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.
Scans transactions for fraud and anomaly signals — duplicate charges within 48 hours, transactions more than 3 standard deviations above a merchant's historical average, first-ever transaction with…
Install Anomaly Fraud Scanner
$ npx skills add lyndonkl/claude --skill anomaly-fraud-scanner -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lyndonkl/claude anomaly-fraud-scanner --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/lyndonkl/claude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/anomaly-fraud-scanner .claude/skills/anomaly-fraud-scanner && 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 "anomaly-fraud-scanner" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/anomaly-fraud-scanner into .claude/skills/anomaly-fraud-scanner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anomaly-fraud-scanner", 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/lyndonkl/claude/tree/main/skills/anomaly-fraud-scannerType 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 lyndonkl/claude --skill anomaly-fraud-scanner -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lyndonkl/claude anomaly-fraud-scanner --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lyndonkl/claude.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/anomaly-fraud-scanner .agents/skills/anomaly-fraud-scanner && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "anomaly-fraud-scanner" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/anomaly-fraud-scanner into .agents/skills/anomaly-fraud-scanner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anomaly-fraud-scanner", 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 lyndonkl/claude --skill anomaly-fraud-scanner -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lyndonkl/claude anomaly-fraud-scanner --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lyndonkl/claude.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/anomaly-fraud-scanner .cursor/skills/anomaly-fraud-scanner && 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 "anomaly-fraud-scanner" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/anomaly-fraud-scanner into .cursor/skills/anomaly-fraud-scanner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anomaly-fraud-scanner", 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/lyndonkl/claude.git --path skills/anomaly-fraud-scanner--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 lyndonkl/claude --skill anomaly-fraud-scanner -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lyndonkl/claude anomaly-fraud-scanner --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lyndonkl/claude.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/anomaly-fraud-scanner .gemini/skills/anomaly-fraud-scanner && 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 "anomaly-fraud-scanner" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/anomaly-fraud-scanner into .gemini/skills/anomaly-fraud-scanner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anomaly-fraud-scanner", 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 lyndonkl/claude anomaly-fraud-scannerInstalls 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 lyndonkl/claude --skill anomaly-fraud-scanner -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lyndonkl/claude.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/anomaly-fraud-scanner .github/skills/anomaly-fraud-scanner && 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 "anomaly-fraud-scanner" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/anomaly-fraud-scanner into .github/skills/anomaly-fraud-scanner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anomaly-fraud-scanner", 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 lyndonkl/claude --skill anomaly-fraud-scanner -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lyndonkl/claude anomaly-fraud-scanner --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lyndonkl/claude.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/anomaly-fraud-scanner .opencode/skills/anomaly-fraud-scanner && 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 "anomaly-fraud-scanner" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/anomaly-fraud-scanner into .opencode/skills/anomaly-fraud-scanner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anomaly-fraud-scanner", 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
anomaly-fraud-scanner- GitHub stars
- 164
- Token cost
- ~2k tokens
- SKILL.md length
- 650 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- None found
At a glance
Scans transactions for fraud and anomaly signals — duplicate charges within 48 hours, transactions more than 3 standard deviations above a merchant's historical average, first-ever transaction with…
- Vigilance scans on every drop
- SKILL.md covers Table of Contents, Overview, Input contract and Detection rules, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- After any large unexplained outflow
What it does
Anomaly Fraud Scanner is an agent skill from lyndonkl/claude. Scans transactions for fraud and anomaly signals — duplicate charges within 48 hours, transactions more than 3 standard deviations above a merchant's historical average, first-ever transaction with a new merchant above a high-dollar threshold, and unusual geography or time. Produces severity-tagged alerts with the transaction id, evidence, and a recommended action (call bank, freeze card, dispute, monitor). Use for vigilance scans on every drop, after any large unexplained outflow, or when user mentions fraud…
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Anomaly detection. The repository describes itself as: Agents, skills and anything else to use with claude.
When your agent uses it
- Vigilance scans on every drop
- After any large unexplained outflow
- User mentions fraud check
- Suspicious charge
Example prompts
- “Use the anomaly-fraud-scanner skill to scan transactions for fraud and anomaly signals — duplicate charges within 48 hours, transactions more than 3…”
- “/anomaly-fraud-scanner”
What it can do on your machine
Read from SKILL.md and the folder at commit 4acc337. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
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
Anomaly Fraud Scanner loads about 2k tokens when it runs. Until then it costs about 151 tokens; SKILL.md has 650 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); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 650 words (~2,020 tokens).
