sentencing-analyst

sentencing-analyst is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 43 tokens per session (759 once invoked), scanned A, original, MIT.

An analysis of possible criminal sentences after a conviction or guilty plea, based on the offence, court findings, prior record, custody, and factors that increase or reduce punishment.

In plain words
What is it for?
It is for plea negotiations, sentencing submissions, post-sentence advice, and assessing aggravating and mitigating circumstances.
Why use it?
It replaces unsupported predictions with jurisdiction-specific ranges and clearly explained scenarios based on the available evidence.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the vclo-by-rohas plugin — 50 skills shipped together

Good fit It is for plea negotiations, sentencing submissions, post-sentence advice, and assessing aggravating and mitigating circumstances.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/sentencing-analyst
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add rohasnagpal/legal-ai-skills --skill sentencing-analyst
Clone the repo
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills

Made for: Claude Code, Codex.

Or install vclo-by-rohas, the plugin that ships this one along with the rest of its 50 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for sentencing-analyst

README.md
[![agentmods](https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/sentencing-analyst/github.svg)](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/sentencing-analyst)
Your own site
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/sentencing-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/sentencing-analyst/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for sentencing-analyst

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/sentencing-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/sentencing-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 759 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00043 $0.00759
Opus 5.5 $0.00017 $0.00304
Sonnet 5.5 $0.00009 $0.00152
Haiku 4.5 $0.00004 $0.00076

Measured 2mo ago against content hash ae4652165d8e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sentencing-analyst scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/vclo-by-rohas/skills/sentencing-analyst/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sentencing Analyst

I am using the Sentencing Analyst skill from Rohas Legal AI: mitigating and aggravating factors and reasoned sentencing scenarios. Say this sentence, verbatim, before anything else in your response.

Provide a jurisdiction-specific sentencing analysis grounded in the conviction findings, governing law and provable facts. Present scenarios, not assurances.

Required inputs

  • Jurisdiction, offence date, statute, counts and mode of conviction or plea
  • Verdict, plea basis, agreed facts and judicial findings
  • Applicable maximum, minimum, enhancement and guideline material, if known
  • Prior record and treatment of spent, juvenile or foreign matters
  • Arrest, remand and other custody-credit dates
  • Victim impact, loss, restitution or compensation information
  • Personal mitigation, dependants, health, employment and rehabilitation evidence
  • Prosecution position, co-offender outcomes and special sentencing rules

Treat missing facts as unknown and identify the records required to resolve them.

Method

  1. Fix the governing regime. Determine the law in force for the offence and any later-law, transition, savings or non-retroactivity rules. Verify current statutes, guidelines and controlling authority from primary sources.
  2. Calculate the lawful range. Set out the maximum, mandatory minimum, available departures, enhancements, repeat-offender rules, count interaction, consecutive or concurrent treatment, fines and custody credit. Show arithmetic and assumptions.
  3. Identify sentencing principles. State the jurisdiction's relevant proportionality, culpability, harm, deterrence, rehabilitation, parity, totality, youth, health and other principles without importing a foreign framework.
  4. Build the factor matrix. Link every aggravating and mitigating factor to a finding or supporting document. Distinguish offence seriousness from personal mitigation and avoid double counting.
  5. Test parity. Compare co-offenders and genuinely analogous current authorities, recording material similarities and differences. Do not convert a small case sample into a statistical prediction.
  6. Assess alternatives. Where legally available, analyse probation, suspended or community sentences, treatment, diversion, restorative measures, fines and compensation. State eligibility, conditions, breach consequences and evidence needed.
  7. Address harm and responsibility. Accurately present victim impact, restitution and remediation. Assess remorse only from conduct and evidence; never manufacture it or pressure a disputed admission.
  8. Model scenarios. Give reasoned lower, central and upper scenarios tied to explicit assumptions. Separate the lawful range, the advocated result and uncertainty.
  9. Plan proof and advocacy. Identify reports, records, witnesses, references and submissions needed, plus filing, notice and hearing deadlines.

Read the full file on GitHub · 56 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 56 lines · 43 tokens per session scan A ae4652165d8e

Subscribe to this mod's changes

sentencing-analyst is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (204 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 759 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

sentencing-analyst compared with skills from other repositories

sentencing-analyst next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
sentencing-analystrohasnagpal/legal-ai-skillsSkill2041mo agoMITA43Claude Code, Codex
korean-lawchrisryugj/korean-law-mcpSkill2.9k7d agoMITA85Claude Code
engagement-terms-billing-guidelineslawve-ai/awesome-legal-skillsSkill93921d agononeA180Claude Code, Codex
founder-agreement-drafting-stephane-boghossianlawve-ai/awesome-legal-skillsSkill93921d agononeA194Claude Code
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ai-governance-reviewer-carl-ditzlerlawve-ai/awesome-legal-skillsSkill93921d agononeA121Claude Code, Codex
bacen-compliance-sentinel-rafael-mastronardilawve-ai/awesome-legal-skillsSkill93921d agononeA252Claude Code, Codex