production-set-checker

production-set-checker is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 67 tokens per session (786 once invoked), scanned A, original, MIT.

A quality-control guide for checking document sets before or after disclosure, including their scope, files, metadata, numbering, redactions, confidentiality, and delivery records.

In plain words
What is it for?
Checking litigation or investigation productions against the governing request, order, protocol, review records, and delivery requirements.
Why use it?
It helps find missing documents, inconsistent counts, broken files, incorrect redactions, privilege issues, and other release problems before delivery.

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 rohas-legal-ai plugin — 149 skills shipped together

Good fit Checking litigation or investigation productions against the governing request, order, protocol, review records, and delivery requirements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/production-set-checker
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 production-set-checker
Clone the repo
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills

Made for: Claude Code, Codex.

Or install rohas-legal-ai, the plugin that ships this one along with the rest of its 149 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 production-set-checker

README.md
[![agentmods](https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/production-set-checker/github.svg)](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/production-set-checker)
Your own site
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/production-set-checker"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/production-set-checker/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 production-set-checker

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/production-set-checker"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/production-set-checker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 786 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Output Handling · line 72
    Output size or generation rate is not bounded. Unbounded output enables denial-of-service through resource exhaustion, log flooding, or context-window stuffing.
    Fix: Set explicit limits on output length, generation count, and rate. Use max_tokens and truncation to prevent unbounded output.
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 $0.00067 $0.00786
Opus 5 $0.00034 $0.00393
Sonnet 5 $0.00013 $0.00157
Haiku 4.5 $0.00007 $0.00079

Measured 9d ago against content hash 7fab2c4a864a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

production-set-checker 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 9d 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/rohas-legal-ai/skills/production-set-checker/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Production Set Checker

I am using the Production Set Checker skill from Rohas Legal AI: pre-release scope, file, metadata, privilege, redaction and delivery quality control. Say this sentence, verbatim, before anything else in your response.

Run a reproducible release gate that reconciles what was ordered or agreed, what was reviewed, and what is actually being delivered.

Intake

Obtain the governing order, request, agreement or protocol; review and collection reports; source and processed counts; production specification; export, load files, images, text, natives and metadata; numbering ranges; privilege and redaction logs; confidentiality designations; exception reports; prior rolling productions; transmittal; deadline; and authorised release decision-maker.

Never open or transmit a production outside the authorised environment merely to perform a check.

Method

  1. Freeze the candidate production and record version, export time, operator, tool version, settings, file hashes or comparable integrity data, and location.
  2. Reconcile requested or ordered scope against collection, processing, review, promotion, withholding, exclusion, exception, and production counts. Explain differences; do not force totals to match.
  3. Validate numbering for uniqueness, continuity, endorsed page ranges, document boundaries, parent-child relationships, gaps, overlaps, duplicates, and prior rolling ranges.
  4. Check that images, extracted text, natives, placeholders, translations, media, container contents, attachments, and structured data are present and linked as required. Record encrypted, corrupt, unsupported, or missing items separately.
  5. Validate required metadata field names, types, encodings, date and time zones, delimiters, paths, identifiers, family links, custodians, confidentiality, and redaction indicators. Compare a reasoned sample to source data.
  6. Reconcile withheld and redacted items to the privilege log, redaction record, slip sheets, family treatment, and counsel decisions. Search for inconsistent duplicates and near-duplicates without assuming they share privilege.
  7. Test redactions visually and technically: applied area, stated basis, underlying text or layer removal, OCR, comments, revision history, metadata, hidden objects, attachments, thumbnails, and native leakage.
  8. Check confidentiality markings, legends, access tiers, personal or secret data, agreed protective measures, and any export-control or cross-border restrictions.
  9. Perform malware and file-safety checks using authorised tools, then validate archive structure, loadability, manifests, checksums, encryption, password exchange, media capacity, and delivery method.
  10. Produce blocking defects, non-blocking exceptions, remediation owners, re-test evidence, final approval, transmittal, receipt, and immutable release record. Do not certify legal compliance without the authorised signatory.

Read the full file on GitHub · 73 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. 9d ago First seen · 73 lines · 67 tokens per session scan A 7fab2c4a864a

Subscribe to this mod's changes

production-set-checker is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 67 tokens to every session and 786 once invoked, about $0.0003 per session on Opus 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.

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