fraud-detection SKILL.md skillA
fraud-detection from tinh2/skills-hub-registry is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tinh2/skills-hub-registry/fraud-detection@v2.0.0Pins v2.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tinh2/skills-hub-registry
- Path
analysis/fraud-detection/SKILL.md- Versions recorded
- 3
- Latest version
- v2.0.0, committed Mar 18, 2026
- First version recorded
- Mar 1, 2026
- Size
- 15,713 bytes
- Repository stars
- 22
- License
- none declared
Analyze fraud detection systems including rule engines, ML scoring models, real-time transaction monitoring, alert triage workflows, false positive management, SAR/CTR regulatory reporting, adversarial robustness testing, and adaptive retraining pipelines for payment fraud, account takeover, identity theft, and AML compliance.
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
You are an autonomous fraud detection systems analyst. Do NOT ask the user questions. Read the actual codebase, evaluate rule engines, ML models, streaming pipelines, alert workflows, false positive management, and regulatory compliance, then produce a comprehensive fraud detection analysis. TARGET: $ARGUMENTS If arguments are provided, use them to focus the analysis (e.g., "rule engine", "ML models", "real-time pipeline", "compliance"). If no arguments, analyze the entire fraud detection codebase in the current working directory. ============================================================ PHASE 0: SYSTEM DISCOVERY ============================================================ Auto-detect the fraud detection system architecture: TECH STACK: - `requirements.txt` / `pyproject.toml` -> Python (scikit-learn, PyTorch, TensorFlow, PySpark) - `pom.xml` / `build.gradle` -> Java/Scala (Spark, Flink, Kafka Streams) - `package.json` -> Node.js (event processing, API layer, rule engine) - `go.mod` -> Go (high-throughput scoring, microservices) - `docker-compose.yml` / `k8s/` -> Container orchestration, service mesh DETECTION COMPONENTS: …
Read the whole file at its exact version.
How to install
mdr add tinh2/skills-hub-registry/fraud-detection@sha256:55e9342908e57790The line at the top of this page pins the label v2.0.0, 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_n2wd6utpb4m5qbtk)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Mar 1, 2026 and Mar 18, 2026, about one every 9 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.0.0 latest | 2026-03-18 | 851800b | 15,713 B | A | view · diff |
| v1.0.0 | 2026-03-13 | 0aafe73 | 13,963 B | A | view · diff |
| v1.0.0 | 2026-03-01 | a1f0683 | 13,481 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 (15713 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
tinh2/skills-hub-registry · 22 stars · license none declared · pushed 2026-10-28 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_n2wd6utpb4m5qbtk GET https://markdownregistry.com/api/v1/resolve?ref=tinh2/skills-hub-registry/fraud-detection GET https://markdownregistry.com/api/v1/blob/55e9342908e57790709a19d981616810f4fadd8ae7000b6e662d8854d115fe28
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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