"algo-ad-vcg"

"algo-ad-vcg" is a skill for Claude Code from charlieviettq/awesome-agent-skill. It costs 77 tokens per session (973 once invoked), scanned A, a copy of algo-ad-vcg, MIT.

An auction method for assigning advertising slots to bidders while encouraging them to report their true value. It sets payments according to the cost their win imposes on other bidders.

In plain words
What is it for?
Use it to design truthful multi-slot ad auctions, calculate externality-based payments, and compare VCG with GSP auctions.
Why use it?
It provides a way to allocate several ad positions by maximizing total value and makes truthful bidding the best strategy. It also clarifies why platforms may choose a different auction, called GSP, when revenue matters more.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to design truthful multi-slot ad auctions, calculate externality-based payments, and compare VCG with GSP auctions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/charlieviettq/awesome-agent-skill/algo-ad-vcg
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 charlieviettq/awesome-agent-skill --skill algo-ad-vcg
Clone the repo
git clone --depth 1 https://github.com/charlieviettq/awesome-agent-skill

Made for: Claude Code.

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 "algo-ad-vcg"

README.md
[![agentmods](https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/algo-ad-vcg/github.svg)](https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/algo-ad-vcg)
Your own site
<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/algo-ad-vcg"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/algo-ad-vcg/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 "algo-ad-vcg"

Your own site · 80×15
<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/algo-ad-vcg"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/algo-ad-vcg.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 973 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 89% copy Near-identical to another mod 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 $0.00077 $0.00973
Opus 5 $0.00039 $0.00487
Sonnet 5 $0.00015 $0.00195
Haiku 4.5 $0.00008 $0.00097

Measured 12d ago against content hash e6cff6900d0b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

"algo-ad-vcg" 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.

Origin

This is a copy

89% identical to algo-ad-vcg — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/algo-ad-vcg/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

VCG Mechanism (Vickrey-Clarke-Groves)

Overview

VCG allocates slots to maximize total social welfare and charges each winner the externality they impose on others. Truthful bidding is a dominant strategy. Runs in O(N log N + K × N) where N=bidders, K=slots.

When to Use

Trigger conditions:

  • Designing an incentive-compatible (truthful) multi-slot auction
  • Computing welfare-maximizing allocations with externality pricing
  • Academic analysis comparing VCG to GSP auctions

When NOT to use:

  • When revenue maximization matters more than truthfulness (GSP often generates more revenue)
  • For single-item auctions (standard Vickrey suffices)

Algorithm

IRON LAW: VCG Guarantees Truthful Bidding BUT May Not Maximize Revenue
VCG payments are based on externality (harm to others), not competition.
This makes VCG payments often LOWER than GSP payments. Platforms
choose GSP because it typically generates higher revenue despite
strategic bidding. Truthfulness has a revenue cost.

Phase 1: Input Validation

Collect true valuations per click for each advertiser and CTR for each slot position. Valuations must be non-negative. Gate: All valuations non-negative, slot CTRs decreasing by position.

Phase 2: Core Algorithm

  1. Compute welfare-maximizing allocation: assign advertisers to slots to maximize Σ(value_i × CTR_slot_i)
  2. For each winner i in slot s: compute total welfare WITHOUT advertiser i (re-optimize remaining bidders)
  3. VCG payment_i = (welfare of others without i) - (welfare of others with i present)
  4. This equals: Σ over lower positions j of (value_{j+1} × (CTR_j - CTR_{j+1}))

Phase 3: Verification

Check: all payments ≤ valuations (individual rationality), truthful bidding is dominant strategy, allocation maximizes welfare. Gate: IR satisfied, welfare is optimal.

Phase 4: Output

Return allocation with VCG payments and welfare metrics.

Output Format

{
  "allocation": [{"advertiser": "A", "slot": 1, "vcg_payment_per_click": 1.80, "total_welfare_contribution": 500}],
  "metadata": {"total_welfare": 1500, "total_revenue": 420, "mechanism": "vcg"}
}

Read the full file on GitHub · 85 lines

Files

What ships with it

3 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 · 85 lines · 77 tokens per session scan A e6cff6900d0b

Subscribe to this mod's changes

"algo-ad-vcg" is a skill published in the GitHub repository charlieviettq/awesome-agent-skill (25 stars, last pushed 1mo ago), licensed MIT. It adds 77 tokens to every session and 973 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to algo-ad-vcg, differing in 8 lines, and is treated as a copy.

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