-merge checklist, branch cleanup | Closing Out a Feature Branch | @file:./skills/branch-finishing/SKILL.md |
| creating PR, deployment, review checklist | Review & Deployment | @file:./skills/review-deployment/SKILL.md |
| dockerfile, docker compose, container build | Docker / Container Conventions | @file:./skills/docker/SKILL.md |
| bash script, shell script, posix scripting | Bash / POSIX Scripting | @file:./skills/shell-scripting/SKILL.md |
| database schema, migration, table design | Database Schema Design | @file:./skills/db-schema/SKILL.md |
| svg edit, svg review, diagram, pixel review | SVG Check | @file:./skills/svg-check/SKILL.md |
| architecture diagram, mermaid diagram, drawio file | Diagrams (draw.io / Mermaid) | @file:./skills/drawio/SKILL.md |
| project-specific knowledge, business rules | Domain Knowledge (template) | @file:./skills/domain-template/SKILL.md |
| made or corrected a mistake, learn from this | Error Log | @file:./skills/error-log/SKILL.md |
| brainstorming, idea generation, divergent thinking | Brainstorming | @file:./skills/brainstorming/SKILL.md |
| implementation plan, planning before code, scope definition | Implementation Plan | @file:./skills/implementation-plan/SKILL.md |
| executing self-extension | Self-Extension Workflow | @file:./skills/self-extension-workflow/SKILL.md |
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.
- 2d ago First seen · 65 lines · 1,069 tokens per session scan A c0f7074f9ecb
cursorrules is a cursor rule published in the GitHub repository sordi-ai/skill-everything (19 stars, last pushed 3mo ago), licensed MIT. It adds 1,069 tokens to every session, about $0.0053 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 2026-08-30.
Other cursor rules, from other repositories
00-stack
Stack, runtimes, and MCP servers for this repository.
20-testing
How to run tests and MCP smoke checks.
30-security
Secrets, gitleaks, age encryption, telemetry redaction.
obsidian-memory
Markdown vault memory protocol (vkm-kit).
10-style
Style conventions and contribution hygiene.
retention-predictor
Skill — retention-predictor. Predicts retention potential via usage frequency, habit formation mechanics, and churn risk factors.