TimesFM Forecasting
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
Investigate outliers, rare events, spikes, and suspicious records in datasets.
Install Detecting Data Anomalies
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill detecting-data-anomalies -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills detecting-data-anomalies --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/bundled/skills/detecting-data-anomalies .claude/skills/detecting-data-anomalies && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "detecting-data-anomalies" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/detecting-data-anomalies into .claude/skills/detecting-data-anomalies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-data-anomalies", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/detecting-data-anomaliesType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill detecting-data-anomalies -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills detecting-data-anomalies --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/bundled/skills/detecting-data-anomalies .agents/skills/detecting-data-anomalies && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "detecting-data-anomalies" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/detecting-data-anomalies into .agents/skills/detecting-data-anomalies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-data-anomalies", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill detecting-data-anomalies -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills detecting-data-anomalies --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/bundled/skills/detecting-data-anomalies .cursor/skills/detecting-data-anomalies && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "detecting-data-anomalies" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/detecting-data-anomalies into .cursor/skills/detecting-data-anomalies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-data-anomalies", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/foryourhealth111-pixel/Vibe-Skills.git --path bundled/skills/detecting-data-anomalies--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill detecting-data-anomalies -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills detecting-data-anomalies --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/bundled/skills/detecting-data-anomalies .gemini/skills/detecting-data-anomalies && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "detecting-data-anomalies" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/detecting-data-anomalies into .gemini/skills/detecting-data-anomalies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-data-anomalies", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install foryourhealth111-pixel/Vibe-Skills detecting-data-anomaliesInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill detecting-data-anomalies -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/bundled/skills/detecting-data-anomalies .github/skills/detecting-data-anomalies && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "detecting-data-anomalies" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/detecting-data-anomalies into .github/skills/detecting-data-anomalies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-data-anomalies", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill detecting-data-anomalies -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills detecting-data-anomalies --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/bundled/skills/detecting-data-anomalies .opencode/skills/detecting-data-anomalies && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "detecting-data-anomalies" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/detecting-data-anomalies into .opencode/skills/detecting-data-anomalies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-data-anomalies", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
detecting-data-anomalies- GitHub stars
- 3.6k
- Token cost
- ~379 tokens
- SKILL.md length
- 121 words
- Files
- 11 (incl. scripts, references, assets)
- Skills in repo
- 81
- Repo updated
- First seen
- Licence
- MIT
At a glance
Investigate outliers, rare events, spikes, and suspicious records in datasets.
- Tasks that involve Anomaly detection
- SKILL.md covers Positioning, When to Use, Not For / Boundaries and Typical Outputs, plus 1 more section
- Runs Python scripts from its folder
What it does
Detecting Data Anomalies is an agent skill from foryourhealth111-pixel/Vibe-Skills. Investigate outliers, rare events, spikes, and suspicious records in datasets. Use as an explicit anomaly-analysis helper when you want concrete anomaly-detection workflow guidance, not generic data validation or end-to-end ML ownership.
Its SKILL.md is about 380 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts, reference files and assets (for example `assets/README.md`, `references/README.md` and `references/errors.md`).
It sits in Data & Analytics, covering Anomaly detection. It works with scikit-learn. The repository describes itself as: Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE. The licence is MIT.
When your agent uses it
- Tasks that involve Anomaly detection
Example prompts
- “/detecting-data-anomalies”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Read, Bash(python:*), Grep, Glob
What it can do on your machine
Read from SKILL.md and the folder at commit ddcaa2a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadBash(python:*)GrepGlob
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 5 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Detecting Data Anomalies loads about 379 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 121 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from foryourhealth111-pixel/Vibe-Skills at commit ddcaa2a, republished under its MIT licence (© foryourhealth111-pixel). 121 words, ~379 tokens.
Download SKILL.mdSave it as
.claude/skills/detecting-data-anomalies/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.- name
- detecting-data-anomalies
- description
- Investigate outliers, rare events, spikes, and suspicious records in datasets. Use as an explicit anomaly-analysis helper when you want concrete anomaly-detection workflow guidance, not generic data validation or end-to-end ML ownership.
- allowed-tools
- Read, Bash(python:*), Grep, Glob
- version
- 1.0.0
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
Detecting Data Anomalies
Positioning
Treat this skill as an explicit/manual helper.
In governed ML routing, anomaly-detection ownership normally belongs to scikit-learn.
