timesfm-forecasting SKILL.md skillA
timesfm-forecasting from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/timesfm-forecasting@v3.0Pins v3.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/timesfm-forecasting/SKILL.md- Versions recorded
- 8
- Latest version
- v3.0, committed Oct 1, 2026
- First version recorded
- Jun 11, 2026
- Size
- 9,521 bytes
- Repository stars
- 56,497
- License
- MIT
Performs zero-shot time-series forecasting with Google's TimesFM, including regular-grid CSV preparation, quantile forecasts, XReg covariates, and held-out evaluation. Uses the Apache-licensed TimesFM 2.5 checkpoint by default and documents the distinct TimesFM 3.0 multivariate API and weight-license requirements.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# TimesFM Forecasting ## Choose the model/API first The **Python package version is 3.0.2**; checkpoint versions are separate. | Checkpoint | Interface | Quantile output | Usage terms | | --- | --- | --- | --- | | 2.5, 200M | `timesfm.TimesFM_2p5_200M_torch`, `compile`, `forecast` | mean + 9 deciles, median index 5 | Apache-2.0 weights; bundled CLI default | | 3.0, about 330M | `timesfm3.TimesFM3Forecaster`, `predict` / `predict_batch` | 9 deciles, median index 4 | Downloaded weights restricted to non-commercial, non-production use | Upstream identifies 3.0 as the latest model. This skill retains 2.5 as its default local workflow because its Apache-licensed weights have different usage terms. For 3.0 multivariate targets, past-only covariates or Apple MLX, read [references/timesfm3.md](references/timesfm3.md) before adapting code. Authorized Google Cloud services have separate terms; a Cloud entitlement does not change the license of downloaded weights. See the [upstream license notice](https://github.com/google-research/timesfm#license-notice-for-pretrained-weights). Use TimesFM for forecasting an ordered temporal target without task-specific …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/timesfm-forecasting@sha256:6f785fe73b133e9aThe line at the top of this page pins the label v3.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_nu2s4kyhg4m6t2zl)
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Versions
The registry has recorded 8 versions of this file, between Jun 11, 2026 and Oct 1, 2026, about one every 16 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v3.0 latest | 2026-10-01 | a92663a | 9,521 B | A | view · diff |
| v2.1 | 2026-09-30 | a0aea74 | 16,649 B | A | view · diff |
| v2.0 | 2026-09-30 | ce9e6e9 | 16,649 B | A | view · diff |
| v1.2 | 2026-07-31 | 4226ca8 | 15,557 B | A | view · diff |
| v1.1 | 2026-07-31 | bd99c01 | 15,557 B | A | view · diff |
| v1.1 | 2026-07-26 | 2f2022d | 15,591 B | A | view · diff |
| v1.0 | 2026-07-26 | b085e11 | 30,170 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 30,178 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9521 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_nu2s4kyhg4m6t2zl GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/timesfm-forecasting GET https://markdownregistry.com/api/v1/blob/6f785fe73b133e9af7720fa46cf9013645198950155624889ef611b7b0dc74b8
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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