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/agents-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/agents-md)<a href="https://agentmods.dev/instructions/0p9b/tldr/agents-md"><img src="https://agentmods.dev/badge/instructions/0p9b/tldr/agents-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 | $0.00045 | $0.00045 |
| Opus 5 | $0.00023 | $0.00023 |
| Sonnet 5 | $0.00009 | $0.00009 |
| Haiku 4.5 | $0.00005 | $0.00005 |
Grade A, and why
TLDR AGENTS.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 3d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- TLDR GEMINI.md — 100% identical, 0 lines differ
What it actually says
@./skills/tldr/SKILL.md @./skills/tldr-commit/SKILL.md @./skills/tldr-review/SKILL.md @./skills/tldr-compress/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.
- 3d ago First seen · 5 lines · 45 tokens per session scan A 8e00f74df822
TLDR AGENTS.md is an instructions file published in the GitHub repository 0p9b/TLDR (23 stars, last pushed 10d ago), licensed MIT. It adds 45 tokens to every session, about $0.0002 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 instructions, from other repositories
codedb AGENTS.md
AGENTS.md instructions for justrach/codedb, covering codedb agent guidelines, what codedb is (and isn't), review guidelines, pre-merge verification and security-sensitive areas.
codedb CLAUDE.md
Claude Code instructions for justrach/codedb, covering codedb — agent instructions, project, rules, filing issues and test style.
Omni-Rewriter AGENTS.md
Instructions for WayneJin0918/Omni-Rewriter: Maintainer and coding-agent conventions live in docs/AGENTS.md. Also see .cursor/skills/omni-rewriter-h3-pe/SKILL.md, .cursor/skills/omni-rewriter-model-contribution/SKILL.md, and .cursor/skills/omni-rewriter-promo-pipeline/SKILL.md.
ANWS AGENTS.md
Instructions for Haaaiawd/ANWS, covering agents.md - ai 协作协议, 🧠 30秒恢复协议 (quick recovery), 🗺️ 地图 (领地感知), 🛠️ 工作流注册表 and 📜 宪法 (the constitution).
agnostic-ai r1.instructions.md
Instructions for Chemaclass/agnostic-ai, a project described as: One source of truth for AI agents, skills, rules, and hooks. Transpile to every AI CLI you use.
nano-banana-image-skill AGENTS.md
Instructions for Emily2040/nano-banana-image-skill, covering nano banana image skill — agents instructions, canonical entrypoint, secondary files, working agreements and expected outputs.