client-delivery-auditor

client-delivery-auditor is a skill for Codex from jqaisystems/jqai-ai-skills. It costs 85 tokens per session (693 once invoked), scanned A, original, MIT.

A delivery-checking workflow for reviewing final client files against the agreed project scope. It also prepares handoff instructions and a delivery message that has not been sent.

In plain words
What is it for?
Use it to inspect files, links, formats, versions and usage instructions, classify each promised item, and prepare a clear client handoff.
Why use it?
It helps catch missing, incomplete, broken or unverified deliverables before a client receives them. It keeps confirmed details separate from assumptions and items still waiting on the client.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to inspect files, links, formats, versions and usage instructions, classify each promised item, and prepare a clear client handoff.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jqaisystems/jqai-ai-skills/client-delivery-auditor
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 jqaisystems/jqai-ai-skills --skill client-delivery-auditor
Clone the repo
git clone --depth 1 https://github.com/jqaisystems/jqai-ai-skills

Made for: Codex.

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 client-delivery-auditor

README.md
[![agentmods](https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/client-delivery-auditor/github.svg)](https://agentmods.dev/skills/jqaisystems/jqai-ai-skills/client-delivery-auditor)
Your own site
<a href="https://agentmods.dev/skills/jqaisystems/jqai-ai-skills/client-delivery-auditor"><img src="https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/client-delivery-auditor/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 client-delivery-auditor

Your own site · 80×15
<a href="https://agentmods.dev/skills/jqaisystems/jqai-ai-skills/client-delivery-auditor"><img src="https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/client-delivery-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 693 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.
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 $0.00085 $0.00693
Opus 5 $0.00043 $0.00347
Sonnet 5 $0.00017 $0.00139
Haiku 4.5 $0.00009 $0.00069

Measured 12d ago against content hash 1ef8e0919f79, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

client-delivery-auditor 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.

skills/client-delivery-auditor/SKILL.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Client Delivery Auditor

Turn completed project work into a checked delivery package with clear status, instructions, and communication.

1. Reconstruct the agreed delivery scope

  • Confirm the project root, delivery milestone, recipient, and intended delivery channel.
  • Read the latest brief, proposal, feedback, approval notes, and existing handoff material.
  • Use the latest explicit decision when it changes earlier scope.
  • Do not infer pricing, rights, approval, deadlines, or included deliverables.
  • Preserve exact project names, links, dates, formats, and file requirements supplied by the user.

2. Audit every promised item

Classify each deliverable as:

  • present and verified: exists, opens correctly, and matches the agreed format
  • present but unverified: exists but still needs an appropriate check
  • partial: identifiable work remains
  • missing: promised but not found
  • excluded: explicitly removed from scope
  • awaiting client: depends on approval, content, access, or another client action

Check filenames, formats, dimensions, variants, links, versions, accessibility needs, and usage instructions relevant to the project. Do not report the delivery as ready while required items are missing or unverified.

3. Prepare the handoff

  • Use assets/client-delivery-handoff-template.md.
  • Follow an existing delivery structure when one is already established.
  • Include only final or intentionally shared files in the client package.
  • Exclude scratch work, backups, raw prompts, logs, databases, account exports, and internal notes.
  • Do not delete, rename, archive, upload, or change access permissions unless requested.
  • Keep client-facing instructions separate from internal continuation notes.

4. Draft the delivery message

  • Include To: only when the recipient is known and always include Subject:.
  • Lead with what is complete and where the client can access it.
  • Keep the message concise, warm, and easy to act on.
  • State missing or follow-up items plainly.
  • Offer future support as an option, not a sales push.
  • Request portfolio permission only when useful and include a clear opt-out.
  • Never send the message or record it as sent.

Read the full file on GitHub · 62 lines

Files

What ships with it

2 files 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 · 62 lines · 85 tokens per session scan A 1ef8e0919f79

Subscribe to this mod's changes

client-delivery-auditor is a skill published in the GitHub repository jqaisystems/jqai-ai-skills (3 stars, last pushed 1mo ago), licensed MIT. It adds 85 tokens to every session and 693 once invoked, about $0.0004 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 2026-08-31.

Related

Other skills, from other repositories

implement-improvements

Validate improvements from .turbo/improvements.md, recommend a working set tailored to what's in the backlog, and run one lane: direct fixes, investigation, or planned work. One lane per session. Use when the user asks to "implement improvements", "work on improvements", "address improvements", "process improvement…

tobihagemann/turbo · 79 tokens

note-improvement

Capture an out-of-scope improvement opportunity so it doesn't get lost. Use when the user asks to "note improvement", "save improvement", "track this for later", "remember this improvement", "note this idea", "log improvement", "backlog this", or "park this idea". Also invoke proactively when noticing something…

tobihagemann/turbo · 107 tokens

create-issue

Create a GitHub issue with a drafted title and body. Use when the user asks to "create an issue", "file an issue", "open an issue", "submit an issue", "report a bug", "file a bug report", "file a feature request", or "file a design proposal".

tobihagemann/turbo · 66 tokens

pick-next-issue

Fetch and rank open GitHub issues by community engagement, present the top 3 candidates, and plan implementation for the selected issue. Use when the user asks to "pick next issue", "next issue", "which issue should I work on", "top issues", "most popular issues", "prioritize issues", or "what should I work on next".

tobihagemann/turbo · 77 tokens

split-and-ship

Execute an approved split plan, shipping each change group separately as its own branch and PR or as sequential commits on the current branch. Use when the user asks to "split and ship", "ship the split plan", "create separate PRs", or "split changes into branches".

tobihagemann/turbo · 61 tokens

timeline-creator

Create HTML timelines and project roadmaps with Gantt charts, milestones, phase groupings, and progress indicators. Use when users request timelines, roadmaps, Gantt charts, project schedules, or milestone visualizations.

mhattingpete/claude-skills-marketplace · 47 tokens