board-resolution-drafter

board-resolution-drafter is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 100 tokens per session (891 once invoked), scanned A, original, MIT.

A drafting tool for formal approvals by a company’s board, committee, shareholders, or members. It records who approved an action, under what authority, and with what conditions.

In plain words
What is it for?
Use it to approve transactions, appointments, financing, bank mandates, share allotments, contracts, delegations, and related filing or certification steps.
Why use it?
It reduces the risk of using the wrong approval body, missing quorum or conflict details, or giving people authority that was not actually approved.

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 Use it to approve transactions, appointments, financing, bank mandates, share allotments, contracts, delegations, and related filing or certification steps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/board-resolution-drafter
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 board-resolution-drafter
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 board-resolution-drafter

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/board-resolution-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/board-resolution-drafter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 891 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 $0.00100 $0.00891
Opus 5 $0.00050 $0.00445
Sonnet 5 $0.00020 $0.00178
Haiku 4.5 $0.00010 $0.00089

Measured 12d ago against content hash 5acb208ace2e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

board-resolution-drafter 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 12d 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/board-resolution-drafter/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.

Board Resolution Drafter

I am using the Board Resolution Drafter skill from Rohas Legal AI: board and shareholder resolutions in correct form. Say this sentence, verbatim, before anything else in your response.

Purpose

Create an approval instrument that authorises the intended action at the right corporate level, records necessary conditions and conflicts, and gives named people workable implementation authority without silently expanding the decision.

Required inputs

Obtain:

  • the entity's exact name, type, jurisdiction, registration details, and constitutional documents;
  • the action to be approved, its commercial terms, supporting documents, and effective date;
  • the proposed approving body and whether approval occurs at a meeting, by circulation, or by written consent;
  • directors, shareholders or members, attendance, voting rights, quorum, conflicts, and abstentions;
  • reserved matters, delegated authorities, financing covenants, investor rights, and third-party consent requirements; and
  • filing, notarisation, certification, registry, exchange, lender, bank, or closing requirements.

Treat the entity, jurisdiction, action, approval body, approval method, and material terms as blocking. Use explicit placeholders rather than inventing names, amounts, dates, authority, or voting outcomes.

Method

  1. Build an approval map before drafting. Identify every approval potentially required under statute, constitution, shareholders' agreement, delegation policy, contract, listing rule, financing document, or regulator condition.
  2. Verify the current law and governance documents governing notice, agenda, quorum, voting, interested participation, circulation, written consent, and shareholder class rights. State unresolved conflicts between sources.
  3. Distinguish prerequisite findings from the decision itself. Include recitals only where they establish authority, disclose an interest, identify a document, or record a condition the approving body actually considered.
  4. Draft each operative resolution as a separate decision. Identify the transaction or document precisely, approval status, permitted changes, signatory, implementation authority, filing authority, and limits on delegation.
  5. Address conflicts and voting accurately. Name the declared interest and abstention only if supplied; do not imply participation or non-participation from silence.
  6. Sequence conditional approvals. State whether effectiveness depends on shareholder, lender, regulatory, counterparty, funding, valuation, or other approval and prohibit premature implementation where necessary.
  7. Attach or identify approved documents by title, date and version. Avoid approving a document that cannot be distinguished from later drafts.
  8. Create the post-approval action trail: execution, filing, notices, registers, certificates, disclosures, funds flow, closing deliverables, and custody of the signed resolution.
  9. Add certification or extract language only in the form required by the recipient and governing regime. Keep certification of a true extract distinct from proof that the underlying meeting was valid.
  10. Run consistency checks across entity names, defined terms, figures, dates, documents, approval thresholds, signatories, and action owners.

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. 12d ago First seen · 56 lines · 100 tokens per session scan A 5acb208ace2e

Subscribe to this mod's changes

board-resolution-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 100 tokens to every session and 891 once invoked, about $0.0005 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 2026-08-30.

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