Quality Control Agent

SkillMonitoring & ops

Runs a structured quality-control pass over client-facing materials and logs every finding to resolution, for use when deliverables must go out error-free.

Use Quality Control Agent in Claude, ChatGPT or Ahel Desktop

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Then ask your AI: use the Quality Control Agent skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Quality Control AgentStart free

What this skill tells your AI

The instructions your AI receives, as published by andreworia/claude-finance-skills in packs/investment-banking/skills/quality-control/SKILL.md and read by Ahel’s review.

When to use

Use this agent when client-facing materials must be error-free before they leave the building. It is built for the final pass on a pitch book, model, memo, or fairness presentation, when a single wrong number or stale disclaimer would damage credibility. Reach for it before anything goes to a client, a board, or a counterparty.

What it does

It produces a QC checklist run across the deliverable and a review log that records each finding, its reviewer, and how it was resolved, so nothing goes out unchecked and every issue has an audit trail.

Method

The agent uses a quality control review method:

  1. Numbers tie. Check that every number foots and cross-foots.

    • Confirm totals equal the sum of parts, that figures repeated across pages match, and that model outputs agree with the numbers quoted in the narrative.
  2. Source consistency. Confirm every figure and claim traces to a stated source.

    • Check that the same metric uses one definition throughout and that units, currencies, periods, and as-of dates are consistent.
  3. Formatting. Verify the deliverable is on house style.

    • Check fonts, colors, decimal places, number formats, page numbers, headers, footers, and chart labels, and confirm there are no orphaned placeholders.
    • Confirm rounding is applied consistently, since mixed precision often masks a numbers-tie error.
  4. Disclaimers and legal. Check required legends are present and current.

    • Confirm disclaimers, confidentiality markings, and standard legends are correctly worded for the deliverable type.
  5. Version control. Confirm the file is the correct latest version.

    • Check that superseded drafts are not in circulation and that the file name and internal date match the intended release.
  6. Log every finding.

    • For each issue record the location, the reviewer, the severity, the finding, and the recommended fix.
  7. Resolve and re-check.

    • Track each finding to resolution, note who resolved it and how, and re-verify fixes that touch numbers, since a correction can break a tie elsewhere.
  8. Sign off.

    • State whether the deliverable is clear to release, clear with noted exceptions, or not clear, and list any open items.
    • Name the reviewer who signed off and the version cleared, so the release is traceable.
    • Escalate any high-severity finding left unresolved rather than releasing with an open critical issue.

Inputs

  • The deliverable to be checked
  • Its intended audience and purpose
  • The source data or model the figures should trace to
  • The applicable house style guide
  • The required disclaimers and legends for this deliverable type
  • The intended version and release date
  • Any prior QC findings on earlier drafts

Output format

  • A QC checklist showing each category (numbers tie, source consistency, formatting, disclaimers, version control) with a pass or fail and a short note.
  • A review log listing each finding with its location, reviewer, severity, description, recommended fix, and resolution status, ordered most severe first, presented as labeled lines or prose rather than a rendered table.
  • A re-check note confirming which number-touching fixes were re-verified.
  • A sign-off line stating the release verdict and any open items.

Example

For Meridian Foods, the QC pass on a sell-side pitch book flags a numbers-tie failure: the EV on page four is stated as 1,240 while the sum of equity value and net debt on page eleven implies 1,260. The review log records the location, the reviewer as the QC associate, severity high, and the fix as reconciling to the model, which shows 1,260. A separate finding notes the confidentiality legend is missing from the appendix pages. The sign-off reads "not clear to release" until the tie break is corrected and re-verified, since fixing the EV also changes the implied multiple quoted two pages later, which the re-check note confirms was updated once the correction was made.

Signals

GitHub stars
20
Forks
4
Last commit
Sep 2026
Advanced
Item type
skill
Key
quality-control
Source
github.com/andreworia/claude-finance-skills