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 instructions/0p9b/tldr/claude-mdgit clone --depth 1 https://github.com/0p9b/TLDRWrote 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/0p9b/tldr/claude-md)<a href="https://agentmods.dev/instructions/0p9b/tldr/claude-md"><img src="https://agentmods.dev/badge/instructions/0p9b/tldr/claude-md.svg" alt="Measured on agentmods" 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 | $0.02004 | $0.02004 |
| Opus 5 | $0.01002 | $0.01002 |
| Sonnet 5 | $0.00401 | $0.00401 |
| Haiku 4.5 | $0.00200 | $0.00200 |
Grade B, and why
TLDR 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
Native (no-npx, self-contained) providers install a fenced always-on TLDR ruleset into the agent's global instruction file plus the full auto-discovered TLDR skill suite (the 8 `OPENCODE_SKILL_DIRS`: `tldr`, `tldr-commit How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — TLDR maintainer guide
Product
TLDR makes AI coding agents answer in compressed, verdict-first prose while preserving tool use, code, paths, safety, and technical accuracy.
Public repo: https://github.com/0p9b/TLDR
Tagline: Verdict first. Filler never.
Source layout
TLDR/
├── TLDR.md # canonical prompt
├── commands/ # slash-command TOML/Markdown
├── skills/ # source skills
├── agents/ # source tldrcrew subagents
├── bin/install.js # full multi-agent installer
├── install.sh # lightweight prompt-only copier
├── install-full.sh / install.ps1 # full-installer shims
├── src/hooks/ # Claude hook/statusline stack
├── src/plugins/tldr-opencode/ # opencode native plugin source
├── src/plugins/tldr-pi/ # Pi Coding Agent extension source
├── src/mcp-servers/tldr-shrink/ # optional MCP description compressor
├── docs/assets/ # mascot/social/favicon assets
└── tests/ # installer + safety + smoke tests
Edit rules
- Edit source first:
skills/**,agents/**,src/**,bin/**,commands/**. - Run
python3 tests/verify_repo.pybefore any commit touching skills, agents, hooks, plugins, or installer code. - Do not add legacy package names, legacy hook markers, or legacy skill paths to shipped code/docs.
- Historical lineage belongs in
docs/legal/ATTRIBUTION.md,docs/legal/THIRD_PARTY_NOTICES.md, ordata/**, not in install paths or public commands.
Install paths
| Path | Purpose |
|---|---|
bash install.sh |
prompt-only local/global copier |
npx -y github:0p9b/TLDR -- --all |
full multi-agent installer |
bash install-full.sh -- --all |
shell shim to full installer |
pwsh install.ps1 -- --all |
PowerShell shim to full installer |
node bin/install.js --list |
provider matrix |
Supported full-installer providers include Claude, Gemini, Codex, Pi Coding Agent, Grok Build CLI, oh-my-pi, Cursor, Windsurf, Cline, Continue, Kilo, Roo, Augment, opencode, OpenClaw, Hermes Agent, Copilot, Aider Desk, Amp, Bob, Crush, Devin, Droid/Factory, ForgeCode, Goose, iFlow, Kiro, Mistral, OpenHands, Qwen, Rovo Dev, Tabnine, Trae, Warp, Replit, Junie, Qoder, and Antigravity (38 total; node bin/install.js --list).
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.
- 5d ago First seen · 124 lines · 2,004 tokens per session scan B 946f483af9db
TLDR CLAUDE.md is an instructions file published in the GitHub repository 0p9b/TLDR (23 stars, last pushed 12d ago), licensed MIT. It adds 2,004 tokens to every session, about $0.0100 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
shreyas-skills copilot-instructions.md
Instructions for Shreyas-prog108/shreyas-skills: This project follows the engineering standard defined in coding-skills.md.
DuDuClaw CLAUDE.md
Claude Code instructions for zhixuli0406/DuDuClaw, covering duduclaw project guidelines, architecture overview (v1.15.0), design context, users and brand personality.
shreyas-skills CLAUDE.md
Instructions for Shreyas-prog108/shreyas-skills: This project follows the engineering standard defined in coding-skills.md.
shreyas-skills AGENTS.md
Instructions for Shreyas-prog108/shreyas-skills: This project follows the engineering standard defined in coding-skills.md.
avoid-ai-writing CLAUDE.md
Claude Code instructions for conorbronsdon/avoid-ai-writing, covering claude.md, what this is, repository structure, how to make changes and architecture of the skill.
prompt-improver AGENTS.md
Instructions for owenob1/prompt-improver: This repository packages prompt-improver as an Agent Skill.