Borrowing it
Nothing to install: this file belongs to nicholasxdavis/telelink. 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/nicholasxdavis/telelink/master/AGENTS.mdgit clone --depth 1 https://github.com/nicholasxdavis/telelinkWrote 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/nicholasxdavis/telelink/agents-md)<a href="https://agentmods.dev/instructions/nicholasxdavis/telelink/agents-md"><img src="https://agentmods.dev/badge/instructions/nicholasxdavis/telelink/agents-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/nicholasxdavis/telelink/agents-md"><img src="https://agentmods.dev/badge/instructions/nicholasxdavis/telelink/agents-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 | $0.00978 | $0.00978 |
| Opus 5.5 | $0.00391 | $0.00391 |
| Sonnet 5.5 | $0.00196 | $0.00196 |
| Haiku 4.5 | $0.00098 | $0.00098 |
Grade A, and why
telelink 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 1mo 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TeleLink — AI agent quick reference
Do not explore the codebase first. Run commands from this repo root.
.\telelink.ps1 agent context # JSON: tone, recent messages, analyze paths, exact commands
.\telelink.ps1 agent # this cheat sheet as text
Full skill (setup, config, dev): .cursor/skills/telelink/SKILL.md
Run commands
| Shell | Command |
|---|---|
| Shortcut | .\telelink.ps1 <cmd> |
| Direct | .\.venv\Scripts\python.exe -m telelink <cmd> |
Windows only. Phone Link must be paired. Watcher optional for convo / received; required for live caught.
Task → command (copy-paste)
| User wants | Run this |
|---|---|
| What did [name] send me? | .\telelink.ps1 received mom |
| Last N messages from someone | .\telelink.ps1 received last 5 mom |
| Read full SMS thread (both directions) | .\telelink.ps1 convo mom --raw |
| List recent SMS threads | .\telelink.ps1 convo threads |
| Read phone notifications | .\telelink.ps1 caught --raw --limit 10 |
| See last attachment (vision) | Read data/.analyze/latest.json then data/.analyze/latest.png |
| Send SMS now | .\telelink.ps1 send "Contact Name" Your message here |
| Schedule SMS later | .\telelink.ps1 send in%2hour% "Contact" Your message |
| List contacts | .\telelink.ps1 contacts |
| Missed calls | .\telelink.ps1 missed |
| Share file to phone | .\telelink.ps1 outtake C:\path\to\file.pdf |
| Auto-reply session with someone | .\telelink.ps1 ars start {session} {who} then ars next {session} --raw — see .skills/telelink/ARS.md |
“What did my mom send me?”
Use received, not convo alone:
.\telelink.ps1 received mom
- Resolves mom, Mom?, Mom🩵, etc. via contacts + match rules
- Returns one JSON object with full message bodies (not truncated tables)
- Only incoming messages (what they sent you)
--raw on convo is JSONL for the whole thread; flags work after the contact: convo mom --raw, convo last 10 mom --raw.
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.
- 1mo ago First seen · 98 lines · 978 tokens per session scan A 778cf29f9fbd
telelink AGENTS.md is an instructions file published in the GitHub repository nicholasxdavis/telelink (5 stars, last pushed 4mo ago), licensed MIT. It adds 978 tokens to every session, about $0.0039 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.
Other instructions, from other repositories
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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.
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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.
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).
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.