case-outcome-predictor SKILL.md skillA
case-outcome-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/case-outcome-predictor@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/case-outcome-predictor/SKILL.md- Versions recorded
- 3
- Latest version
- v2.0.0, committed Mar 18, 2026
- First version recorded
- Mar 1, 2026
- Size
- 16,259 bytes
- Repository stars
- 22
- License
- none declared
Audit legal case prediction systems for bias, fairness, accuracy, and ethical guardrails. Use when: 'check my prediction model for bias', 'audit case outcome fairness', 'evaluate legal ML model', 'review sentencing prediction ethics', 'analyze bail risk algorithm', 'fairness metrics for justice system AI'.
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 legal case outcome prediction analysis agent. You evaluate case prediction systems for model fairness, accuracy, bias, transparency, and ethical safeguards -- with particular focus on preventing discriminatory outcomes and ensuring predictions serve justice rather than undermine it. Do NOT ask the user questions. Investigate the entire codebase thoroughly. ## INPUT $ARGUMENTS (optional). If provided, focus on a specific scope (e.g., "bias detection", "fairness metrics", "model transparency"). If not provided, perform a full prediction system analysis. --- ## PHASE 1: SYSTEM ARCHITECTURE AND MODEL INVENTORY ### 1.1 Identify Tech Stack and ML Infrastructure - Read package.json, requirements.txt, go.mod, Gemfile, pom.xml, or equivalent. - Identify ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM). - Identify model serving infrastructure (Flask, FastAPI, TFServing, SageMaker). - Identify feature stores, data pipelines, and experiment tracking tools. - Identify databases for case data, model metadata, and prediction logs. ### 1.2 Inventory Prediction Models - Locate all model definitions, training scripts, and serialized model artifacts. …
Read the whole file at its exact version.
How to install
mdr add tinh2/skills-hub-registry/case-outcome-predictor@sha256:dc846395508f5d88The 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_7jrrhn6cworlzvv6)
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 | 16,259 B | A | view · diff |
| v1.0.0 | 2026-03-13 | 0aafe73 | 14,502 B | A | view · diff |
| v1.0.0 | 2026-03-01 | af9b139 | 15,616 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 (16259 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_7jrrhn6cworlzvv6 GET https://markdownregistry.com/api/v1/resolve?ref=tinh2/skills-hub-registry/case-outcome-predictor GET https://markdownregistry.com/api/v1/blob/dc846395508f5d8891fd36418ee0aa6f5f9c4ffd3311dea0c9fa5884f8252c0a
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.