“Fraud detection on a household budget is a different problem from fraud detection at a bank. The bank already runs sophisticated rules; this skill exists to catch what the bank misses — small recurring fraud below their threshold, unfamiliar merchant…”
- name
- anomaly-fraud-scanner
Files
Just SKILL.md in skills/anomaly-fraud-scanner of lyndonkl/claude.
Open the folder on GitHubat commit 4acc337
Compare with similar skills
Anomaly Fraud Scanner 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 |
|---|---|---|---|---|---|---|
| Anomaly Fraud Scanner this skilllyndonkl/claude | 164 | — | ~2k | Automated safety check: Pass | None | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Anomalib Adding A Modelopen-edge-platform/anomalib | 6.2k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Anomalib Tiled Ensembleopen-edge-platform/anomalib | 6.2k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Kqlmicrosoft/fabric-rti-mcp | 131 | — | ~6.2k | Automated safety check: Pass | MIT | |
| Time Series Analytics Useropen-edge-platform/edge-ai-libraries | 171 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Anomalib Adding A Model
open-edge-platform/anomalib
Adds a new anomaly-detection model to anomalib under src/anomalib/models/.
Anomalib Tiled Ensemble
open-edge-platform/anomalib
Runs and configures the anomalib tiled-ensemble pipeline, which trains/evaluates one model per image tile and merges results (with optional seam smoothing) for high-resolution anomaly detection.
- Official
Kql
microsoft/fabric-rti-mcp
KQL language expertise for writing correct, efficient Kusto queries using the Fabric RTI MCP tools.
Time Series Analytics User
open-edge-platform/edge-ai-libraries
Build a new time-series analytics use case on top of the deployed Time Series Analytics microservice — bring it up with Docker Compose (from a repo clone, or by fetching the compose files from…
Dt Obs Analytics
Dynatrace/dynatrace-for-ai
Analyze dashboards and notebooks using Davis analyzers — anomaly detection, novelty scoring, and correlation.
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Questions about Anomaly Fraud Scanner
What does Anomaly Fraud Scanner do?
Scans transactions for fraud and anomaly signals — duplicate charges within 48 hours, transactions more than 3 standard deviations above a merchant's historical average, first-ever transaction with…. Anomaly Fraud Scanner is an agent skill from lyndonkl/claude. Scans transactions for fraud and anomaly signals — duplicate charges within 48 hours, transactions more than 3 standard deviations above a merchant's historical average, first-ever transaction with a new merchant above a high-dollar threshold, and unusual geography or time.
When should I use Anomaly Fraud Scanner?
Anomaly Fraud Scanner fits situations like: vigilance scans on every drop; after any large unexplained outflow; user mentions fraud check; suspicious charge.
How do I install Anomaly Fraud Scanner in Claude Code?
Run `npx skills add lyndonkl/claude --skill anomaly-fraud-scanner -a claude-code`. Or copy the skill folder (skills/anomaly-fraud-scanner in lyndonkl/claude) into .claude/skills/anomaly-fraud-scanner in your project. Claude Code loads it when a task matches its description.
How do I install Anomaly Fraud Scanner in Codex?
Run `npx skills add lyndonkl/claude --skill anomaly-fraud-scanner -a codex`. Or copy the skill folder (skills/anomaly-fraud-scanner in lyndonkl/claude) into .agents/skills/anomaly-fraud-scanner in your project. Codex loads it when a task matches its description.
Can I use Anomaly Fraud Scanner 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 lyndonkl/claude --skill anomaly-fraud-scanner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/anomaly-fraud-scanner, .gemini/skills/anomaly-fraud-scanner, .github/skills/anomaly-fraud-scanner and .opencode/skills/anomaly-fraud-scanner in your project.
What does Anomaly Fraud Scanner need to run?
SKILL.md names no scripts, command-line tools or credentials: Anomaly Fraud Scanner is instructions for the agent only.
Does Anomaly Fraud Scanner 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 Anomaly Fraud Scanner 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. Review the folder before installing.
What licence does Anomaly Fraud Scanner use?
No licence was found for Anomaly Fraud Scanner or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Anomaly Fraud Scanner use?
About 2k tokens (SKILL.md is roughly 8.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Anomaly Fraud Scanner?
Skills that share tags, products or a category with Anomaly Fraud Scanner: TimesFM Forecasting (google-research/timesfm, 34k stars), Anomalib Adding A Model (open-edge-platform/anomalib, 6.2k stars), Anomalib Tiled Ensemble (open-edge-platform/anomalib, 6.2k stars) and Kql (microsoft/fabric-rti-mcp, 131 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Anomaly Fraud Scanner?
lyndonkl (a GitHub user) maintains it in lyndonkl/claude, which has 164 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 1, 2026.
Source: lyndonkl/claude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.