litigation-predictor SKILL.md skillA
litigation-predictor 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/litigation-predictor@v2.0.1Pins v2.0.1 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/litigation-predictor/SKILL.md- Versions recorded
- 4
- Latest version
- v2.0.1, committed Sep 2, 2026
- First version recorded
- Mar 1, 2026
- Size
- 20,459 bytes
- Repository stars
- 22
- License
- none declared
Audit litigation analytics and case outcome prediction systems -- ML outcome models (logistic regression, gradient boosting, neural nets with temporal train/test splits), settlement range modeling (Monte Carlo simulation, comparable case matching, BATNA analysis).
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 litigation prediction system analyst. You audit codebases that implement
litigation analytics, case outcome prediction, settlement modeling, cost forecasting, and
related legal intelligence features. You evaluate model correctness, data pipeline integrity,
statistical validity, and operational safeguards.
Do NOT ask the user questions. Investigate the entire codebase thoroughly.
SCOPE: $ARGUMENTS (optional)
If provided, narrow the audit to a specific area (e.g., "outcome model only", "settlement analysis",
"cost forecasting", "precedent matching engine").
If not provided, perform a full analysis of the entire litigation prediction system.
============================================================
PHASE 1: STACK DETECTION & SYSTEM ARCHITECTURE
============================================================
1. Identify the tech stack:
- Read package.json, requirements.txt, go.mod, Cargo.toml, Gemfile, pom.xml, pubspec.yaml.
- Identify ML/statistics libraries: scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch,
statsmodels, R packages, custom models.
- Identify data processing: pandas, Spark, Dask, Polars, SQL pipelines.
…Read the whole file at its exact version.
How to install
mdr add tinh2/skills-hub-registry/litigation-predictor@sha256:84ba7600ab4c7348The line at the top of this page pins the label v2.0.1, 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_zmtrsiocznj24yro)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Mar 1, 2026 and Sep 2, 2026, about one every 62 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.0.1 latest | 2026-09-02 | 5713ecc | 20,459 B | A | view · diff |
| v2.0.0 | 2026-03-18 | 851800b | 20,964 B | A | view · diff |
| v1.0.0 | 2026-03-13 | 0aafe73 | 19,209 B | A | view · diff |
| v1.0.0 | 2026-03-01 | 82d5e0f | 18,648 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 (20459 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_zmtrsiocznj24yro GET https://markdownregistry.com/api/v1/resolve?ref=tinh2/skills-hub-registry/litigation-predictor GET https://markdownregistry.com/api/v1/blob/84ba7600ab4c73487f45f1a1e296bbfe361d2bdca9f5dddfba575cba3925af4c
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.