Algo Ad Vcg

What it does

When your agent uses it

• The user needs to design a truthful auction mechanism
• Compute externality-based payments
• Understand why platforms may prefer GSP over VCG — even if they say truthful auction design
• Incentive-compatible mechanism

Example prompts

• “truthful auction design”
• “VCG payments”
• “incentive-compatible mechanism”
• “/algo-ad-vcg”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

1. 1Input Validation
2. 2Core Algorithm
3. 3Verification
4. 4Output

What it can do on your machine

Read from SKILL.md and the folder at commit 4e7f4f8. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Algo Ad Vcg loads about 993 tokens when it runs, and up to ~6k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 372 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~91

When it runs · the whole SKILL.md, loaded when a task matches

~993

With references · SKILL.md plus every file in references/, read only if the agent opens them

~6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 372 words, ~993 tokens.

name

algo-ad-vcg

description

Implement VCG mechanism for incentive-compatible ad slot allocation with truthful bidding. Use this skill when the user needs to design a truthful auction mechanism, compute externality-based payments, or understand why platforms may prefer GSP over VCG — even if they say 'truthful auction design', 'VCG payments', or 'incentive-compatible mechanism'.

metadata.category

WP-37 廣告演算法

metadata.tags

advertising, auction, vcg, mechanism-design

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.

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

© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in algo-ad-vcg of asgard-ai-platform/skills.

• SKILL.md
• examples/sample_scenario.md
• references/combinatorial-vcg.md
• references/revenue-comparison.md

Open the folder on GitHubat commit 4e7f4f8