Borrowing it
Nothing to install: this file belongs to jrjsmrtn/tlx. 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/jrjsmrtn/tlx/main/CLAUDE.mdgit clone --depth 1 https://github.com/jrjsmrtn/tlxWrote 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/jrjsmrtn/tlx/claude-md)<a href="https://agentmods.dev/instructions/jrjsmrtn/tlx/claude-md"><img src="https://agentmods.dev/badge/instructions/jrjsmrtn/tlx/claude-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/jrjsmrtn/tlx/claude-md"><img src="https://agentmods.dev/badge/instructions/jrjsmrtn/tlx/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 | $0.02140 | $0.02140 |
| Opus 5.5 | $0.00856 | $0.00856 |
| Sonnet 5.5 | $0.00428 | $0.00428 |
| Haiku 4.5 | $0.00214 | $0.00214 |
Grade A, and why
tlx CLAUDE.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 2mo 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TLX
A Spark DSL for writing TLA+/PlusCal specifications, with TLA+ emission for TLC model checking and an optional Elixir simulation mode.
Deliverables
TLX library — Elixir DSL for formal specifications. Emits TLA+, PlusCal (C/P syntax), Elixir (round-trip), DOT, Mermaid, PlantUML, D2. Includes NimbleParsec importers, Elixir simulator, TLC integration, refinement checking, 7 extractors (gen_statem, GenServer, LiveView, Erlang, Ash.StateMachine, Reactor, Broadway), 3 OTP patterns (StateMachine, GenServer, Supervisor).
Agent skills — 4 skills shipped via usage-rules/skills/ per agentskills.io spec, distributed to consumers via usage_rules package_skills: [:tlx]: formal-spec (ADR → abstract spec → extract → enrich → refinement), spec-audit (scan project for extractable modules), visualize (multi-format diagrams), spec-drift (detect stale specs).
Project Context
- Category: Development
- Type: Library + Agent Skill
- Stack: Elixir/Spark
- License: MIT
Current Development Status
- Latest Release: v0.5.3
- Status: Active — 5 examples, 609 unit + 91 integration tests, Diátaxis docs complete
- Completed sprints: 1-70 + refinement (ADR-0013 round-trip track shipped)
- Proposed sprints: 44 (state/transition coverage tooling)
Foundational ADRs
Read these at the start of each AI session for complete context:
| ADR | Purpose | Summary |
|---|---|---|
| ADR-0001 | HOW TO DECIDE | Decision methodology |
| ADR-0002 | HOW TO DEVELOP | Development practices |
| ADR-0003 | WHAT TECH | Technology stack |
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.
- 2mo ago First seen · 144 lines · 2,140 tokens per session scan A a16e2cd58e15
tlx CLAUDE.md is an instructions file published in the GitHub repository jrjsmrtn/tlx (12 stars, last pushed 1mo ago), licensed MIT. It adds 2,140 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.
tlx CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tlx CLAUDE.mdjrjsmrtn/tlx | Instructions file | 12 | 1mo ago | MIT | A | 2,140 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | 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 | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |