commitment-ledger

commitment-ledger is a skill for Claude Code, Codex from Zoominfo/zoominfo-mcp-plugin. It costs 120 tokens per session (616 once invoked), scanned A, original, MIT.

A two-sided record of promises made by your team and a customer or contact during recent conversations, including unfinished commitments.

In plain words
What is it for?
Use it to review an account, contact, or selected calls and identify outstanding actions, including commitments tied to a contract.
Why use it?
It helps turn scattered email and meeting discussions into a clear list of who agreed to do what and what remains open.

Skill for Claude CodeCodex

Part of the zoominfo plugin — 35 skills, 1 MCP server shipped together

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.

agentmods
npx agentmods add skills/zoominfo/zoominfo-mcp-plugin/commitment-ledger
Any agent
npx skills add Zoominfo/zoominfo-mcp-plugin --skill commitment-ledger
Clone the repo
git clone --depth 1 https://github.com/Zoominfo/zoominfo-mcp-plugin

Made for: Claude Code, Codex.

Or install zoominfo, the plugin that ships this one along with the rest of its 35 skills, 1 MCP server.

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 commitment-ledger

README.md
[![agentmods](https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/commitment-ledger.svg)](https://agentmods.dev/skills/zoominfo/zoominfo-mcp-plugin/commitment-ledger)
Your own site
<a href="https://agentmods.dev/skills/zoominfo/zoominfo-mcp-plugin/commitment-ledger"><img src="https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/commitment-ledger.svg" alt="Measured on agentmods" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 616 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00120 $0.00616
Opus 5 $0.00060 $0.00308
Sonnet 5 $0.00024 $0.00123
Haiku 4.5 $0.00012 $0.00062

Measured 5d ago against content hash bf9567a02bf3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

commitment-ledger 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 5d 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.

skills/commitment-ledger/SKILL.md · 46 lines

How it starts

The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Commitment Ledger

A two-sided accounting of promises across recent conversations: ours, theirs, and what is still open.

Prerequisites

conversation_intelligence requires at least one connected email or meeting source and consumes AI credits. browse_engagements (used to scope or pick engagements) requires an active integration and is free. If no conversation data exists, say so rather than presenting an empty ledger as "no commitments".

Input

Provided via $ARGUMENTS:

  • Scope (required) — an account (company ID or name/domain), a contact (contact ID or name + company), or specific calls to review.
  • Emphasis (optional) — e.g. "just what they owe us", "anything tied to the contract". Shapes the output.

Workflow

  1. Resolve scope. Use a ZoomInfo ID directly, or resolve a name via search_companies / search_contacts. If the user wants specific calls and none are named, present a browse_engagements shortlist to pick from before spending credits.
  2. Extract commitments. Run conversation_intelligence scoped to the account, contact, or chosen engagement. Ask it to list commitments by side (what we said we would do; what they said they would do), with status and the source meeting. Keep CI scoped to one ID per call; it sees only the last few engagements and cannot count or topic-search, so frame this as a recent-commitments ledger, not an exhaustive audit.
  3. Reconcile. Mark each commitment open, done, or unclear based on later conversations. Flag anything overdue or contradicted. Attribute every line to a source meeting; do not list a commitment the conversation does not support.

Output Format

Commitment Ledger — [Account / Contact]

Covers the last few engagements (through [date]). Not a full-history audit.

We owe them

Commitment Made on Status

They owe us

Commitment Made on Status

Outstanding / overdue — a short list of what most needs chasing, with who owns it.

Read the full file on GitHub · 46 lines

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. 5d ago First seen · 46 lines · 120 tokens per session scan A bf9567a02bf3

Subscribe to this mod's changes

commitment-ledger is a skill published in the GitHub repository Zoominfo/zoominfo-mcp-plugin (7 stars, last pushed yesterday), licensed MIT. It adds 120 tokens to every session and 616 once invoked, about $0.0006 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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