When to Use
Use this skill when:
- Reviewing outlier transactions, fraud candidates, sensor spikes, or rare failures
- Comparing isolation forest, one-class SVM, LOF, or threshold-based anomaly workflows
- Turning suspicious records into a shortlist for human inspection
Not For / Boundaries
- Null/duplicate/schema/range validation: use
exploratory-data-analysis - Full model training or end-to-end pipeline ownership: use
scikit-learnorml-pipeline-workflow - Publication-grade figure production: use
scientific-visualization
Typical Outputs
- Candidate anomaly-detection methods and thresholds
- A review checklist for false positives and false negatives
- Suggested tables or plots for the suspicious subset
Related Skills
scikit-learnas the governed routed owner for classical anomaly-detection workflowscreating-data-visualizationsafter anomalies are identified
© foryourhealth111-pixel, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 10 other files (scripts, references, assets) in bundled/skills/detecting-data-anomalies of foryourhealth111-pixel/Vibe-Skills.
- SKILL.md
- assets/README.md
- references/README.md
- references/errors.md
- references/examples.md
- references/implementation.md
- scripts/README.md
- scripts/algorithm_selector.py
- scripts/anomaly_visualizer.py
- scripts/data_loader.py
- scripts/report_generator.py
Open the folder on GitHubat commit ddcaa2a
Compare with similar skills
Detecting Data Anomalies next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Detecting Data Anomalies this skillforyourhealth111-pixel/Vibe-Skills | 3.6k | — | ~379 | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Time Series Analytics Useropen-edge-platform/edge-ai-libraries | 171 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Aeon Time Series Machine Learningdavila7/claude-code-templates | 33k | 13 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.7k | 16 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Anomalib Adding A Modelopen-edge-platform/anomalib | 6.2k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 |
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Guides time series machine learning with the aeon toolkit: classification, regression, clustering, forecasting, anomaly detection, segmentation and similarity search.
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Adds a new anomaly-detection model to anomalib under src/anomalib/models/.
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Related
Works with
Categories
Questions about Detecting Data Anomalies
What does Detecting Data Anomalies do?
Investigate outliers, rare events, spikes, and suspicious records in datasets. Detecting Data Anomalies is an agent skill from foryourhealth111-pixel/Vibe-Skills. Investigate outliers, rare events, spikes, and suspicious records in datasets.
When should I use Detecting Data Anomalies?
Detecting Data Anomalies fits situations like: tasks that involve Anomaly detection.
How do I install Detecting Data Anomalies in Claude Code?
Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill detecting-data-anomalies -a claude-code`. Or copy the skill folder (bundled/skills/detecting-data-anomalies in foryourhealth111-pixel/Vibe-Skills) into .claude/skills/detecting-data-anomalies in your project. Claude Code loads it when a task matches its description.
How do I install Detecting Data Anomalies in Codex?
Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill detecting-data-anomalies -a codex`. Or copy the skill folder (bundled/skills/detecting-data-anomalies in foryourhealth111-pixel/Vibe-Skills) into .agents/skills/detecting-data-anomalies in your project. Codex loads it when a task matches its description.
Can I use Detecting Data Anomalies in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill detecting-data-anomalies -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/detecting-data-anomalies, .gemini/skills/detecting-data-anomalies, .github/skills/detecting-data-anomalies and .opencode/skills/detecting-data-anomalies in your project.
What does Detecting Data Anomalies need to run?
Going by SKILL.md and its folder, Detecting Data Anomalies needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Bash(python:*), Grep, Glob.
Does Detecting Data Anomalies access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Detecting Data Anomalies safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Detecting Data Anomalies use?
Detecting Data Anomalies is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Detecting Data Anomalies use?
About 379 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 881 tokens, read only when the agent opens those files.
What are the alternatives to Detecting Data Anomalies?
Skills that share tags, products or a category with Detecting Data Anomalies: TimesFM Forecasting (google-research/timesfm, 34k stars), Time Series Analytics User (open-edge-platform/edge-ai-libraries, 171 stars), Aeon Time Series Machine Learning (davila7/claude-code-templates, 33k stars) and Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Detecting Data Anomalies?
foryourhealth111-pixel (a GitHub user) maintains it in foryourhealth111-pixel/Vibe-Skills, which has 3,627 GitHub stars. The repository holds 81 skills in this directory. The repository was last updated on August 31, 2026.
Source: foryourhealth111-pixel/Vibe-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.