TimesFM is a pretrained foundation model that forecasts future values in time-series data. Google Research develops it for forecasting applications, including use through Google products. The catalogue add-ons support working with the project.
Borrowing it
Nothing to install: this file belongs to google-research/timesfm. 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/google-research/timesfm/master/AGENTS.mdgit clone --depth 1 https://github.com/google-research/timesfmWrote 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/google-research/timesfm/agents-md)<a href="https://agentmods.dev/instructions/google-research/timesfm/agents-md"><img src="https://agentmods.dev/badge/instructions/google-research/timesfm/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/google-research/timesfm/agents-md"><img src="https://agentmods.dev/badge/instructions/google-research/timesfm/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 | $0.00221 | $0.00221 |
| Opus 5.5 | $0.00088 | $0.00088 |
| Sonnet 5.5 | $0.00044 | $0.00044 |
| Haiku 4.5 | $0.00022 | $0.00022 |
Grade A, and why
timesfm 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 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.
What it actually says
TimesFM — Agent Entry Point
This repository ships a first-party Agent Skill for TimesFM at:
timesfm-forecasting/
└── SKILL.md ← read this for the full skill
Install the skill
Copy the skill directory into your agent's skills folder:
# Cursor / Claude Code / OpenCode / Codex (global install)
cp -r timesfm-forecasting/ ~/.cursor/skills/
cp -r timesfm-forecasting/ ~/.claude/skills/
# Or project-level
cp -r timesfm-forecasting/ .cursor/skills/
Any agent that supports the open Agent Skills standard will discover it automatically.
Working in this repo
If you are developing TimesFM itself (not using it), the source lives in src/timesfm/.
Archived v1/v2 code and notebooks are in v1/.
Run tests:
pytest v1/tests/
See README.md for full developer setup.
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 · 37 lines · 221 tokens per session scan A 27123daef7f9
timesfm AGENTS.md is an instructions file published in the GitHub repository google-research/timesfm (35,246 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 221 tokens to every session, about $0.0009 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 2026-08-30.
timesfm AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| timesfm AGENTS.mdgoogle-research/timesfm | Instructions file | 35k | 1mo ago | Apache-2.0 | A | 221 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |